This repository contains the source code of my implementations for all the projects in the Udacity's Intro to ML with Nanodegree program
- Linear/Logistic regression
- Decision Trees
- Naive Bayes
- Support vector machine
- Ensemble methods
- Evaluation Metrics
- Training and tuning
- Final Project: Finding donors
- Introduction to neural network
- Deep Learning with Tensorflow
- Final Project: Image Classifier using Tensorflow
- Clustering
- Hierarchical and Density Based Clustering
- GMM and Cluster validation
- Dimensionality Reduction and PCA
- ICA
- Final Project: Identify Customer Segments with-Arvato