Almost daily updates of stuff I learn and make use of.
- Notes and exercises of various books and courses
- Implementations of algorithms, papers
- Deep Reinforcement Learning
- Transformers
- Machine Learning with scikitlearn and PyTorch by Sebastian Raschka
- Simple Linear Regression
- Multivariate Linear Regression
- Logistic Regression
- Perceptron
- Classification and Regression Trees
- Naive Bayes
- K-Nearest Neighbours
- Backpropogation
- Gated Recurrent Unit (GRU)
- Adam Optimizer
- Long Short-term Memory (LSTM)