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!

Electronic Music Classification ML

Software aimed at real-time prediction of match outcomes for FIRST Tech Challenge using machine learning algorithms.

Diabetes Prediction Dataset

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

The Telco Customer Churn dataset, the project involves collecting, cleaning, and analyzing customer data to uncover key factors influencing churn.

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

The project “HR Analytics – Employee Attrition Prediction” aims to predict employee attrition based on various work-related factors using the IBM HR Analytics Dataset.

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

We used various techniques to train and evaluate a model based on loan risk. We used a dataset of historical lending activity from a peer-to-peer lending services company to build a model that can identify the creditworthiness of borrowers.

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.

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

Consist of ML projects based on Python along with DataSheets

A diverse dataset comprising various car attributes such as mileage, model year, brand, and more, our predictive model employs to accurately forecast the prices of audi car. From data preprocessing to model training and evaluation, our repository provides code implementation, enabling users to understand and replicate our results seamlessly.

Playing with AI in Python. Pandas, nltk & sklearn

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