Machine Learning Regression Masterclass in Python

After completing the course, you will…

  • 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
  • Cover the basics and underlying theory of polynomial regression
  • Apply polynomial regression to predict employees’ salary and commodity prices
  • Understand the theory behind logistic regression
  • Apply logistic regression to predict the probability that customer will purchase a product on Amazon using customer features
  • Understand the underlying theory and mathematics behind Artificial Neural Networks
  • Learn how to train network weights and biases and select the proper transfer functions
  • Train Artificial Neural Networks (ANNs) using back propagation and gradient descent methods
  • Optimize ANNs hyper parameters such as number of hidden layers and neurons to enhance network performance
  • Apply ANNs to predict house prices given parameters such as area, number of rooms..etc
  • Assess the performance of trained Machine learning models using KPI (Key Performance indicators) such as Mean Absolute error, Mean squared Error, and Root Mean Squared Error intuition, R-Squared intuition, Adjusted R-Squared and F-Test
  • Understand the underlying theory and intuition behind Lasso and Ridge regression techniques
  • Sample real-world, practical projects

Who this course is for:

  • Data Scientists who want to apply their knowledge on Real World Case Studies
  • Machine Learning Enthusiasts who look to add more projects to their Portfolio
Note: 100% OFF Udemy coupon codes are valid for maximum 3 days only. Look for "ENROLL NOW" button at the end of the post.
Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Read more about Affiliate disclosure here.
Deal Score0

Udemy Popular Instructors: Rob Percival | Phil Ebiner | 365 Careers | Chris Haroun | Colt Steele | Jose Portilla | Kirill Eremenko | Maximilian Schwarzmüller | Ben Tristem | Daragh Walsh | Evan Kimbrell | Dr. Angela Yu | Laurence Svekis | Start-Tech Academy | Mike Wheeler | Joeel & Natalie Rivera | Stephane Maarek | Hadelin de Ponteves | Tim Buchalka | Scott Duffy | Valentin Despa | Mohsen Hassan | Jaysen Batchelor | Jason Dion | KodeKloud Training | Stephen Grider | Daniel Walter Scott | Rahul Shetty | Andrei Neagoie | in28Minutes Official | Mauricio Rubio | Leila Gharani | Chris Croft | Lawrence M. Miller | Steve Ballinger | Eshant Garg | Juan Gabriel Gomila Salas | Alexander Hagmann | CADCIM Technologies | Sandeep Kumar ­ | Neil Cummings | Denis Panjuta | Tarek Roshdy | Minerva Singh | Matthew Barnett | Siva Prasad | Dr Karen E Wells | Graham Nicholls | Kain Ramsay |

Courses by Top Universities and Institutions: Google Cloud | Stanford University | Deeplearning.ai | University of Michigan | University of Illinois | IBM | Johns Hopkins University | Northwestern University | University of Minnesota | HSE University | Duke Univercity | New York Institute of Finance | Rice University | University of Washington | Yale University |
Course Coupon Club
Logo