A symbolic regression model

Implement model regression linear simple and multiple form scratch and compare it the sklearn model

This model is designed to determine the age of a crab based on its other physical characteristics. Using this model, it is possible to determine the age of a crab through its other data!

My Project on Breast Cancer Prediction using a Logistic Regression Model. In this project, I developed a predictive model to assist in breast cancer risk based on various input features. This work has strengthened my understanding of machine learning and data analysis techniques. Feel free to explore the code and insights!

Diabetes Prediction Dataset

Classifying the person as male or female based on hairs, forehead size, nose shape, lips shapes, ect. using ML models

Reduce the time that cars spend on the test bench. Work with a dataset representing different permutations of features in a Mercedes-Benz car to predict the time it takes to pass testing. Optimal algorithms will contribute to faster testing, resulting in lower carbon dioxide emissions without reducing Mercedes-Benz’s standards.

Electronic Music Classification ML

Machine Learning Drug Classification

A text classification library creating an easy way to interface with Sklearn and build models

Reduce the time that cars spend on the test bench. Work with a dataset representing different permutations of features in a Mercedes-Benz car to predict the time it takes to pass testing. Optimal algorithms will contribute to faster testing, resulting in lower carbon dioxide emissions without reducing Mercedes-Benz’s standards.

KMeans Clustering of data using Sklearn library, numpy and Pickle data

This github repository contains practice assignments on Python !

Comparing and evaluating various regression algorithms to accurately predict car prices using data from kaggle.

Create a model that helps choose the region with the highest profit margin.

Model designed to predict premier league games outcomes based on data from the year 1993 - 2023

Utilizing various ensemble machine learning models to accurately predict dermatology based on family history and clinical samples

Lasso and Inductive Conformal Prediction Algorithm