Get Started with Machine Learning - Understand How It Works - Code with Iris Dataset

Intro
Overview
Full course on Machine Learning
What is Machine Learning
Classical Computing approach
Machine Learning approach
Comparing the difference with on real-life example
How Machine Learning Works
Learning Phase: Get data and Pre-processing
Learning Phase: Train and Test model
Supervised, Unsupervised, and Reinforcement Learning
Prediction
Iris Flower Dataset
Machine Learning models and steps
Divide into dependent and independent features
Divide into train and test dataset
Create and fit and predict and test the model
Finding the most important feature
Visualize the features by importance
Visualize the classification
KNeighborsClassifier
Project Description
Project Solution
Step 1
Step 2
Step 3 a b
Step 3 c d
Step 3 e f
Step 3 g
Step 4
Step 5
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