meet-soni5720 / mlalgorithms

machine learning algorithms implementation

MLAlgorithms

machine learning algorithms implementation

Implemented:

• Linear regression
• Logistic regression
• Random Forests
• Support vector machine (SVM) with kernels (Linear, Poly, RBF)
• K-Means
• K-nearest neighbors
• Naive bayes
• Principal component analysis (PCA)
• Restricted Boltzmann machine (RBM)
• t-Distributed Stochastic Neighbor Embedding (t-SNE)
• Gradient Boosting trees (also known as GBDT, GBRT, GBM, XGBoost)

Installation

git clone https://github.com/parth222/MLAlgorithms 
cd MLAlgorithms
pip install -r requirement.txt