Machine Learning Regression Masterclass in Python 2019-10

Description

Machine Learning Regression Masterclass in Python is a project-based regression machine learning course where you will complete 8 practical projects and gain skills in machine learning regression techniques using Python, Scikit Learn and Keras. The purpose of this course is to provide the knowledge needed to learn regression techniques in machine learning in a practical, easy and interesting way.

What you will learn in the Machine Learning Regression Masterclass in Python course:

Gaining skills in Python programming language and learning Scikit for use in regression in machine learning
Understanding the attitude about simple and linear regression techniques
Applying simple linear regression techniques to predict product sales volume and car profit savings
Using multiple linear regression to predict product prices and university acceptance rates
Covering the basics of polynomial regression
Using polynomial regression to predict employee salaries and product prices
Understanding the attitude behind logistic regression
Using logistic regression to predict the probability of whether a customer will buy a product on Amazon.
Understanding the mathematical approach of artificial neural networks
How to teach network weights and biases and choose the optimal transfer function
Training Artificial Neural Networks (ANNs) using back propagation and gradient descent methods
Optimizing neural networks hyper parameters such as the number of hidden layers and neurons to increase network performance
Access to the performance of trained machine learning models using KPI (Key Performance Indicators)
Drag attitude of Lasso and Ridge regression techniques

Course details

Publisher: Udemy
Instructors: Dr. Ryan AhmedPh.D., MBA, Mitchell Bouchard And Agency Team
English language
Education level: Introductory
Number of courses: 77
Duration: 10 hours and 20 minutes