This repository contains the code for the projects done in Udacity Machine Learning Nanodegree.
1. Python 2/3
2. Numpy [+mkl for Windows]
3. Jupyter Notebook
4. Matplotlib
S.No. | Project Name | About | Status |
---|---|---|---|
1. | Boston Housing Prices | Predict Housing Prices in Boston using Scikit-Learn. | Complete |
2. | Finding Donors for Charity | Predict Donors for Charity using Scikit-Learn. | Complete |
3. | IMDB Sentiment Analysis | Sentiment Analysis for IMDB dataset. | Complete |
4. | Decision-Trees | Titanic Survivor exploration using Decision Trees. | Complete |
5. | Gradient Descent | Gradient Descent Algorithm implementation. | Complete |
6. | Keras-CNN | MLP, CNN and Transfer Learning using Keras. | Complete |
7. | Unsupervised Learning | Density Based Clustering, Gaussian Mixture Model and Hierarchical Clustering. | Complete |
8. | Dog Breed Classifier | Dog Breed Classification app using Transfer Learning. | Completed |
9. | Classification | Intro to Classification, Precision/Recall/F-1 Score/Confusion Matrix. | Completed |