ordinal-encoding
There are 23 repositories under ordinal-encoding topic.
pritomsh/encoding-techniques
Encoding: converting categorical data into a numerical data
mdnuruzzamanKALLOL/Ordinal-Encoding
Feature Engineering
TheMrityunjayPathak/FeatureEngineering
Feature Engineering with Python
williakn3/Machine-Learning-Project--2
Machine Learning Project
zuhaib1214/Feature-Engineering
This repository is totally focused on Feature Engineering Concepts in detail, I hope you'll find it helpful.
carrytheeast/Project_Important_Factors_in_Heart_Disease
[Modeling] Project in 2022 - Simple Model of important factors in the incidence of heart disease and prediction model
IvanSaravanja2306/Machine_Learning_Models
Machine Learning Models
jodiambra/State-Farm
Showcasing data science skills for a dataset provided by State Farm for a coding interview.
jsgersing/IBM-Attrition
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.
mithulmanoj/Classification---imbalanced-dataset---KNN-XGBoost-NaiveBayes
Classification of an imbalanced dataset using SMOTE oversampling technique and ML Algorithms - KNN , XGBoost and Naive Bayes classifier
Pranavi1990/CLTV
Job-A-thon ML challenge
schatzederwelt/stock-prices-cars
Прогнозирование рыночной стоимости автомобилей
tanviparmarrajput/DATA-CLAENING-DATA-VISUALIZATION
Data Cleaning and Data Visualization with python libraries like numpy , pandas, sklean,seaborn, matplotlib-pyplot
TrilokiDA/Data-pre-processing
Data preprocessing is a data mining technique that is used to transform the raw data into a useful and efficient format.
yujansaya/house_price_prediction
House Price Prediction (Kaggle)
edohgoka/Students_Placement_Analysis
Students Placement based on some characteristics.
EmamulHossen/Feature_Engineering
Feature engineering or feature extraction or feature discovery is the process of extracting features from raw data.
jesschannn/datasci_9_data_prep
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.
johannaschmidle/House-Price-Predictor
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)
Mehrab-Kalantari/Book-Price-Prediction
Book price dataset analysis and modeling
nani757/Ordinal-Encoding---Label-Encoding
Ordinal Encoding - Label Encoding
vishvalingam2004/Smoke-Prediction-By-Logistic-Regression
Predicting whether the person is a smoker or not.