01
SeptemberDifferent Data Visualization Libraries in Python
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SeptemberPython Data Visualization Implementation
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SeptemberIntroduction To Machine Learning
01
SeptemberExploratory Data Analysis
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SeptemberFeature Scaling
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SeptemberData Cleaning
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SeptemberFeature Engineering
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SeptemberLinear Regression Intro
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SeptemberGradient Descent
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SeptemberLinear Regression + Correlation Methods
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SeptemberLinear Regression Implementation
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SeptemberLogistic Regression
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SeptemberKNN Overview
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Septemberparametric vs non-parametric models
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SeptemberEDA on Iris Dataset
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SeptemberThe KNN Intuition
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SeptemberImplement the KNN algorithm from scratch
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SeptemberCompare the result with the sklearn library
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SeptemberHyperparameter tuning using the cross-validation
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SeptemberThe decision boundary visualization
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SeptemberManhattan vs Euclidean Distance
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SeptemberFeature scaling in KNN
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SeptemberCurse of dimensionality
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SeptemberKNN use cases
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SeptemberKNN pros and cons
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