ricardomokhtari / ML-Models

Various machine learning models & data preprocessing scripts in Python

ML-Models

This repo contains various machine learning models and data preprocessing scripts that can be easily applied to a wide range of datasets.

Models include:

Regression

• Simple
• Multiple
• Polynomial
• SVR
• Decision Tree
• Random Forest

Classification

• Logistic Regression
• K-NN
• SVM
• Naive Bayes
• Decision Tree
• Random Forest

Clustering

• K-Means Clustering
• Hierarchical Clustering

Association Rule Learning

• Apriori

Natural Language Processing

• Bag of words model + Random Forest Regression

Reinforcement Learning

• Upper Confidence Bound
• Thompson Sampling

Deep Learning in Keras

• Artificial Neural Network
• Convolutional Neural Network

Dimensionality Reduction

• PCA
• Linear Discriminant Analysis
• Kernel PCA

Model Selection & Boosting

• k-fold Cross Validation + Grid Search
• XGBoost

Generative Adversarial Networks

• Pix2Pix
• cGAN (PyTorch & TensorFlow)
• vanilla GAN
• DCGAN

I wrote these scripts with the help of the "Machine Learning A-Z" course on Udemy.

Link to Udemy course