Final Project - In Vehicle Coupon Recommendation

A Machine Learning Workshop for HackCU III

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

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.

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.

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.

Determining the churn rate and factors for employee turnover

This repository contains the final report drafted on the replication of the Caruana and Niculescu-Mizil paper on the comparison of supervised learning algorithms. Here, I compare Logistic Regression, Random Forest, and Artificial Neural Networks over 4 different datasets measured over 3 different metrics. This project was done for Cogs 118A. The…

This repository contains all the code developed with the aim of training a machine learning model useful for recognizing whether a fingerprint image is a spoofed or original one.

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