The aim of this project to see to do the prediction of the weather using the different types of machine learning model.

A model was built to predict the total insurance claim amount payable by the insurance company using machine learning techniques such as regression in python.

Machine learning project to predict NYC property prices.

In this project, I am applying your frequentist inference and regression modelling skills to different datasets. I applied several machine learning algorithms and try to answer research questions of related problems and also perform data visualization to justify my results.

Predicting house prices can help determine the selling price of a house in a particular region and can help people find the right time to buy a home.

Determining the housing prices of California properties for new sellers and also for buyers to estimate the profitability of the deal.

Project done by me.

Predicting using Decision Tree Regressor and Random Forest Regressor

Third Assignment in 'Practical topics in Machine Learning' course by Dr. Kfir Bar at Bar-Ilan University

Predicting breast cancer survival using machine learning models

Using a dataset provided by Airbnb, analysis and predictions will be made to understand what effects the total price of an Airbnb

Explorando as notas do ENEM de 2018 tal como análise sobre o gabarito x acertos x erros e criando um Machine Learning para adivinhar as notas.

This repository contains a machine learning project aimed at predicting diabetes using various algorithms such as Decision Tree Regression, Support Vector Regression (SVR), and Gaussian Naive Bayes (GaussianNB). Additionally, it provides a web deployment mechanism for the trained models, enabling easy access and utilization.

Machine Learning Examples for Beginners

Applying data mining algorithms to the Stack Overflow Developer Survey dataset using Python

This Repository consist of all the Jupyter Notebooks, Images and .CSV files of the tasks that were assigned during the Cognizant Artificial Intelligence Course hosted on Forage

KOR: 개인 프로젝트. 머신러닝을 통해 테니스 선수 랭킹 예측. ENG: A personal project. Predicts rankings of tennis players using linear regression, decision tree regressor and random forest.

🏡House Price Prediction, Artificial Intelligence course, University of Tehran

Zyfra is engaged in developing efficient solutions for heavy industry. as a Data Scientist we should be able to predict the amount of gold extracted or recovered from gold ore.