title
How Kaggle Helped Him Become ML Engineer With Mechanical Engineer Degree

description
Tanul Singh is a mechanical engineer having no degree in data science or computer science. Yet after finishing his b tech he lands his first job in data science field. How did he do this? Well using Kaggle. In this video interview we will discuss some kaggle tips that you can use to make a successful career in data science. Tanul is working as a machine learning engineer in Javis and he will share some useful tips in this conversation. Tanul's linkedin: https://www.linkedin.com/in/tanul-singh/ Do you want to learn technology from me? Check https://codebasics.io/ for my affordable video courses. 🌎 Website: https://codebasics.io/ 🎥 Codebasics Hindi channel: https://www.youtube.com/channel/UCTmFBhuhMibVoSfYom1uXEg #️⃣ Social Media #️⃣ 🔗 Discord: https://discord.gg/r42Kbuk 📸 Instagram: https://www.instagram.com/codebasicshub/ 🔊 Facebook: https://www.facebook.com/codebasicshub 📱 Twitter: https://twitter.com/codebasicshub 📝 Linkedin (Personal): https://www.linkedin.com/in/dhavalsays/ 📝 Linkedin (Codebasics): https://www.linkedin.com/company/codebasics/ ❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.

detail
{'title': 'How Kaggle Helped Him Become ML Engineer With Mechanical Engineer Degree', 'heatmap': [{'end': 296.954, 'start': 276.467, 'weight': 0.709}, {'end': 362.732, 'start': 338.685, 'weight': 0.723}, {'end': 501.834, 'start': 484.178, 'weight': 0.966}, {'end': 652.427, 'start': 623.443, 'weight': 0.8}, {'end': 874.739, 'start': 814.671, 'weight': 0.831}, {'end': 942.003, 'start': 884.899, 'weight': 0.75}, {'end': 1051.938, 'start': 982.623, 'weight': 0.79}], 'summary': 'Tanul singh, a mechanical engineer, transitioned to nlp engineering through kaggle, securing his first data science job and building a b2b chatbot at jarvis. his journey highlights the impact of kaggle on career growth, emphasizing practical projects, continuous learning, and opportunities for non-cs degree holders.', 'chapters': [{'end': 116.803, 'segs': [{'end': 29.876, 'src': 'embed', 'start': 0.169, 'weight': 0, 'content': [{'end': 6.195, 'text': 'tanul singh is a b tech in mechanical engineering and after finishing his mechanical engineering studies,', 'start': 0.169, 'duration': 6.026}, {'end': 9.398, 'text': 'he immediately got a job as a data scientist.', 'start': 6.195, 'duration': 3.203}, {'end': 15.384, 'text': "right now he's working as an machine learning engineer solving problems in nlp domain.", 'start': 9.398, 'duration': 5.986}, {'end': 21.97, 'text': 'in this video we are going to describe how he used kegel to get his first data science job.', 'start': 15.384, 'duration': 6.586}, {'end': 24.012, 'text': 'although he was from mechanical engineering background,', 'start': 21.97, 'duration': 2.042}, {'end': 29.876, 'text': 'he did not have any data science or computer science degree and he utilized Kaggle as a platform.', 'start': 24.012, 'duration': 5.864}], 'summary': 'Tanul singh, b.tech in mechanical engineering, landed a data scientist job using kaggle as a platform.', 'duration': 29.707, 'max_score': 0.169, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/t-kiCW0jdLg/pics/t-kiCW0jdLg169.jpg'}, {'end': 81.355, 'src': 'embed', 'start': 46.147, 'weight': 1, 'content': [{'end': 48.849, 'text': 'Well, first of all, I would like to thank you for inviting me here.', 'start': 46.147, 'duration': 2.702}, {'end': 52.972, 'text': 'And I feel very good to be here and speaking.', 'start': 48.969, 'duration': 4.003}, {'end': 61.942, 'text': "And currently I'm working as an NLP engineer at Jarvis and my day-to-day job includes mostly working on cutting edge NLP problems,", 'start': 53.636, 'duration': 8.306}, {'end': 68.166, 'text': 'basically in natural language generation and natural language entity, linking natural language information extraction, et cetera.', 'start': 61.942, 'duration': 6.224}, {'end': 81.355, 'text': 'And one of the very cool systems that we have built is a chatbot for a B2B setup in wherein we provide our services to retailers and all the businesses.', 'start': 69.247, 'duration': 12.108}], 'summary': 'Nlp engineer at jarvis, working on cutting-edge nlp problems, developed chatbot for b2b setup', 'duration': 35.208, 'max_score': 46.147, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/t-kiCW0jdLg/pics/t-kiCW0jdLg46147.jpg'}], 'start': 0.169, 'title': "Tanu's journey: mechanical engineer to nlp engineer", 'summary': "Discusses tanul singh's transition from mechanical engineer to nlp engineer, landing his first data science job through kaggle, and his current work at jarvis including building a chatbot for b2b setup.", 'chapters': [{'end': 116.803, 'start': 0.169, 'title': "Tanu's journey: mechanical engineer to nlp engineer", 'summary': 'Discusses how tanul singh, a mechanical engineering graduate, transitioned to become a machine learning engineer in nlp domain without a data science or computer science degree, utilizing kaggle to land his first data science job, and his current work at jarvis including building a chatbot for b2b setup.', 'duration': 116.634, 'highlights': ['Tanul Singh, a mechanical engineering graduate, transitioned to become a machine learning engineer in NLP domain without a data science or computer science degree, utilizing Kaggle to land his first data science job.', 'He is currently working as an NLP engineer at Jarvis, working on cutting-edge NLP problems, including natural language generation, information extraction, and built a chatbot for a B2B setup that provides services to retailers and businesses, enabling them to share and receive information with ease.']}], 'duration': 116.634, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/t-kiCW0jdLg/pics/t-kiCW0jdLg169.jpg', 'highlights': ['Tanul Singh transitioned from mechanical engineer to NLP engineer without a data science or computer science degree, utilizing Kaggle to land his first data science job.', 'Currently working at Jarvis as an NLP engineer, focusing on cutting-edge NLP problems and building a chatbot for a B2B setup that provides services to retailers and businesses.']}, {'end': 542.557, 'segs': [{'end': 171.667, 'src': 'embed', 'start': 145.688, 'weight': 0, 'content': [{'end': 150.553, 'text': "Let's talk about your story of becoming ML engineer from a mechanical background.", 'start': 145.688, 'duration': 4.865}, {'end': 153.475, 'text': 'Often, people have self-doubts.', 'start': 151.213, 'duration': 2.262}, {'end': 155.718, 'text': "They're like, oh, I'm a mechanical engineer.", 'start': 153.556, 'duration': 2.162}, {'end': 161.226, 'text': 'How can I go into data science? So you probably have gone through that struggle as well.', 'start': 155.758, 'duration': 5.468}, {'end': 162.726, 'text': "So let's talk about your journey.", 'start': 161.246, 'duration': 1.48}, {'end': 171.667, 'text': 'Yeah So as you mentioned, like the self-doubt is, uh, really kind of always can bring you down and that is something you have to get rid of.', 'start': 163.186, 'duration': 8.481}], 'summary': 'Transitioning from mechanical engineer to ml engineer, overcoming self-doubts.', 'duration': 25.979, 'max_score': 145.688, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/t-kiCW0jdLg/pics/t-kiCW0jdLg145688.jpg'}, {'end': 297.715, 'src': 'heatmap', 'start': 260.036, 'weight': 1, 'content': [{'end': 261.297, 'text': "You, you won't do good in it.", 'start': 260.036, 'duration': 1.261}, {'end': 269.542, 'text': 'But the major break in my journey was, uh, so I was, uh, in on telegram.', 'start': 262.758, 'duration': 6.784}, {'end': 276.467, 'text': 'I had very good community groups, which I joined, and I was building a relationship and I found out about Kaggle days,', 'start': 269.602, 'duration': 6.865}, {'end': 279.829, 'text': 'community and it that community was holding a meetup in Delhi.', 'start': 276.467, 'duration': 3.362}, {'end': 288.475, 'text': 'And I was in Kanpur and that meetup was free and Abhishek Thakur, who is a Kaggle Forex Grandmaster was visiting there in person.', 'start': 280.928, 'duration': 7.547}, {'end': 294.28, 'text': 'I thought what great opportunity could I get from here? So I just went to that meetup.', 'start': 288.935, 'duration': 5.345}, {'end': 296.954, 'text': 'And I had an interaction with Abhishek.', 'start': 295.134, 'duration': 1.82}, {'end': 297.715, 'text': 'I was overwhelmed.', 'start': 296.974, 'duration': 0.741}], 'summary': 'Discovered kaggle meetup in delhi, met kaggle grandmaster abhishek thakur, and felt overwhelmed by the experience.', 'duration': 37.679, 'max_score': 260.036, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/t-kiCW0jdLg/pics/t-kiCW0jdLg260036.jpg'}, {'end': 362.732, 'src': 'heatmap', 'start': 338.685, 'weight': 0.723, 'content': [{'end': 346.668, 'text': 'So Kaggle has these three months kind of a timeframe for a competition, which is, for me, I think a very long time to learn anything.', 'start': 338.685, 'duration': 7.983}, {'end': 354.447, 'text': 'So my strategy at that time was to, just to get into a competition, write a notebook that just shows the data,', 'start': 347.563, 'duration': 6.884}, {'end': 359.23, 'text': 'do EDA and then learn from everyone else who is, you know, participating in the competition.', 'start': 354.447, 'duration': 4.783}, {'end': 362.732, 'text': 'So, and that was like the main changing point.', 'start': 359.83, 'duration': 2.902}], 'summary': 'Kaggle competitions have a 3-month timeframe for learning, strategy involved writing a notebook, doing eda, and learning from others.', 'duration': 24.047, 'max_score': 338.685, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/t-kiCW0jdLg/pics/t-kiCW0jdLg338685.jpg'}, {'end': 434.749, 'src': 'embed', 'start': 407.293, 'weight': 2, 'content': [{'end': 410.255, 'text': 'So it was all caggle, caggle, caggle before even joining the job.', 'start': 407.293, 'duration': 2.962}, {'end': 413.397, 'text': 'And I landed my first data science job before even joining hero.', 'start': 410.355, 'duration': 3.042}, {'end': 415.458, 'text': 'So that was a big, you know.', 'start': 413.457, 'duration': 2.001}, {'end': 416.538, 'text': 'Oh, nice.', 'start': 416.058, 'duration': 0.48}, {'end': 422.142, 'text': 'So you, you are in college mechanical engineering last year and pandemic, you are home.', 'start': 416.618, 'duration': 5.524}, {'end': 427.725, 'text': 'You are just competition doing competitions on Kaggle and you directly get a job.', 'start': 422.522, 'duration': 5.203}, {'end': 434.749, 'text': "Now that's so inspiring because many times mechanical engineers, especially they tell me that we don't have computer science degree.", 'start': 427.785, 'duration': 6.964}], 'summary': 'Mechanical engineer lands data science job through kaggle competitions.', 'duration': 27.456, 'max_score': 407.293, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/t-kiCW0jdLg/pics/t-kiCW0jdLg407293.jpg'}, {'end': 475.773, 'src': 'embed', 'start': 446.397, 'weight': 3, 'content': [{'end': 451.902, 'text': 'Based on my Kaggle performance and few of the personal projects that I had built at that time.', 'start': 446.397, 'duration': 5.505}, {'end': 456.086, 'text': 'So basically what I thought in my mind is I am growing.', 'start': 452.903, 'duration': 3.183}, {'end': 460.184, 'text': "And I'm learning by each day and I am having a lot of time.", 'start': 456.822, 'duration': 3.362}, {'end': 463.686, 'text': 'So what I can do is just, instead of just doing Kaggle competitions,', 'start': 460.264, 'duration': 3.422}, {'end': 469.329, 'text': 'I can also start building some cool projects along the side so that I can showcase them.', 'start': 463.686, 'duration': 5.643}, {'end': 475.773, 'text': 'So I built three very good projects along with my Kaggle and that really helped me to, you know, get my first job.', 'start': 469.81, 'duration': 5.963}], 'summary': 'Building 3 projects alongside kaggle helped secure first job', 'duration': 29.376, 'max_score': 446.397, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/t-kiCW0jdLg/pics/t-kiCW0jdLg446397.jpg'}, {'end': 512.78, 'src': 'heatmap', 'start': 484.178, 'weight': 0.966, 'content': [{'end': 490.54, 'text': "uh, so i had learned about t5 transformer, again watching from abhishek's channel itself,", 'start': 484.178, 'duration': 6.362}, {'end': 496.622, 'text': 'and i knew that it works on text-to-text data and i i always had this idea.', 'start': 490.54, 'duration': 6.082}, {'end': 498.043, 'text': 'can i have a model?', 'start': 496.622, 'duration': 1.421}, {'end': 501.834, 'text': 'uh, that can joke with me in Hindi.', 'start': 498.043, 'duration': 3.791}, {'end': 512.78, 'text': "So I started with that idea that what I'll train, I'll get a model which given a starting few words, start complete it to get a joke for me in Hindi.", 'start': 502.294, 'duration': 10.486}], 'summary': "The speaker learned about t5 transformer from abhishek's channel and wanted to train a model to generate jokes in hindi.", 'duration': 28.602, 'max_score': 484.178, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/t-kiCW0jdLg/pics/t-kiCW0jdLg484178.jpg'}], 'start': 117.984, 'title': 'Transitioning to data science', 'summary': "Discusses a mechanical engineer's transition to data science, highlighting the impact of kaggle on career growth, leading to a data science job before graduation, emphasizing practical projects, continuous learning, and opportunities for non-cs degree holders.", 'chapters': [{'end': 302.155, 'start': 117.984, 'title': 'From mechanical engineer to ml engineer journey', 'summary': 'Discusses the journey of transitioning from mechanical engineering to data science, overcoming self-doubts, and getting involved in the data science community, leading to a breakthrough moment at a kaggle meetup with a kaggle grandmaster.', 'duration': 184.171, 'highlights': ['Transitioning to data science from mechanical engineering The speaker shares their journey of transitioning from mechanical engineering to data science, expressing initial self-doubts and struggles before finding their path into the data science field.', 'Involvement in the data science community and breakthrough moment at a Kaggle meetup The speaker discusses their involvement in the data science community, particularly their experience at a Kaggle meetup where they interacted with a Kaggle Grandmaster, which marked a significant breakthrough in their journey.', 'Initial struggles and self-doubts in pursuing data science The speaker recounts their initial struggles and self-doubts in pursuing data science, including fear of not being good enough due to their background in mechanical engineering.', 'Exploring data science despite initial setbacks The speaker shares their persistence in exploring data science despite initial setbacks, including starting to learn about data science in their second year, facing self-doubt, and eventually resuming their journey in December 2019.']}, {'end': 542.557, 'start': 302.856, 'title': "Kaggle's impact on career growth", 'summary': "Highlights the transformative impact of kaggle on a mechanical engineer's career, leading to a data science job before graduation, emphasizing the importance of practical projects and continuous learning, as well as the potential for non-cs degree holders to enter the field.", 'duration': 239.701, 'highlights': ["The speaker's journey from doing Kaggle competitions to landing a data science job before even joining the workforce, showcasing the transformative impact of Kaggle on career growth and skill development.", 'Emphasizing the importance of practical projects alongside Kaggle competitions, leading to job opportunities by showcasing skills through tangible projects.', "The speaker's utilization of free time during the pandemic to focus on Kaggle competitions and building practical projects, highlighting the potential for skill development and career advancement during challenging times.", "The speaker's initiative to build practical projects alongside Kaggle competitions, showcasing creativity and problem-solving skills, leading to job opportunities based on project showcases and Kaggle performance."]}], 'duration': 424.573, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/t-kiCW0jdLg/pics/t-kiCW0jdLg117984.jpg', 'highlights': ['Transitioning to data science from mechanical engineering, expressing initial self-doubts and struggles before finding their path into the data science field.', 'Involvement in the data science community, particularly their experience at a Kaggle meetup where they interacted with a Kaggle Grandmaster, marking a significant breakthrough in their journey.', "The speaker's journey from doing Kaggle competitions to landing a data science job before even joining the workforce, showcasing the transformative impact of Kaggle on career growth and skill development.", 'Emphasizing the importance of practical projects alongside Kaggle competitions, leading to job opportunities by showcasing skills through tangible projects.']}, {'end': 821.718, 'segs': [{'end': 585.096, 'src': 'embed', 'start': 544.659, 'weight': 0, 'content': [{'end': 552.443, 'text': 'Nice, In your mechanical engineer to ML engineer journey, did you face any hurdles, any problems,', 'start': 544.659, 'duration': 7.784}, {'end': 555.007, 'text': 'especially because of your mechanical engineering background?', 'start': 552.443, 'duration': 2.564}, {'end': 559.753, 'text': 'Like when you go to interview, does interviewer give you hard time?', 'start': 555.307, 'duration': 4.446}, {'end': 562.436, 'text': "And do they ask you like, OK, you're from mechanical.", 'start': 559.853, 'duration': 2.583}, {'end': 570.71, 'text': 'And how are you going to do this job? Have you faced those kind of situations? So that is a very, very good question.', 'start': 563.547, 'duration': 7.163}, {'end': 575.732, 'text': "So first I'll just say the hurdles and then I'll talk about the interview part.", 'start': 571.33, 'duration': 4.402}, {'end': 585.096, 'text': 'So coming to the hurdles, the main hurdle was for any mechanical engineer or for any person coming from a non-CS background is the coding.', 'start': 576.432, 'duration': 8.664}], 'summary': 'Transitioning from mechanical to ml faced coding hurdles, challenges in interviews.', 'duration': 40.437, 'max_score': 544.659, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/t-kiCW0jdLg/pics/t-kiCW0jdLg544659.jpg'}, {'end': 654.168, 'src': 'heatmap', 'start': 623.443, 'weight': 3, 'content': [{'end': 628.085, 'text': 'And after two months, I was able to implement almost anything I think I thought of.', 'start': 623.443, 'duration': 4.642}, {'end': 633.609, 'text': 'So that that my thing changed, like my Python skill set was really good at that time.', 'start': 628.486, 'duration': 5.123}, {'end': 645.48, 'text': 'And coming to the interviews, so when given my interviews, so within three months of me starting Kaggle, I had won two silver medals.', 'start': 634.625, 'duration': 10.855}, {'end': 652.427, 'text': 'So whenever I got into an interview and they asked me you are from a mechanical background, I used to tell them this story,', 'start': 646.563, 'duration': 5.864}, {'end': 654.168, 'text': 'that I started this at this time.', 'start': 652.427, 'duration': 1.741}], 'summary': 'Implemented various projects, improved python skills, won two silver medals in kaggle within three months.', 'duration': 44.132, 'max_score': 623.443, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/t-kiCW0jdLg/pics/t-kiCW0jdLg623443.jpg'}, {'end': 755.492, 'src': 'embed', 'start': 727, 'weight': 2, 'content': [{'end': 730.082, 'text': "If you're from computer science student, that's what you are expected to do.", 'start': 727, 'duration': 3.082}, {'end': 738.709, 'text': "But if you're a mechanical engineer, you are going out of your way out of your domain and learning these additional things on your own.", 'start': 730.623, 'duration': 8.086}, {'end': 746.015, 'text': 'So it shows a lot of self drive and that puts a very, very positive impression on interviewers mind.', 'start': 738.729, 'duration': 7.286}, {'end': 747.656, 'text': 'You agree with that?', 'start': 747.055, 'duration': 0.601}, {'end': 750.348, 'text': 'yeah, I kind of agree with that.', 'start': 748.587, 'duration': 1.761}, {'end': 751.289, 'text': 'that may be the case.', 'start': 750.348, 'duration': 0.941}, {'end': 755.492, 'text': 'that has helped me, you know, in the start of my journey.', 'start': 751.289, 'duration': 4.203}], 'summary': 'Cross-disciplinary skills show self-drive, impressing interviewers. beneficial at the start of the journey.', 'duration': 28.492, 'max_score': 727, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/t-kiCW0jdLg/pics/t-kiCW0jdLg727000.jpg'}], 'start': 544.659, 'title': 'Overcoming career transition challenges', 'summary': 'Discusses challenges faced by individuals transitioning from mechanical engineering to ml engineering and overcoming non-cs background in data science. it emphasizes coding hurdles, interview experiences, learning python, kaggle success, and impact of self-drive and determination on interviewers.', 'chapters': [{'end': 585.096, 'start': 544.659, 'title': 'From mechanical engineer to ml engineer', 'summary': 'Discusses the challenges faced by individuals transitioning from mechanical engineering to ml engineering, particularly related to coding hurdles and interview experiences.', 'duration': 40.437, 'highlights': ['The main hurdle for individuals transitioning from non-CS backgrounds like mechanical engineering is coding.', 'Interview experiences can be challenging, with interviewers questioning how individuals from mechanical engineering backgrounds can perform in ML engineering roles.']}, {'end': 821.718, 'start': 585.676, 'title': 'Overcoming non-cs background in data science', 'summary': 'Highlights the challenges faced by a non-cs background individual in data science, how learning python and achieving success in kaggle helped in interviews, and the positive impact of self-drive and determination on interviewers.', 'duration': 236.042, 'highlights': ['Achieving two silver medals on Kaggle within three months helped in interviews, showcasing the impact of learning Python and achieving success in data science. The interviewee won two silver medals on Kaggle within three months of starting, which impressed interviewers and showcased the impact of learning Python and achieving success in data science.', 'The positive impression of self-drive and determination on interviewers, especially for non-CS background individuals, and the importance of mitigating self-doubt to secure interview opportunities. The interviewee emphasized the positive impression of self-drive and determination on interviewers, especially for non-CS background individuals, and stressed the importance of mitigating self-doubt to secure interview opportunities.', 'The initial struggle with materializing ideas into code due to a lack of Python skills and the transformation after strengthening Python skills, enabling the implementation of ideas with ease. The interviewee initially struggled to materialize ideas into code due to a lack of Python skills, but after strengthening Python skills, they were able to implement almost any idea they thought of.']}], 'duration': 277.059, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/t-kiCW0jdLg/pics/t-kiCW0jdLg544659.jpg', 'highlights': ['Interviewers question how individuals from mechanical engineering backgrounds can perform in ML engineering roles.', 'The main hurdle for individuals transitioning from non-CS backgrounds like mechanical engineering is coding.', 'The positive impression of self-drive and determination on interviewers, especially for non-CS background individuals.', 'Achieving two silver medals on Kaggle within three months helped in interviews, showcasing the impact of learning Python and achieving success in data science.', 'The initial struggle with materializing ideas into code due to a lack of Python skills and the transformation after strengthening Python skills.']}, {'end': 1029.039, 'segs': [{'end': 869.015, 'src': 'embed', 'start': 843.747, 'weight': 0, 'content': [{'end': 850.629, 'text': "It won't be that efficient as that of a coder, but I will be able to implement it with brute force.", 'start': 843.747, 'duration': 6.882}, {'end': 853.75, 'text': 'And then I can Google to improve its efficiency.', 'start': 850.749, 'duration': 3.001}, {'end': 858.732, 'text': 'So at least you should have that level of confidence in Python.', 'start': 854.35, 'duration': 4.382}, {'end': 860.152, 'text': 'That would be the very first step.', 'start': 858.752, 'duration': 1.4}, {'end': 866.574, 'text': 'So at least gain an intermediate level of Python experience, building some Python projects in the start.', 'start': 861.012, 'duration': 5.562}, {'end': 869.015, 'text': 'That is also fine if you just do Python projects.', 'start': 866.634, 'duration': 2.381}], 'summary': 'Gain intermediate level python experience by building projects to code efficiently.', 'duration': 25.268, 'max_score': 843.747, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/t-kiCW0jdLg/pics/t-kiCW0jdLg843747.jpg'}, {'end': 942.003, 'src': 'heatmap', 'start': 884.899, 'weight': 0.75, 'content': [{'end': 887.2, 'text': 'Uh, they will get you started with data science.', 'start': 884.899, 'duration': 2.301}, {'end': 892.622, 'text': 'And from there, you know, you, uh, you should not be afraid to join Kaggle.', 'start': 887.92, 'duration': 4.702}, {'end': 902.206, 'text': 'So, uh, what I always suggest everyone is you can, people ask me, where do I start Kaggle? So I always suggest go for the notebooks.', 'start': 893.322, 'duration': 8.884}, {'end': 913.353, 'text': 'Uh, go, go to the live competition, see the data, start a new notebook and do anything you can with the data according to your current skill set.', 'start': 903.186, 'duration': 10.167}, {'end': 919.476, 'text': "let's say, you have skill set a at that time and you only know how to plot images.", 'start': 913.353, 'duration': 6.123}, {'end': 921.857, 'text': 'just do that and do nothing else.', 'start': 919.476, 'duration': 2.381}, {'end': 924.077, 'text': 'and just do that and publish your notebook.', 'start': 921.857, 'duration': 2.22}, {'end': 932.6, 'text': 'then go and read others notebook, take their code, change few things, play with it and add it in your notebook.', 'start': 924.077, 'duration': 8.523}, {'end': 933.301, 'text': 'do that again.', 'start': 932.6, 'duration': 0.701}, {'end': 940.603, 'text': 'repeat the process until you start, you know, learning new things, and the idea should be that i need to learn new things.', 'start': 933.301, 'duration': 7.302}, {'end': 942.003, 'text': "that's why i am doing this.", 'start': 940.603, 'duration': 1.4}], 'summary': 'Start with data science, join kaggle, learn by doing and iterating.', 'duration': 57.104, 'max_score': 884.899, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/t-kiCW0jdLg/pics/t-kiCW0jdLg884899.jpg'}, {'end': 921.857, 'src': 'embed', 'start': 893.322, 'weight': 1, 'content': [{'end': 902.206, 'text': 'So, uh, what I always suggest everyone is you can, people ask me, where do I start Kaggle? So I always suggest go for the notebooks.', 'start': 893.322, 'duration': 8.884}, {'end': 913.353, 'text': 'Uh, go, go to the live competition, see the data, start a new notebook and do anything you can with the data according to your current skill set.', 'start': 903.186, 'duration': 10.167}, {'end': 919.476, 'text': "let's say, you have skill set a at that time and you only know how to plot images.", 'start': 913.353, 'duration': 6.123}, {'end': 921.857, 'text': 'just do that and do nothing else.', 'start': 919.476, 'duration': 2.381}], 'summary': 'Start with kaggle notebooks and live competitions to apply your current skill set.', 'duration': 28.535, 'max_score': 893.322, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/t-kiCW0jdLg/pics/t-kiCW0jdLg893322.jpg'}, {'end': 1029.039, 'src': 'embed', 'start': 1004.678, 'weight': 2, 'content': [{'end': 1012.183, 'text': 'you are able to understand the winning solution, that also takes you much far ahead than you were three months before, right.', 'start': 1004.678, 'duration': 7.505}, {'end': 1014.244, 'text': 'so that is something a really important.', 'start': 1012.183, 'duration': 2.061}, {'end': 1022.492, 'text': "third step that you go into the competition with a very sincere mind in order to learn, and not Just because I'm going into the competition.", 'start': 1014.244, 'duration': 8.248}, {'end': 1024.194, 'text': "I need a medal and then I'll get a job.", 'start': 1022.492, 'duration': 1.702}, {'end': 1026.516, 'text': 'So these are some things.', 'start': 1024.895, 'duration': 1.621}, {'end': 1029.039, 'text': 'Yeah Very good.', 'start': 1026.616, 'duration': 2.423}], 'summary': 'Understanding the winning solution can advance you further, competing sincerely to learn is crucial.', 'duration': 24.361, 'max_score': 1004.678, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/t-kiCW0jdLg/pics/t-kiCW0jdLg1004678.jpg'}], 'start': 821.718, 'title': 'Python and kaggle for data science', 'summary': 'Emphasizes mastering intermediate level python skills and engaging in kaggle competitions to gain practical experience and foster continuous learning.', 'chapters': [{'end': 1029.039, 'start': 821.718, 'title': 'Mastering python and kaggle for data science success', 'summary': 'Emphasizes mastering intermediate level python skills and engaging in kaggle competitions, starting with creating and sharing notebooks, to gain practical experience and learn from others, ultimately fostering a sincere approach to competing and continuous learning.', 'duration': 207.321, 'highlights': ['Master intermediate level Python skills and build Python projects to gain confidence and practical experience. The speaker emphasizes the importance of gaining an intermediate level of Python experience and building Python projects to demonstrate practical skills.', 'Engage in Kaggle courses and competitions, starting with creating and sharing notebooks to gain practical experience and learn from others. The speaker recommends joining Kaggle, participating in courses and competitions, and starting with creating and sharing notebooks to gain practical experience and learn from others.', 'Approach competitions with a sincere mindset to learn and improve, focusing on understanding winning solutions and continuously learning. The speaker stresses the importance of approaching competitions with a sincere mindset to learn and improve, focusing on understanding winning solutions and continuously learning.']}], 'duration': 207.321, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/t-kiCW0jdLg/pics/t-kiCW0jdLg821718.jpg', 'highlights': ['Master intermediate level Python skills and build Python projects to gain confidence and practical experience.', 'Engage in Kaggle courses and competitions, starting with creating and sharing notebooks to gain practical experience and learn from others.', 'Approach competitions with a sincere mindset to learn and improve, focusing on understanding winning solutions and continuously learning.']}, {'end': 1382.791, 'segs': [{'end': 1126.422, 'src': 'embed', 'start': 1051.938, 'weight': 0, 'content': [{'end': 1061.663, 'text': 'so you know kegel is is a life-changing opportunity for anyone coming from a non-cs background who wants to showcase themselves,', 'start': 1051.938, 'duration': 9.725}, {'end': 1064.644, 'text': 'because as a fresher you do not have a lot of stuff to showcase, right?', 'start': 1061.663, 'duration': 2.981}, {'end': 1069.168, 'text': 'You do not get a lot of opportunity to showcase yourself.', 'start': 1065.327, 'duration': 3.841}, {'end': 1072.589, 'text': 'It is either competitive data science or your own projects.', 'start': 1069.248, 'duration': 3.341}, {'end': 1078.29, 'text': 'But your own projects also do not get traction from time to time.', 'start': 1073.629, 'duration': 4.661}, {'end': 1081.731, 'text': 'Your project would be good, but there will be less people to see it.', 'start': 1078.33, 'duration': 3.401}, {'end': 1084.432, 'text': 'So, in order to showcase yourself.', 'start': 1082.551, 'duration': 1.881}, {'end': 1093.931, 'text': "Kaggle is a very, very good platform where you meet And you participate with the world's best, and they kind of share things.", 'start': 1084.432, 'duration': 9.499}, {'end': 1095.971, 'text': "So you're just blown of how they think.", 'start': 1094.011, 'duration': 1.96}, {'end': 1101.853, 'text': 'And after six months, you try to mimic them and you are in the process and then everything changes.', 'start': 1096.552, 'duration': 5.301}, {'end': 1109.776, 'text': 'Nice And you can, I think, participate in Kaggle competition as a group as well, correct? You can have buddies like group.', 'start': 1103.454, 'duration': 6.322}, {'end': 1111.957, 'text': 'So I have a Discord channel, by the way.', 'start': 1110.236, 'duration': 1.721}, {'end': 1115.058, 'text': 'The description below contains a link.', 'start': 1112.297, 'duration': 2.761}, {'end': 1117.679, 'text': 'It has a partner and group finder channel.', 'start': 1115.598, 'duration': 2.081}, {'end': 1120.96, 'text': 'you can go there and you can find partners.', 'start': 1118.699, 'duration': 2.261}, {'end': 1126.422, 'text': "If you're not finding local partners, find some partners online and participate as a group.", 'start': 1121.02, 'duration': 5.402}], 'summary': "Kaggle provides a platform for non-cs background individuals to showcase themselves through competitive data science and projects, enabling them to connect with the world's best and gain traction for their work.", 'duration': 74.484, 'max_score': 1051.938, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/t-kiCW0jdLg/pics/t-kiCW0jdLg1051938.jpg'}, {'end': 1182.449, 'src': 'embed', 'start': 1149.541, 'weight': 2, 'content': [{'end': 1154.224, 'text': 'Uh so, yeah, like my Kaggle, journey has also been, uh, full of ups and downs.', 'start': 1149.541, 'duration': 4.683}, {'end': 1159.947, 'text': 'Like I did good in the start, then in the middle, it kind of flattened up and I was not doing that good.', 'start': 1154.364, 'duration': 5.583}, {'end': 1166.111, 'text': 'But then I found a few very good people, which whom I like to mention here who are like my inspiration.', 'start': 1160.688, 'duration': 5.423}, {'end': 1172.534, 'text': 'Uh, so one is Shivam Bhaiya who works at Microsoft and he has been my constant motivator.', 'start': 1167.031, 'duration': 5.503}, {'end': 1182.449, 'text': 'And the other is Nischay who, uh, who is, you know, junior to me, but you know, he just He is very, very good at Kaggle.', 'start': 1172.594, 'duration': 9.855}], 'summary': 'Kaggle journey with ups and downs, inspired by shivam and nischay.', 'duration': 32.908, 'max_score': 1149.541, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/t-kiCW0jdLg/pics/t-kiCW0jdLg1149541.jpg'}, {'end': 1240.509, 'src': 'embed', 'start': 1219.074, 'weight': 4, 'content': [{'end': 1228.8, 'text': 'take part in a single competition alone and even show that you are capable of now writing good code and you are publishing that code,', 'start': 1219.074, 'duration': 9.726}, {'end': 1231.062, 'text': 'then you know you are attracting people to yourself.', 'start': 1228.8, 'duration': 2.262}, {'end': 1234.704, 'text': 'that okay, this person was very involved in that competition.', 'start': 1231.062, 'duration': 3.642}, {'end': 1240.509, 'text': 'now he is coming in this competition and he, you know, showcased great code there, he showcased great ideas there.', 'start': 1234.704, 'duration': 5.805}], 'summary': 'Participating in and showcasing good code in a competition can attract people to you.', 'duration': 21.435, 'max_score': 1219.074, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/t-kiCW0jdLg/pics/t-kiCW0jdLg1219074.jpg'}, {'end': 1350.029, 'src': 'embed', 'start': 1317.292, 'weight': 5, 'content': [{'end': 1320.454, 'text': "And also, I've been thinking of writing blogs as well.", 'start': 1317.292, 'duration': 3.162}, {'end': 1324.637, 'text': 'But since doing Kaggle with my office is a hard thing to do.', 'start': 1321.094, 'duration': 3.543}, {'end': 1329.833, 'text': "So that's why I'm not able to do that.", 'start': 1328.112, 'duration': 1.721}, {'end': 1335.358, 'text': 'But as soon as like my only dream right now is to become a Kaggle competitions grandmaster.', 'start': 1329.913, 'duration': 5.445}, {'end': 1341.863, 'text': "And as soon as I become that after that, I'll just start contributing to the community.", 'start': 1335.898, 'duration': 5.965}, {'end': 1350.029, 'text': 'sharing more, sharing more blogs, intermediate blogs, blogs about how things work, blogs about Kaggle and everything.', 'start': 1341.863, 'duration': 8.166}], 'summary': 'Desires to become a kaggle competitions grandmaster and share blogs about kaggle and related topics after achieving the goal.', 'duration': 32.737, 'max_score': 1317.292, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/t-kiCW0jdLg/pics/t-kiCW0jdLg1317292.jpg'}], 'start': 1029.059, 'title': "Kaggle's impact on non-cs backgrounds", 'summary': "Highlights kaggle's significance for non-cs backgrounds, emphasizing its role as a life-changing opportunity to showcase skills, gain exposure, and find mentors, with specific mention of the impact of joining as a group. it also emphasizes the importance of showcasing one's potential in order to attract people, offering tips for starting out in kaggle, participating in competitions alone, and building a community, with a focus on aspiring data scientists from non-computer science backgrounds.", 'chapters': [{'end': 1195.782, 'start': 1029.059, 'title': 'Kaggle: a life-changing platform for non-cs backgrounds', 'summary': 'Highlights the significance of kaggle for individuals from non-cs backgrounds, emphasizing its role as a life-changing opportunity to showcase skills, gain exposure, and find mentors, with specific mention of the impact of joining as a group.', 'duration': 166.723, 'highlights': ["Kaggle provides a life-changing opportunity for individuals with non-CS backgrounds to showcase themselves and gain exposure. Kaggle is crucial for individuals from non-CS backgrounds to showcase themselves, as they may not have many opportunities to display their skills as freshers. It offers a platform to interact with and learn from the world's best, leading to significant personal development.", 'Participating in Kaggle as a group can provide support and help in various aspects of the competition. Participating in Kaggle as a group offers a sense of community and provides assistance in various aspects of the competition, aiding individuals who may feel alone in the process.', 'Mentors and peers play a crucial role in driving motivation and success on Kaggle. The presence of mentors and inspirational peers, such as Shivam Bhaiya and Nischay, has a significant impact on driving motivation and success on Kaggle, providing valuable support and guidance.']}, {'end': 1382.791, 'start': 1195.782, 'title': 'Starting out in kaggle and building a community', 'summary': "Emphasizes the importance of showcasing one's potential in order to attract people, offering tips for starting out in kaggle, participating in competitions alone, and building a community, with a focus on aspiring data scientists from non-computer science backgrounds.", 'duration': 187.009, 'highlights': ['The importance of showcasing potential to attract people, offering tips for starting out in Kaggle, participating in competitions alone, and building a community.', 'Emphasizing the value of participating in competitions alone to attract people and make friends, motivating and helping each other, leading to future collaborations.', "The speaker's aspiration to become a Kaggle competitions grandmaster and contribute to the community through blogs and knowledge sharing.", "The speaker's invitation to connect via LinkedIn and the potential benefits of the shared Kaggle tips for individuals from non-computer science backgrounds aspiring to pursue a successful career in data science."]}], 'duration': 353.732, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/t-kiCW0jdLg/pics/t-kiCW0jdLg1029059.jpg', 'highlights': ['Kaggle provides a life-changing opportunity for individuals with non-CS backgrounds to showcase themselves and gain exposure.', 'Participating in Kaggle as a group can provide support and help in various aspects of the competition.', 'Mentors and peers play a crucial role in driving motivation and success on Kaggle.', 'The importance of showcasing potential to attract people, offering tips for starting out in Kaggle, participating in competitions alone, and building a community.', 'Emphasizing the value of participating in competitions alone to attract people and make friends, motivating and helping each other, leading to future collaborations.', "The speaker's aspiration to become a Kaggle competitions grandmaster and contribute to the community through blogs and knowledge sharing."]}], 'highlights': ['Tanul Singh transitioned from mechanical engineer to NLP engineer through Kaggle, securing his first data science job.', 'Currently working at Jarvis as an NLP engineer, focusing on cutting-edge NLP problems and building a chatbot for a B2B setup.', 'Emphasizing practical projects alongside Kaggle competitions, leading to job opportunities by showcasing skills through tangible projects.', "The speaker's journey from doing Kaggle competitions to landing a data science job before even joining the workforce, showcasing the transformative impact of Kaggle on career growth and skill development.", 'The positive impression of self-drive and determination on interviewers, especially for non-CS background individuals.', 'Achieving two silver medals on Kaggle within three months helped in interviews, showcasing the impact of learning Python and achieving success in data science.', 'Master intermediate level Python skills and build Python projects to gain confidence and practical experience.', 'Engage in Kaggle courses and competitions, starting with creating and sharing notebooks to gain practical experience and learn from others.', 'Approach competitions with a sincere mindset to learn and improve, focusing on understanding winning solutions and continuously learning.', 'Kaggle provides a life-changing opportunity for individuals with non-CS backgrounds to showcase themselves and gain exposure.', 'Participating in Kaggle as a group can provide support and help in various aspects of the competition.', 'Mentors and peers play a crucial role in driving motivation and success on Kaggle.', 'The importance of showcasing potential to attract people, offering tips for starting out in Kaggle, participating in competitions alone, and building a community.', 'Emphasizing the value of participating in competitions alone to attract people and make friends, motivating and helping each other, leading to future collaborations.', "The speaker's aspiration to become a Kaggle competitions grandmaster and contribute to the community through blogs and knowledge sharing."]}