Project

1. Beijing PM2.5
   Data source: https://archive.ics.uci.edu/ml/datasets/Beijing+PM2.5+Data
   Type: Multivariate, Time-Series, Regression
   File: https://github.com/minhdvo/project/blob/master/LSTM_Beijing.ipynb
   

2. ETL example
   Extract Transform Load in Python

3. Bee - Deep Learning with Images
   Type: Deep Learning, Classification
   File: https://github.com/minhdvo/project/tree/master/image_classification

4. Ling-Spam
   Type: Text Classification
   File: https://github.com/minhdvo/project/blob/master/Naive-Bayes/Ling-Spam.ipynb

5. Reducing traffic
   Type: Multivariate linear regression, KMeans clustering, dimensionally reduction through PCA File: https://github.com/minhdvo/project/blob/master/Reduce_traffic/notebook-traffic.ipynb

6. ASL Recognition
   Type: Deep Learning, Classification
   File: https://github.com/minhdvo/project/blob/master/ASL%20Recognition/notebook.ipynb

7. Classify Song Genres from Audio Data
   Type: Classification, PCA, logistic regression, decision trees, balance dataset
   File: https://github.com/minhdvo/project/blob/master/Song%20Genres%20from%20Audio%20Data/notebook.ipynb

8. NASA bearing - Machine learnign for Anomaly detection
   Type: PCA, Mahalanobis distance, Autoencoder network (ANN)
   File: https://github.com/minhdvo/project/blob/master/NASA_bearing/anomaly_detection.ipynb