Crookshanks' Academy
Data Analysis

Machine Learning

6 Seasons · 36 Episodes · 0/36 watched

A binge-worthy 6-season journey through Machine Learning. Learn to turn raw numbers into decisions — one episode at a time.

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About this course

A binge-worthy 6-season journey through Machine Learning. Learn to turn raw numbers into decisions — one episode at a time.

Machine Learning is a free, self-paced data analysis course from Crookshanks' Academy. It contains 36 video lessons organised into 6 seasons, each with study notes and a practice task. Track your progress as you go and earn a certificate of completion when you finish every episode.

What you'll learn

Season 1

  • Machine Learning Tutorial Python -1: What is Machine Learning?
  • Machine Learning Tutorial Python - 2: Linear Regression Single Variable
  • Machine Learning Tutorial Python - 3: Linear Regression Multiple Variables
  • Machine Learning Tutorial Python - 4: Gradient Descent and Cost Function
  • Machine Learning Tutorial Python - 5: Save Model Using Joblib And Pickle
  • Machine Learning Tutorial Python - 6: Dummy Variables & One Hot Encoding

Season 2

  • Machine Learning Tutorial Python - 7: Training and Testing Data
  • Machine Learning Tutorial Python - 8: Logistic Regression (Binary Classification)
  • Machine Learning Tutorial Python - 8 Logistic Regression (Multiclass Classification)
  • Machine Learning Tutorial Python - 9 Decision Tree
  • Machine Learning Tutorial Python - 10 Support Vector Machine (SVM)
  • Machine Learning Tutorial Python - 11 Random Forest

Season 3

  • Machine Learning Tutorial Python 12 - K Fold Cross Validation
  • Machine Learning Tutorial Python - 13: K Means Clustering Algorithm
  • Machine Learning Tutorial Python - 14: Naive Bayes Classifier Algorithm Part 1
  • Machine Learning Tutorial Python - 15: Naive Bayes Classifier Algorithm Part 2
  • Machine Learning Tutorial Python - 16: Hyper parameter Tuning (GridSearchCV)
  • Machine Learning Tutorial Python - 17: L1 and L2 Regularization | Lasso, Ridge Regression

Season 4

  • Machine Learning Tutorial Python - 18: K nearest neighbors classification with python code
  • Machine Learning Tutorial Python - 19: Principal Component Analysis (PCA) with Python Code
  • Machine Learning Tutorial Python - 20: Bias vs Variance In Machine Learning
  • Machine Learning Tutorial Python - 21: Ensemble Learning - Bagging
  • Machine Learning & Data Science Project - 1 : Introduction (Real Estate Price Prediction Project)
  • Machine Learning & Data Science Project - 2 : Data Cleaning (Real Estate Price Prediction Project)

Season 5

  • Machine Learning & Data Science Project - 3 : Feature Engineering (Real Estate Price Prediction)
  • Machine Learning & Data Science Project - 4 : Outlier Removal (Real Estate Price Prediction Project)
  • Machine Learning & Data Science Project - 5 : Model Building (Real Estate Price Prediction Project)
  • Machine Learning & Data Science Project - 6 : Python Flask Server (Real Estate Price Prediction)
  • Machine Learning & Data Science Project - 7 : Website or UI (Real Estate Price Prediction Project)
  • Deploy machine learning model to production AWS (Amazon EC2 instance)

Season 6

  • Data Science & Machine Learning Project - Part 1 Introduction | Image Classification
  • Data Science & Machine Learning Project - Part 2 Data Collection | Image Classification
  • Data Science & Machine Learning Project - Part 3 Data Cleaning | Image Classification
  • Data Science & Machine Learning Project - Part 4 Feature Engineering | Image Classification
  • Data Science & Machine Learning Project - Part 5 Training a Model | Image Classification
  • Data Science & Machine Learning Project - Part 6 Flask Server | Image Classification

Episodes

  1. 1
    Machine Learning Tutorial Python -1: What is Machine Learning?
  2. 2
    Machine Learning Tutorial Python - 2: Linear Regression Single Variable
  3. 3
    Machine Learning Tutorial Python - 3: Linear Regression Multiple Variables
  4. 4
    Machine Learning Tutorial Python - 4: Gradient Descent and Cost Function
  5. 5
    Machine Learning Tutorial Python - 5: Save Model Using Joblib And Pickle
  6. 6
    Machine Learning Tutorial Python - 6: Dummy Variables & One Hot Encoding