Progress Log
Just two curious CS majors with an appetite for knowledge. Follow our progress throughout our Machine Learning journey.
Weeks 13 & 14: Moving past NLP into the real world
March 3, 2024
Finishing CS244N & ISLR and beginning our paper-reading & projects adventure.
Weeks 11 & 12: Multi-head attention on ISLR and NLP
February 18, 2024
Keeping up with our daily ISLR readings and continuing our journey through the Stanford CS244N course.
Week 10: Diving into NLP while fighting through Kaggle
February 4, 2024
In this week, we focus our attention on Stanford's NLP course and set forth on our own ambitious projects.
Week 9: XGBoost theory & Advanced house price regression
January 28, 2024
More consistent ISLR reading and exploring gradient boosting methods.
Week 8: Balancing Statistical Learning theory with hands-on Kaggle practice
January 21, 2024
In this week, we began reading the famous "bible" of ML: Introduction to Statistical Learning (with Python). We also practiced recommendation systems, K-means, and regression.
Week 7: Wrapping up theory and shifting gears towards hands-on projects.
January 14, 2024
Finishing up Probability, CNNs & RNNs, and beginning new exciting projects.
Week 6: Getting our feet wet with Computer Vision & NLP
January 7, 2024
Starting to bridge the gap between theory and real-world application.
Week 5: Diving into the world of Neural Nets
December 31, 2023
Transitioning from classical ML to DNNs and ready for an exciting #Deep24
Week 4: Classical ML with a taste of Neural Networks
December 24, 2023
Juggling Probability, Data Analysis, and exploring various ML models.
Week 1-3: Linear Algebra, Calculus, and a sprinkle of Probability
December 17, 2023
Building a solid foundation for ML by learning its language - Mathematics