Machine Learning Course Structure

  • Machine Learning with Python
    • Home
    • Basics
    • Python Ecosystem
  • Methods for Machine Learning
    • Data Loading for ML Projects
    • Understanding Data with Statistics
    • Understanding Data with Visualization
    • Preparing Data
    • Data Feature Selection
  • ML Algorithms − Classification
    • Introduction
    • Logistic Regression
    • Support Vector Machine(SVM)
    • Decision Tree
    • Naïve Bayes
    • Random Forest
  • ML Algorithms − Regression
    • Overview
    • Linear Regression
  • ML Algorithms − Clustering
    • Overview
    • K-Means Algorithm
    • Mean Shift Algorithm
    • Hierarchical Clustering
  • ML Algorithms − KNN Algorithm
    • Finding Nearest Neighbors
    • Performance Metrics
    • Automatic Workflows
    • Improving Performance of ML Models
    • Improving Performance of ML
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