ordinal-encoding

There are 0 repository under ordinal-encoding topic.

encoding-techniques
pritomsh / encoding-techniques
Encoding: converting categorical data into a numerical data
datalabeling dataprocessing machine-learning python labelencoder onehot-encoding ordinal-encoding
Language:Jupyter Notebook 3
mdnuruzzamanKALLOL / Ordinal-Encoding
Feature Engineering
linear-regression matplotlib numpy ordinal-encoding pandas seaborn
Language:Jupyter Notebook 2
williakn3 / Machine-Learning-Project--2
Machine Learning Project
kmeans-clustering linear-regression matplotlib modelselection onehot-encoder ordinal-encoding r2 random-forest-classifier scikit-learn smote standardscaler
Language:Jupyter Notebook 1
zuhaib1214 / Feature-Engineering
This repository is totally focused on Feature Engineering Concepts in detail, I hope you'll find it helpful.
binarization feature-engineering labelencoder normalisation onehot-encoding ordinal-encoding percentile-method principal-component-analysis simpleimputer standardization winsorization z-score discritisation mean-median-imputation iterative-imputer knn-imputer frequent-value-imputation
Language:Jupyter Notebook 1
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
lightgbm optuna ordinal-encoding robust-scaling smote stratified-cross-validation
Language:Jupyter Notebook 0
IvanSaravanja2306 / Machine_Learning_Models
Machine Learning Models
anova categorical-encoding data-encoding decision-tree-classifier dimensionality-reduction exploratory-data-analysis knn-classification logistic-regression ordinal-encoding pca random-forest support-vector-machines t-test
Language:Jupyter Notebook 0
jodiambra / State-Farm
Showcasing data science skills for a dataset provided by State Farm for a coding interview.
adam-optimizer data-science decision-tree dummyclassfier gridsearchcv keras label-encoder lightgbm logistic-regression machine-learning neural-network ordinal-encoding pipeline random-forest svm-classifier voting-classifier xgboost f1-score simple-imputer smote
Language:Jupyter Notebook 0
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.
gini-importance machine-learning shapley-values xgboost-model confusion-matrix partial-dependence-plots permutation-importances logisitic-regression random-forest one-hot-encoding ordinal-encoding
Language:Jupyter Notebook 0
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
knn naive-bayes-classifier xgboost exploratory-data-analysis feature-engineering feature-selection model-building model-evaluation data-visualization numerical-encoding label-encoding ordinal-encoding feature-importance correlation-map imbalanced-dataset smotetomek cross-validation hyperparameter-optimization
Language:Jupyter Notebook 0
Pranavi1990 / CLTV
Job-A-thon ML challenge
boosting-algorithms cross-validation eda gradientboostingregressor gridsearchcv hyperparameter-tuning machine-learning onehot-encoding ordinal-encoding r2score regression columntransformation
Language:Jupyter Notebook 0
schatzederwelt / stock-prices-cars
Прогнозирование рыночной стоимости автомобилей
python pandas column-transformer data-analysis make-pipeline feature-importance randomized-search regression lightgbm ordinal-encoding random-forest target-encoding ohe-encoding
Language:Jupyter Notebook 0
tanviparmarrajput / DATA-CLAENING-DATA-VISUALIZATION
Data Cleaning and Data Visualization with python libraries like numpy , pandas, sklean,seaborn, matplotlib-pyplot
boxplot datacleaning dataengineering datavisualization encoding labelencoding matplotlib-pyplot numpy onehot-encoding ordinal-encoding pandas pandas-dataframe pandas-library python seaborn sklearn imputer
Language:Jupyter Notebook 0
house_price_prediction
yujansaya / house_price_prediction
House Price Prediction (Kaggle)
data-preprocessing decision-trees gradient-boosting-regressor lasso-regression neural-network ordinal-encoding random-forest sgd xgboost-regression
Language:Jupyter Notebook 0
badhonparvej481 / Encoding-Techniques_ML
encoding hash-encoding machine-learning one-hot-encoding ordinal-encoding pandas-dataframe python
Language:Jupyter Notebook
edohgoka / Students_Placement_Analysis
Students Placement based on some characteristics.
regression-analysis classification machine-learning data-science random-forest knn logistic-regression linear-regression ordinal-encoding onehot-encoding pipelines exploratory-data-analysis data-cleaning data-preprocessing
Language:Jupyter Notebook
EmamulHossen / Feature_Engineering
Feature engineering or feature extraction or feature discovery is the process of extracting features from raw data.
encoder feature-engineering missing-data one-hot-encoding label-encoding ordinal-encoding
Language:Jupyter Notebook
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.
data-cleaning data-splitting logistic-regression ordinal-encoding pkl
Language:Python
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)
anova-test cross-validation house-price-prediction machine-learning onehot-encoding ordinal-encoding python random-forest random-forest-regressors sklearn sklearn-library target-encoding visualization xgboost xgboost-model
Language:Jupyter Notebook
MehrabKalantary / Book-Price-Prediction
Book price dataset analysis and modeling
bivariate-analysis eda feature-engineering feature-extraction feature-importance nlp one-hot-encoding ordinal-encoding outlier-detection random-forest-regressor scaling univariate-analysis
Language:Jupyter Notebook
nani757 / Ordinal-Encoding---Label-Encoding
Ordinal Encoding - Label Encoding
encryption label-encoding machine-learning-algorithms ordinal-encoding python
Language:Jupyter Notebook
vishvalingam2004 / Smoke-Prediction-By-Logistic-Regression
Predicting whether the person is a smoker or not.
confusion-matrix jupyter-notebook logistic-regression machine-learning matplotlib ordinal-encoding python regression seaborn
Language:Jupyter Notebook

ordinal-encoding

pritomsh / encoding-techniques

mdnuruzzamanKALLOL / Ordinal-Encoding

williakn3 / Machine-Learning-Project--2

zuhaib1214 / Feature-Engineering

carrytheeast / Project_Important_Factors_in_Heart_Disease

IvanSaravanja2306 / Machine_Learning_Models

jodiambra / State-Farm

jsgersing / IBM-Attrition

mithulmanoj / Classification---imbalanced-dataset---KNN-XGBoost-NaiveBayes

Pranavi1990 / CLTV

schatzederwelt / stock-prices-cars

tanviparmarrajput / DATA-CLAENING-DATA-VISUALIZATION

yujansaya / house_price_prediction

badhonparvej481 / Encoding-Techniques_ML

edohgoka / Students_Placement_Analysis

EmamulHossen / Feature_Engineering

jesschannn / datasci_9_data_prep

johannaschmidle / House-Price-Predictor

MehrabKalantary / Book-Price-Prediction

nani757 / Ordinal-Encoding---Label-Encoding

vishvalingam2004 / Smoke-Prediction-By-Logistic-Regression