trying to predict strength of future nba prospects based on past players
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Updated
Apr 22, 2017 - Python
trying to predict strength of future nba prospects based on past players
NTHU EE6550 Machine Learning slides and my code solutions for spring semester 2017.
Using a support vector machine to classify emails
Predicting whether or not a customer will be approved for a credit card based on 15 predictor variables.
Using a credit-risk data-set to predict whether a person would repay a loan based on his anonymous account features.
PCA, Clustering, and SVC/SVM for items on the McDonald's Menu.
NLP and Sentiment Analysis
Fitting a support vector classifier to the Kepler Exoplanet Search data set.
Classification to predict whether a bank currency note is authentic or not based on variance of the image wavelet transformed image, skewness, entropy, and curtosis of the image using Machine Learning classifiers.
Predictions for the English Premier League season
Data Science - Case Study with Classification Application in Python Using scikit-learn
Identify fraudulent credit card transactions.
Face Recognition with SVM, starting from basics
Titanic Survivor Analysis and Prediction
Training and Evaluation of two multi-label models. Applied on stack overflow question title to predict a set of tags
Interactive ML web application will allow users to choose classification algorithm, let them interactively set hyper-parameter values, and Input Image.
Sentiment and category classification of reviews using Machine Learning
Build and evaluate various machine learning classification models using Python.
A web app for visualizing Binary Classification Results using Streamlit module in Python deployed on Heroku.
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