00:04 Top 5 recommended ML projects to enhance your portfolio 00:35 Focus on practical projects over unique ideas. 01:03 Build a sentiment analysis model 01:35 Work with text-based datasets effectively 02:07 Build a PDF chat application using rag technique 02:39 Implement a Convolutional Neural Network from scratch 03:10 Building a language model from scratch using library like pytorch 03:40 Introduction to the beginner blueprint
Thanks, after watching this I feel great , coz 4 out of 5 you mentioned are already in my portfolio. I would like to add a few more like time series forecasting or anomaly detection, these are critical too imo
done in 15 hours
really great projects..but somewhere i feel integrating an llm to a modern day usecase is much interesting..any thoughts on this
How many hiring managers you ask about this? Are those projects become common projects for every industry?
Heyy...ik web dev...so should I now start with ML or do I have to have to do data analysis first (tools like power bi and stuff)...can u guide me how I can start?
Would you reccomend doing these in this order?
0:58 Which website is that?
Wanted some personal mentorship, if possible would you like to offer some mentorship?
Nice
@gptLearningHub