Comparison of classifier Algorithms on Diabetes Health Indicators Dataset.
Data Mining project to implement Quinlan's C4.5 decision tree algorithm from scratch for medical data mining using the Thyroid allbp dataset
The goal of this project is to develop a machine learning model that can help banks to identify customers who are likely to churn and take appropriate measures to retain them
Programming assignments completed in the PG Program for AI ML
Loan Approval Analysis involves building a machine learning model to predict whether a loan will be approved or not based on various customer features
This is a Machine Learning model developed with "Decision Trees Algorithm" and "Random Forest Algorithm" to predict the turnover of HDFC bank with a given dataset of the previous turnovers and features.
This is our Machine Learning course project. Predict the user based on its cursor movements.
Simple Coding exercises involving concepts of Data Science and ML
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