Machine Learning algorithms implementation Algorithms:
- KNN
- Naive Bayes
- KMeans
- Decision Tree
- Linear Regression
- Logistic Regression
- Passive Aggressive
- Perceptron
- SVM
- Neural Network (Soon: Batch Normalization, Dropout)
Up next:
- Gaussian Mixture Model
- principal Component Analysis
- Spectral Clustering
- Kernel Density Estimation
- Q-learning
- Sarsa