Placement prediction using machine learning is a technique that analyzes data from past student placements to forecast future job prospects. It uses factors like grades, skills, and experience to estimate the likelihood of a student getting hired. This helps students and institutions better prepare for the job market.

CLASSIFICATION model to predict whether a customer will carry out a bank transaction Uses: Holdalt, Cross validation, Random Forest, Neural Network

Doctor Fee Prediction" is a GitHub repository that scrapes data on doctors from Practo using Beautifulsoup and creates a table with details such as specialties, years of experience, and consultation fees.

An Insurance company that has provided Health Insurance to its customers wants to building a model to predict whether the customers will also be interested in Vehicle Insurance provided by the company.

Purchase Prediction Model for an Advertising Campaign on a Social Network - Own Project Capstone HarvardX 125.9

AQI Predictor V2 use multiple Supervised Machine Learning with Hyper tuning. ML algorithms used Linear Regressor, Lasso Regressor, Decision Tree Regressor, Random Forest Regressor, XGboost Regressor. The Model deployed on web and can predict AQI visit https://aqipredictor.up.railway.app/

IotchulindraRai/Heart-disease-prediction-using-Ml-project with GUI

Investment Analysis and Asset Mgmt, Time Series Analysis & Forecasting, Machine Learning in Finance & Causal Inference Methods

Predictive models on data: fraud detection

Machine Learning algorithms (Classification, Clustering, Regression) on Iris dataset in R

Previsão de Preços de Aluguel no Airbnb usando Machine Learning