Encoding: converting categorical data into a numerical data
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Mar 8, 2023 - Jupyter Notebook
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ordinal-encoding
Here are 25 public repositories matching this topic...
Feature Engineering
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Mar 18, 2023 - Jupyter Notebook
Feature Engineering with Python
pipeline data-normalization imbalanced-data outlier-removal zscore iqr label-encoding simple-imputer dummy-variables onehot-encoding ordinal-encoding column-transformer knn-imputer data-standardization modified-zscore
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Oct 15, 2025 - Jupyter Notebook
This repository is totally focused on Feature Engineering Concepts in detail, I hope you'll find it helpful.
standardization feature-engineering principal-component-analysis binarization z-score normalisation onehot-encoding simpleimputer ordinal-encoding labelencoder knn-imputer winsorization iterative-imputer percentile-method discritisation mean-median-imputation frequent-value-imputation
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Apr 7, 2023 - Jupyter Notebook
jupyter-notebook kaggle titanic-kaggle random-forest-classifier ordinal-encoding catboost-classifier robust-scaler
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Jan 14, 2025 - Jupyter Notebook
Machine Learning Project
linear-regression scikit-learn matplotlib kmeans-clustering smote r2 random-forest-classifier onehot-encoder standardscaler modelselection ordinal-encoding
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Jul 23, 2024 - Jupyter Notebook
Showcasing data science skills for a dataset provided by State Farm for a coding interview.
data-science machine-learning neural-network pipeline random-forest keras xgboost lightgbm logistic-regression decision-tree svm-classifier smote f1-score adam-optimizer voting-classifier gridsearchcv simple-imputer label-encoder ordinal-encoding dummyclassfier
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May 14, 2023 - Jupyter Notebook
Data Cleaning and Data Visualization with python libraries like numpy , pandas, sklean,seaborn, matplotlib-pyplot
python encoding numpy pandas-dataframe sklearn pandas seaborn boxplot dataengineering datavisualization pandas-library datacleaning matplotlib-pyplot onehot-encoding imputer ordinal-encoding labelencoding
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Apr 17, 2024 - Jupyter Notebook
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) (Done alongside Kaggle ML courses)
visualization python machine-learning random-forest sklearn cross-validation xgboost house-price-prediction xgboost-model target-encoding sklearn-library onehot-encoding anova-test ordinal-encoding random-forest-regressors
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Jul 26, 2024 - Jupyter Notebook
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May 19, 2023 - Jupyter Notebook
[Modeling] Project in 2022 - Simple Model of important factors in the incidence of heart disease and prediction model
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Dec 27, 2022 - Jupyter Notebook
Machine Learning Models
random-forest exploratory-data-analysis t-test pca dimensionality-reduction logistic-regression support-vector-machines anova decision-tree-classifier knn-classification data-encoding categorical-encoding ordinal-encoding
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Jan 23, 2024 - Jupyter Notebook
Book price dataset analysis and modeling
nlp eda feature-extraction outlier-detection scaling feature-engineering random-forest-regressor bivariate-analysis feature-importance univariate-analysis one-hot-encoding ordinal-encoding
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Dec 5, 2023 - Jupyter Notebook
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.
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Nov 23, 2023 - Python
Kaggle Project
python data-science machine-learning numpy linear-regression machine-learning-algorithms pandas data-visualization seaborn kaggle-competition data-analysis kaggle-dataset gridsearchcv random-forest-regression onehot-encoding streamlit sckit-learn ordinal-encoding xgboost-regressor
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Mar 22, 2025 - Jupyter Notebook
Job-A-thon ML challenge
machine-learning cross-validation regression eda boosting-algorithms hyperparameter-tuning gridsearchcv onehot-encoding r2score ordinal-encoding gradientboostingregressor columntransformation
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Jun 27, 2023 - Jupyter Notebook
Feature engineering or feature extraction or feature discovery is the process of extracting features from raw data.
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Sep 3, 2023 - Jupyter Notebook
Data preprocessing is a data mining technique that is used to transform the raw data into a useful and efficient format.
sklearn feature-selection outliers outlier-detection standardization features feature-scaling feature-transformation normalization outlier-removal power-transformers datapreprocessing onehot-encoding ordinal-encoding labelencoder function-transformer
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Aug 2, 2025 - Jupyter Notebook
Students Placement based on some characteristics.
data-science machine-learning random-forest linear-regression exploratory-data-analysis pipelines classification logistic-regression data-preprocessing knn data-cleaning regression-analysis onehot-encoding ordinal-encoding
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Aug 23, 2021 - Jupyter Notebook
Classification of an imbalanced dataset using SMOTE oversampling technique and ML Algorithms - KNN , XGBoost and Naive Bayes classifier
exploratory-data-analysis cross-validation data-visualization feature-selection naive-bayes-classifier xgboost hyperparameter-optimization feature-engineering knn model-evaluation model-building feature-importance label-encoding smotetomek numerical-encoding ordinal-encoding correlation-map imbalanced-dataset
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May 9, 2020 - Jupyter Notebook
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