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Classroom Contents
Get Started with Machine Learning - Understand How It Works - Code with Iris Dataset
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- 1 Intro
- 2 Overview
- 3 Full course on Machine Learning
- 4 What is Machine Learning
- 5 Classical Computing approach
- 6 Machine Learning approach
- 7 Comparing the difference with on real-life example
- 8 How Machine Learning Works
- 9 Learning Phase: Get data and Pre-processing
- 10 Learning Phase: Train and Test model
- 11 Supervised, Unsupervised, and Reinforcement Learning
- 12 Prediction
- 13 Iris Flower Dataset
- 14 Machine Learning models and steps
- 15 Divide into dependent and independent features
- 16 Divide into train and test dataset
- 17 Create and fit and predict and test the model
- 18 Finding the most important feature
- 19 Visualize the features by importance
- 20 Visualize the classification
- 21 KNeighborsClassifier
- 22 Project Description
- 23 Project Solution
- 24 Step 1
- 25 Step 2
- 26 Step 3 a b
- 27 Step 3 c d
- 28 Step 3 e f
- 29 Step 3 g
- 30 Step 4
- 31 Step 5
- 32 Next Lesson
