kinda crazy how we come to youtube, an entertainment platform mainly, to learn more than at a full fledged internationally renowned university. Damn this world is going mad! Keep up the good work
A big smiling thanks to you krish for making such great effort and uploading videos for us, it really helps a lot!! I would like to learn reinforcement learning, pls throw some light on it. Again thanks a lot!!!
what separates a good machine learning engineer from an average one? And what should i focus on to become one? Learning all the theory behind the algorithms? Finding the BEST algorithms to use for all different problems as quick as possible? WHAT TO FOCUS ON?!! Everyone can spend time and effort but time and effort on which part is the most important?
Krishna SIR This is a lot of effort you are making in presenting the ML road Map Clearly...and...Really Value added topic .Convey my sincere thanks to you....
Thanks, sir for this amazing roadmap on Machine Learning. Yes, we all would love to have a dedicated roadmap & playlist for Reinforcement Learning as well.
Aahhh !!! finally wait is over ...was waiting for this since long time !!! Please also tell the map like what to do next step after completing all your videos of ML Playlist. Thankyou in advance 🙂 God Bless you!! 😊😊
Thanks for the video, please start new playlist of Reinforcement Learning.... Also please resume interview preparation one algorithm per video format.... This is my request to you....
Thank You so much sir for this amazing roadmap. It would be really helpful if you create a dedicated *Reinforcement Learning* playlist. It would be really beneficial for us.
Krish Sir , I have been following and learning from your videos from the past one year and your content is really good and easily understandable. Thanks for all your contribution towards teaching and guiding data science enthusiasts like us. Krish Sir would it be possible for you to create videos on Reinforcement Learning? I know it works on the basis of reward-punishment but I really want to learn from your videos.
Learning this won't be enough to get into data science these days as companies are looking for nlp and deep learning over basic ML algorithms Thoughts?
yes sir please cover the path for reinforcement learning also deep reinforcement learning.. thanks for creating these "path to .." videos sir🙌 its helping us a lot in organizing the learning more efficiently.
Krish Sir, I am Really thrilled while watching this ML playlist, its very intensive almost all the topics you have covered during deliberation, I am exactly looking for this kind of playlist. Your videos will certainly help me. Thanks a lot. Ankur
Hi Krish, great video. I just have a follow up question/query: I want to become a data scientist working in the finance domain (I am not sure which division specifically for now, but I am sure its in the finance space). I know the basics of python for data science (pandas, numpy, etc) and I have done a few projects on kaggle. However, I am going to soon pursue a masters in data science and I am worried about the math. How much math is really required for data science? Intuitively, I understand why statistics plays a big role, but what about linear algebra and calculus? Like, how much of those do you need and what specific topics / learning objectives should you know before you can confidently say they are sufficient? (Sufficient to be a data scientist) Also - I understand that data science is a huge field and different parts of data science requires different skillsets, but I am looking to be right in between data analysis and machine learning. I am very much interested in machine learning, but then again, i don't want to go too deep into it considering my calculus isn't as strong. Any advice is much appreciated! Thank you for your time in advance!
Sir, do we have any project in your RU-vid channel with the above following steps start to end. (like:EDA to end to end deployment project). It will help if it is their. Do you have any project sir, I want a link of start to end video in RU-vid sir. Hopefully very thankful for the time you spent for us.
Roadmap is too clear with this video..but I don't know if the videos under the playlist are in order. If not in order, we get confused to select which order to follow in this playlist..if not in order, please do arrange them in order sir..thanks.
hi !! im completely new to ML and got a project from TCS to make a basic recommendation system! (intern - 2nd yr) currently learning your playlist hope this helps ....
If we want to become Data Scientist , Do we really need to learn Reinforcement learning or if we have completed ML , DL and NLP would be enough to get Jobs ?
You need not mug up the codes for algorithms as you can access them whenever you need but you need to know the details & logic of the algorithm as it will be crucial when working on projects in real-time. The same goes for the Libraries as well.
How realistic it is to transition from QA to Data Science after 9 years of QA. How to proceed towards it? I went through a course and it did not go as planned. Please advise on your tutorials to start with.
can I start with Deep Learning directly without following this machine learning course ,considering I have completed up till week 7 of Andrew NG's machine learning course on Coursera
When should i start watching the feature engineering and feature selection videos? Should i first complete them and then start this ML playlist. Or completing this ML playlist is enough ?
Hi Krish Sir, I hope you can help me, I am 2022 Passout CSE student, and want to become Data Scientist but got a job as Implementation Analyst, and thinking to stay in this company atleast for a year and learn python sideways so, can just learning python helps me to get a job in Data Science field? If not, please let me know, exactly how should I proceed
Hi, I am working my thesis in sentence level classification in sentiment analysis. Can u share any information regarding that? I am actually confused choosing the algorithms