Decision Tree, Random Forest, Logictic Regression Classifier, used to classify the Popularity of the Spotify Top Hits Music

Machine learning for predicting customer propensity to buy a product from an eshop. Forecast whether a user is likely to make a purchase on an e-commerce platform by analyzing their browsing and interaction patterns.

Urinary Biomarkers for Pancreatic Cancer

NUS Pattern Recognition module graded assignments

This project involves training the Logistic Regression model in the Scikit-Learn Library to classify various features of the iris dataset.

A project that applies machine learning to solve a real-world challenge: what cryptocurrencies are available on the trading market and how they can be grouped using classification.

Mineração de dados e classificação de emoções de tweets

Using Resampling and Ensemble Learning to look at data and predict default rates on loans.

Implementation of logistic regression classifier algorithm for AI534 class

Using different machine learning algorithms to classify the credit card transactions as fraud or valid

A summative coursework for MAS8404 Statistical Learning for Data Science

This repository consists of the dataset and Jupyter notebook for my medium article entitled: "A Practical Guide To Logistic Regression in Python for Beginners"

Data Preprocessing, Loan Status Classification

Employing machine learning algorithms for training, building, and evaluating logistic regression and ensemble classifiers with imbalanced data.

This project repository evaluates the effects of feature reduction on the heart disease dataset using multiple machine learning models

Used Jupyter along with python libraries like numpy, panda, matplotlib, etc to determine if a student is prepared for a test based on the selected features. then using made a user-friendly interface to predict preparedness of the student based on new entries from user during runtime.