Udemy – Machine Learning Regression Masterclass in Python 2019-10 – Download

explanation

The Machine Learning Regression Masterclass in Python is a regression machine learning project-based training course where you complete eight real-world 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 necessary to learn regression techniques in machine learning in a practical, easy, and interesting way.

In this Machine Learning Regression Masterclass in Python you will learn:

Gain skills in the Python programming language and learn Scikit for use in regression in machine learning.
Understand attitudes toward linear and simple regression techniques
Apply simple linear regression techniques to predict product sales and reduce automotive profits
Predict product prices and college acceptance rates using multiple linear regression
Covers the basics of polynomial regression.
Predict employee salaries and product prices using polynomial regression
Understanding Attitudes in Logistic Regression
Use logistic regression to predict the likelihood that a customer will purchase a product on Amazon.
Understand the mathematical approach of artificial neural networks
How to teach weights and network biases and choose optimal transfer functions
Train an artificial neural network (ANN) using backpropagation and gradient descent
Neural network optimization, including number of hidden layers and neurons to improve network function
Access the performance of your trained machine learning models using key performance indicators (KPIs)
Attitudinal attraction in Lasso and Ridge regression techniques.

Course specifications

Publisher: Udemy
Instructor: Dr. Ryan Ahmed PhD, MBA, Mitchell Bouchard and Regency Team
Language:English
Education level: basic
Number of courses: 77
Duration: 10 hours 20 minutes