A personal repo to keep the files from the Udemy course (Machine Learning A-Z: Hands-On Python & R In Data Science). Data files (including csvs and image data) have been deleted.
- Association Rule Learning
- Apriori
- Eclat
- Classification
- Logisitic Regression
- K-NN
- SVM
- Kernel SVM
- Naive Bayesmac
- Decision Trees
- Random Forest
- Clustering
- K-Means
- Hierarchical Clustering
- Deep Learning (Keras with TensorFlow backend)
- ANN
- CNN
- Dimensionality Reduction
- PCA
- LDA
- Kernel PCA
- Model Selection & Boosting
- Model Selection
- XGBoost
- Natural Language Processing
- NLP
- Regression
- Simple Linear Regression
- Multiple Linear Regression
- Polynomial Regression
- SVR
- Decision Tree (Regression)
- Random Forest (Regression)
- Reinforcement Learning
- UCB
- Thompson Sampling