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bank-term-deposit-subscription-prediction

Using telemarketing dataset generated from a Portuguese banking institution, I used multiple machine learning methods (Logistic Regression, SVM, and Random Forest) to analyze consumers demographic influence on telemarking calls for selling bank long-term deposits. In this project, I performed and compared three machine learning models: Logistic Regression, Support Vector Machine and Random Forest . Model evaluation process will be conducted by measuring the Area Under the Curve (AUC), to testify the ability of a classifier to capture the degree of variance between classes. The entire project has demonstrated the validation of using machine learning models to anticipate and predict consumers’ loyalty for telemarketing campaign.

college-athletics-database

dota2-chat-text-mining

fifa-2020-analysis

This project completed FIFA 2020 Player data analysis in sklearn version and spark version and solved player net worth prediction, position prediction and alternative player choice problem.

github-slideshow

A robot powered training repository :robot:

house-prices---advanced-regression-techniques

Predict sales prices and practice feature engineering, RFs, and gradient boosting

machinelearning

Use Cluster Analysis and Decision Tree induction algorithm on a weather forecast problem. It is a binary classification problem to predict whether or not a location will get rain the next day.

southeast-airline-survey