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Oct 25, 2023
#
missingvalues
Here are 8 public repositories matching this topic...
Instead of hand-coding the preprocessing of data within a data science life cycle project, you can make use of these modules to automatically preprocess your data
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Dec 30, 2020 - Jupyter Notebook
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Oct 26, 2023
ReneWind operates wind farms. Unexpected turbine failures are presenting operational and financial problems. This project uses machine learning to develop a model that accurately predict component failure, which will give the firm more control over maintenance scheduling, costs and power generation.
validation cross-validation pipelines logistic-regression confusion-matrix tuning-parameters hyperparameter-tuning decision-tree-classifier oversampling bagging undersampling random-forest-classifier xgboost-classifier heatmap-visualization xgbclassifier adaboostclassifier featureimportances missingvalues gradientboostingclassifier
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Nov 7, 2022
Data Cleaning and Data Preprocessing for AI/ML Engineers using Python, Pandas, NumPy, Scikit-learn, and practical machine learning workflows.
python data-science machine-learning numpy eda pandas artificial-intelligence feature-engineering datacleaning datapreprocessing mlpipelines missingvalues sikit-learn
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Sep 8, 2026 - Jupyter Notebook
A hands-on learning repository covering NumPy and Pandas concepts for AI and Machine Learning, including data manipulation, analysis, missing values, performance optimization, and mini assessments.
python data-science machine-learning datetime numpy jupyter-notebook pandas data-analysis artficial-intelligence groupby performance-optimization numpy-library datamanipulation dataselection missingvalues stringoperations
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Aug 21, 2026 - Jupyter Notebook
Missing Values
python heatmap matplotlib crime-data mar numpy-library oops-in-python dendrogram pandas-python missingvalues
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Sep 14, 2024 - Jupyter Notebook
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