This is to demo the machine learning projects that I have worked on. It includes housing price prediction, payment fraud detection, movie recommendation, etc.
- Payment Fraud Detection payment_fraud_detection
- Boston Housing Market Prediction boston housing price prediction
- Finding Donors supervised learning (data exploration, preprocessing data, shuffle and split data, train and test model with SVM, AdaBoost and Naive Bayes)
- Customers Segments unsupervised learning (Data Exploration, Preprocessing, PCA, KMeans, Gaussian Mixture Model clustering algorithm, Feature Recovery)
- Population Segmentation with SageMaker unsupervised learning (Data loading, data analysis, data normalization, data modeling, PCA, data transformation, Data Visualization, K-means)
- Sentiment Analysis with SageMaker RNN (Data preprocessing, Upload Data to S3, Build and Train the Pytorch Model, Deploy the model for testing, Deploy the model for webApp, Use the model for webApp)
It is free, and may be redistributed under the terms specified in the LICENSE file.