Machine Learning Regression Masterclass in Python

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Offered byUDEMY

Machine Learning Regression Masterclass in Python
at
UDEMY
Overview

Build 8+ Practical Projects and Master Machine Learning Regression Techniques Using Python, Scikit Learn and Keras

Duration	10 hours
Total fee	₹455
Mode of learning	Online
Credential	Certificate

Machine Learning Regression Masterclass in Python
at
UDEMY
Highlights

Earn a Certificate of completion from Udemy
Get a 30 days money back guarantee on the course
Get full lifetime access of the course material
Learn from3 articles and 1 downloadable resource

Machine Learning Regression Masterclass in Python
at
UDEMY
Course details

Skills you will learn

Marketing Sales Python Data visualization

Who should do this course?

For data scientists who want to apply their knowledge on real world case studies and machine learning enthusiasts who look to add more projects to their portfolio

What are the course deliverables?

Master Python programming and Scikit learn as applied to machine learning regression
Understand the underlying theory behind simple and multiple linear regression techniques
Apply simple linear regression techniques to predict product sales volume and vehicle fuel economy
Apply multiple linear regression to predict stock prices and Universities acceptance rate

More about this course

The purpose of this course is to provide students with knowledge of key aspects of machine learning regression techniques in a practical, easy and fun way
Regression is an important machine learning technique that works by predicting a continuous (dependant) variable based on multiple other independent variables
Regression strategies are widely used for stock market predictions, real estate trend analysis, and targeted marketing campaigns
According to a report released by Research and Markets, the global AI and machine learning technology sectors are expected to grow from $1.4B to $8.8B by 2022 and it is predicted that AI tech sector will create around 2.3 million jobs by 2020

Machine Learning Regression Masterclass in Python
at
UDEMY
Curriculum

Anaconda and Jupiter

Download and Set up Anaconda

What is Jupiter Notebook

Linear regression

Least Squares

Project #1 - Overview

Project #1 - Data Visualization

Project #1 - Divide Data into Training and Testing

Project #1 - Train Model

Project #1 - Test Model

Project #2 - Overview

Project #2 - Solution

Regression Metrics Intro

Regression Metric Part 1

Regression Metric Part 2

Polynomial Regression - Intuition

Poly Regression - Salary Load Data

Poly Regression - Linear Trainingtesting

Poly Regression - Poly Part 1

Poly Regression - Poly Part 2

Poly Regression Project 2 Overview

Poly Regression - Economies Linear -1

Poly Regression - Economies Linear -2

Multiple Linear Regression Overview

Project #1 - Load Data and Libraries

Project #1 - Data Visualization

Project #1 - Model Training and Evaluation

Project #1 - Model Results Evaluation

Project #2 - Overview

Project #2 - Load Data

Logistic Regression Intuition

Confusion Matrix

Project #2 - Data Import

Project #2 - Visualization

Project #2 - Data Cleaning

Project #2 - Training Testing

Model Testing Visualization

Machine Learning Regression Masterclass in Python
at
UDEMY
Faculty details

Dr. Ryan Ahmed

Ryan Ahmed is a professor who is passionate about education and technology. Ryan holds a Ph.D. degree in Mechanical Engineering from McMaster* University, with focus on Mechatronics and Electric Vehicle (EV) control. He also received a Master’s of Applied Science degree from McMaster, with focus on Artificial Intelligence (AI) and fault detection and an MBA in Finance from the DeGroote School of Business. Ryan held several engineering positions at Fortune 500 companies globally such as Samsung America and Fiat-Chrysler Automobiles (FCA) Canada. Ryan has taught several courses on Science, Technology, Engineering and Mathematics to over 70,000+ students globally.