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
Headlines of the Machine Learning Regression Masterclass in Python 2021-5 course:
Course prerequisites:
PC with Internet connection
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
4.9 GB