There are 0 repository under ordinal-encoding topic.
Encoding: converting categorical data into a numerical data
Feature Engineering
Machine Learning Project
This repository is totally focused on Feature Engineering Concepts in detail, I hope you'll find it helpful.
[Modeling] Project in 2022 - Simple Model of important factors in the incidence of heart disease and prediction model
Machine Learning Models
Showcasing data science skills for a dataset provided by State Farm for a coding interview.
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.
Classification of an imbalanced dataset using SMOTE oversampling technique and ML Algorithms - KNN , XGBoost and Naive Bayes classifier
Job-A-thon ML challenge
Прогнозирование рыночной стоимости автомобилей
Data Cleaning and Data Visualization with python libraries like numpy , pandas, sklean,seaborn, matplotlib-pyplot
House Price Prediction (Kaggle)
Students Placement based on some characteristics.
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.
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)
Book price dataset analysis and modeling
Ordinal Encoding - Label Encoding
Predicting whether the person is a smoker or not.