Classification Projects

Using logistic regression on data from UCI talking about Human Activity recognition using smartphones to recognize the status of the body.

Applying SVM classifier to detect the wine color using the wine quality data

Applying logisitc regression to predict credit card approval using data from the UCI Machine Learning Repository

Applying Decision tree classifier to detedct the wine color using the wine qulaity data

Predicting churn value using customer churn data from the telecom industry using Random forest classifier and Extra tree classifier

Using Boosting and Stacking on data from UCI talking about Human Activity recognition using smartphones to recognize the status of the body.

Using a dataset from a mobile blood donation vehicle in Taiwan to predict whether or not a donor will give blood the next time the vehicle comes to campus.

The model is classifying data from digitized images to consider if the tumor inside the brests is benign or malignant which will help doctors recognize those kinds of cancers as accurately as they can to take an appropriate decision.

We load a dataset using Pandas library, and apply the following algorithms, and find the best one for this specific dataset by accuracy evaluation methods.