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

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

This work presents an AI-driven approach to automating the task prioritization process, addressing new real-world challenges such as reducing subjectivity and adapting to changing requirements.

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.

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

Predictive models on data: fraud detection

Este repositório contém a solução para um desafio de classificação, onde foram treinados e otimizados modelos KNN e Random Forest para predizer se um cômodo está ocupado ou desocupado.

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

Previsão de Preços de Aluguel no Airbnb usando Machine Learning

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

Comparative analysis of 5 ML models for Loan Approval Prediction, assessing the impact of preprocessing and RFE feature selection.

Projeto básico/simplista de como criar sequências de AMPs com características fisico-químicas específicas.