
01
SeptemberDifferent Data Visualization Libraries in Python

01
SeptemberPython Data Visualization Implementation

01
SeptemberIntroduction To Machine Learning

01
SeptemberExploratory Data Analysis

01
SeptemberFeature Scaling

01
SeptemberData Cleaning

01
SeptemberFeature Engineering

01
SeptemberLinear Regression Intro

01
SeptemberGradient Descent

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SeptemberLinear Regression + Correlation Methods

01
SeptemberLinear Regression Implementation

01
SeptemberLogistic Regression

01
SeptemberKNN Overview

01
Septemberparametric vs non-parametric models

01
SeptemberEDA on Iris Dataset

01
SeptemberThe KNN Intuition

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SeptemberImplement the KNN algorithm from scratch

01
SeptemberCompare the result with the sklearn library

01
SeptemberHyperparameter tuning using the cross-validation

01
SeptemberThe decision boundary visualization

01
SeptemberManhattan vs Euclidean Distance

01
SeptemberFeature scaling in KNN

01
SeptemberCurse of dimensionality

01
SeptemberKNN use cases

01
SeptemberKNN pros and cons
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