Regression model to predict flight fares

This end-to-end machine learning project is focused on predicting medical insurance price using regression.

Developed a machine learning model using the Cleveland Heart Disease dataset to accurately predict heart disease presence in individuals based on 14 medical attributes. Conducted comprehensive data exploration, visualization, model selection, training, hyperparameter tuning, and evaluation. Identified crucial features to aid diagnosis and treatment

This machine learning project aims to recommend the most suitable crop to grow based on various soil and environmental factors. The model takes into account the following input data:

Regression model to predict IPL scores

This project is a machine learning model for predicting customer churn in the telecom sector. It's designed to identify customers at risk of leaving a telecom service, enabling proactive retention efforts.

Tensorflow Lab

The "Python Machine Learning (2nd edition)" book code repository and info resource

The meetup conducted in IoTgeeks, chennai

Investigated factors that affect the likelihood of charity donations being made based on real census data. Trained and tested several models, and selected the best one based on F-score and efficiency.

Classification of Iris setosa, Iris versicolor and Iris virginica

Exploratory Data Analysis that tries to understand what variables influence the selling price of properties in Buenos Aires City. Languages and Technologies: Python, Pandas, Jupyter Notebook, Google Maps API.

A comparison between a few machine learning classification algorithms

Linear Regression Price Prediction

Vehicle Detection & Tracking - Self Driving Cars

Build a prediction model for nba next season via machine learning

titanic in traditional machine learning