Feature Engineering with Python

Data preprocessing is a data mining technique that is used to transform the raw data into a useful and efficient format.

A machine learning model to accurately predict house prices based on various features such as quality, size, and location, utilizing Random Forest and XGBoost algorithms (Python)

Machine Learning Project

Data Cleaning and Data Visualization with python libraries like numpy , pandas, sklean,seaborn, matplotlib-pyplot

House Price Prediction (Kaggle)

Machine Learning Models

Book price dataset analysis and modeling

Focus on selecting datasets suitable for a machine learning experiment, with an emphasis on data cleaning, encoding, and transformation steps necessary to prepare the data.

Feature engineering or feature extraction or feature discovery is the process of extracting features from raw data.

Job-A-thon ML challenge

Showcasing data science skills for a dataset provided by State Farm for a coding interview.

Predicting whether the person is a smoker or not.

This repository is totally focused on Feature Engineering Concepts in detail, I hope you'll find it helpful.

Feature Engineering

Encoding: converting categorical data into a numerical data

[Modeling] Project in 2022 - Simple Model of important factors in the incidence of heart disease and prediction model

Прогнозирование рыночной стоимости автомобилей

Why do employees leave? This project first compares the predictive performance of three different models, then uses the best model to help reveal the top contributing factors.