Machine Learning with Python

What you'll learn

Machine Learning using Python

Requirements

Fundamentals Python programming

Description

This is the bite size course to learn Python Programming for Machine Learning and Statistical Learning. In CRISP DM data mining process, machine learning is at the modeling and evaluation stage.

You will need to know some Python programming, and you can learn Python programming from my "Create Your Calculator: Learn Python Programming Basics Fast" course. You will learn Python Programming for machine learning and you will be able to train your own prediction models with naive bayes, decision tree, knn, neural network, linear regression, and evaluate your models very soon after learning the course.

I will create Applied statistics using Python for data understanding stage and advanced data visualizations for data understanding stage and includes some data processing for data preparation stage in future.


Content

Getting Started

Getting Started 2

Getting Started 3

Getting Started 4

Data Mining Process

Download Data set

Read Data set

Simple Linear Regression

Build Linear Regression Modela: Train and Test set

Build and Predict Linear Regression Models

KMeans Clustering

KMeans Clustering in Python

Agglomeration Clustering

Agglomeration Clustering in Python

Decision Tree ID3 ALgorithm

Decision Tree in Python

KNN Classification

KNN in Python

Naive Bayes Classification

Naive Bayes in Python

Neural Network Classification

Neural Network in Python

What Algorithm to Use?

Model Evaluation

Model Evaluation using Python for Classification

Model Evaluation using Python for Regression

Who this course is for:

Beginner Data Scientist or Analyst interested in Python programming