A Machine Learning Workshop for HackCU III

Final Project - In Vehicle Coupon Recommendation

Why do employees leave? This project first compares the predictive performance of three different models, then uses the best model to help reveal the top contributing factors.

ML classifier using computer vision to classify photos of dogs, frogs, and hogs.

In this repository, we dive into a famous natural language processing problem, where we classify a piece of text as hate speech or not.

Using Logistic Regression to predict whether or not a given star will have an Exoplanet in orbit, using data from HYG3 and the open exoplanet archive.

Implementation of Logistic Regression for getting intuition : how neural network works

Supervised Learning

Machine Learning concepts and models like SMOTE, RandomForest Classifier, Decision Tree, K-NN, and Logistic Regression were first implemented without any ML libraries.

Algorithm Of Convex Optimizer

An investigation of San Francisco Fire Incidents using open data - exploratory analysis and modelling logit and multinomial logit regressions

Embark on a journey of data-driven insights with our diabetes research project. Leveraging Python's pandas, matplotlib, and scikit-learn, we preprocess, visualize, and analyze 330 health features. Employing logistic regression, decision trees, KNN, and SVM, we predict diabetes with precision.

course assignments

Data Analysis and Binary Classification of 4 popular datasets using Logistic Regression and Naive Bayes built from scratch

This GitHub project implements a logistic regression model to analyze and predict credit risk for a lending company. Explore comprehensive training, testing, and evaluation scripts to enhance the accuracy and reliability of risk assessments. Empower your lending decisions with robust, transparent, and customizable machine learning solutions.

Classifying Breast Cancer Tumors

This project helps to make prediction of fake news by developing a machine learning model using the logistic regression algorithm. The project provides a reliable solution to identify and predict the authenticity of news articles, helping users distinguish between real and fake news sources.