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Data Handling And Exploratory Data Analysis Eda
Browse all available micro learning modules for this topic. Each module includes concise learning content designed to help you master individual learning objectives.
Subject
Artificial Intelligence
Micro Learning Modules
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Categorical Encoding3a Label One Hot Ordinal Encodings
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Correlation And Causation Careful Interpretation
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Data Cleaning3a Missing Values Drop Impute Outlier Detection And Treatment
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Data Types3a Numeric Vs Categorical Vs Text Vs Image Type Conversions
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Documentation Of Eda Findings And Data Quality Report
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Feature Engineering3a Binning Interaction Terms Date Time Features
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Loading And Saving Data Csv Json Excel Reading From Urls Apis
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Scaling And Normalization Transformations Log Box Cox Intuition
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Train Validation Test Split Stratification
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Visualization For Eda3a Histograms Boxplots Scatter Plots Heatmaps
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