Udemy – Machine Learning Regression Masterclass in Python 2019-10

Published on: 2021-05-08 07:01:26

Categories: 28

Description

Machine Learning Regression Masterclass in Python is a regression machine learning project-based training course in which you will complete 8 practical projects and become proficient 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 Machine Learning Regression Masterclass in Python:

Gain skills in Python programming language and learn Scikit for use in regression in machine learning
Understand attitudes about linear and simple regression techniques
Applying simple linear regression techniques to predict product sales and save car profits
Use multiple linear regressions to predict product prices and university admissions rates
Covering the basics of polynomial regression
Use polynomial regression to predict employee pay and product prices
Understand the attitude behind logistic regression
Use logistic regression to predict the likelihood that a customer will buy a product on Amazon.
Understand the mathematical approach of artificial neural networks
How to teach weights and network biases and select the optimal transfer function
Training Artificial Neural Networks (ANNs) using back propagation and gradient descent methods
Optimization of neural networks such as the number of hidden layers and neurons to increase network function
Access to the performance of machine learning models taught using KPIs (Key Performance indicators)
Attitude drag of Lasso and Ridge regression techniques

Course specifications

Publisher: Udemy
Instructors: Dr. Ryan Ahmed , Ph.D., MBA, Mitchell Bouchard and Ligency Team
Language: English
Education Level: Basic
Number of Courses: 77
Duration: 10 hours and 20 minutes