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!

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

Diabetes Prediction Dataset

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.

Machine Learning Drug Classification

Electronic Music Classification ML

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.

This github repository contains practice assignments on Python !

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

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

Lasso and Inductive Conformal Prediction Algorithm

Bank-Marketing dataset using Mlflow

Today there are no certain methods by using which we can predict whether there will be rainfall today or not. Even the meteorological department’s prediction fails sometimes. In this project, I learn how to build a machine learning model which can predict whether there will be rainfall today or not based on some atmospheric factors.