Encoding: converting categorical data into a numerical data
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Updated
Mar 8, 2023 - Jupyter Notebook
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.
Data Cleaning and Data Visualization with python libraries like numpy , pandas, sklean,seaborn, matplotlib-pyplot
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.
[Modeling] Project in 2022 - Simple Model of important factors in the incidence of heart disease and prediction model
Book price dataset analysis and modeling
Прогнозирование рыночной стоимости автомобилей
Job-A-thon ML challenge
Feature engineering or feature extraction or feature discovery is the process of extracting features from raw data.
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.
House Price Prediction (Kaggle)
Ordinal Encoding - Label Encoding
Showcasing data science skills for a dataset provided by State Farm for a coding interview.
Predicting whether the person is a smoker or not.
Machine Learning Models
Classification of an imbalanced dataset using SMOTE oversampling technique and ML Algorithms - KNN , XGBoost and Naive Bayes classifier
Students Placement based on some characteristics.
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