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Topic: "ordinal-encoding"

zuhaib1214/Feature-Engineering

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

Language: Jupyter Notebook - Size: 15.9 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

alel2003/Spaceship-Titanic

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owenl0000/HousePricesProject

Kaggle Project

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RobbenWijanathan/IncomePredict

IncomePredict is a Python-based data science project that analyzes income levels using data visualization, encoding techniques, and machine learning models.

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LKEthridge/Supervised_Learning

Supervised Learning project from TripleTen

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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.

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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)

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williakn3/Machine-Learning-Project--2

Machine Learning Project

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tanviparmarrajput/DATA-CLAENING-DATA-VISUALIZATION

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

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Mehrab-Kalantari/Book-Price-Prediction

Book price dataset analysis and modeling

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EmamulHossen/Feature_Engineering

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

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badhonparvej481/Encoding-Techniques_ML

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jodiambra/State-Farm

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

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vishvalingam2004/Smoke-Prediction-By-Logistic-Regression

Predicting whether the person is a smoker or not.

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schatzederwelt/stock-prices-cars

Прогнозирование рыночной стоимости автомобилей

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nani757/Ordinal-Encoding---Label-Encoding

Ordinal Encoding - Label Encoding

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edohgoka/Students_Placement_Analysis

Students Placement based on some characteristics.

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Related Topics
python 8 machine-learning 7 onehot-encoding 6 one-hot-encoding 5 data-science 4 random-forest 4 linear-regression 3 sklearn 3 pandas 3 logistic-regression 3 encoding 3 seaborn 3 label-encoding 3 feature-engineering 3 labelencoder 2 smote 2 classification 2 machine-learning-algorithms 2 confusion-matrix 2 outlier-detection 2 feature-scaling 2 numpy 2 pandas-dataframe 2 f1-score 2 random-forest-classifier 2 jupyter-notebook 2 matplotlib 2 standardization 2 xgboost 2 target-encoding 2 regression 2 gridsearchcv 2 data-analysis 2 data-visualization 2 lightgbm 2 feature-importance 2 random-forest-regressors 1 pandas-library 1 house-price-prediction 1 cross-validation 1 encryption 1 anova-test 1 matplotlib-pyplot 1 labelencoding 1 imputer 1 datavisualization 1 dataengineering 1 datacleaning 1 boxplot 1 voting-classifier 1 svm-classifier 1 simple-imputer 1 pipeline 1 neural-network 1 titanic-kaggle 1 robust-scaler 1 kaggle 1 catboost-classifier 1 univariate-analysis 1 scaling 1 random-forest-regressor 1 nlp 1 feature-extraction 1 eda 1 bivariate-analysis 1 power-transformers 1 outliers 1 outlier-removal 1 normalization 1 function-transformer 1 features 1 feature-transformation 1 feature-selection 1 datapreprocessing 1 xgboost-regressor 1 streamlit 1 sckit-learn 1 random-forest-regression 1 kaggle-dataset 1 kaggle-competition 1 xgboost-model 1 visualization 1 sklearn-library 1 percentile-method 1 normalisation 1 mean-median-imputation 1 knn-imputer 1 iterative-imputer 1 frequent-value-imputation 1 discritisation 1 binarization 1 hash-encoding 1 regression-analysis 1 pipelines 1 knn 1 exploratory-data-analysis 1 data-preprocessing 1 data-cleaning 1 standardscaler 1 scikit-learn 1