Classification of an imbalanced dataset using SMOTE oversampling technique and ML Algorithms - KNN , XGBoost and Naive Bayes classifier

Students Placement based on some characteristics.

Ordinal Encoding - Label Encoding

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.

Прогнозирование рыночной стоимости автомобилей

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

Encoding: converting categorical data into a numerical data

Feature Engineering

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

Predicting whether the person is a smoker or not.

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

Job-A-thon ML challenge

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

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.

Book price dataset analysis and modeling

Machine Learning Models

House Price Prediction (Kaggle)

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

Machine Learning Project