Machine Learning Regression Masterclass in Python free download

Machine Learning Regression Masterclass in Python free download
Machine Learning Regression Masterclass in Python in Python . Master Python programming and Scikit learn as applied to machine learning regression . Understand the underlying theory behind simple and multiple linear regression techniques . Apply polynomial regression techniques to predict employees’ salary and commodity prices . Apply logistic regression to predict the probability that customer will purchase a product on Amazon using customer features . Apply multiple linear regime to predict stock prices and Universities acceptance rate . Apply simple linear researment reform techniques to predict product sales volume and vehicle fuel economy . Apply multiple linear regression technique to predict stock prices and Universities acceptance rates .

What you’ll discover in Machine Learning Regression Masterclass in Python

  1. Master Python programs as well as Scikit learn as applied to artificial intelligence regression
  2. Recognize the underlying concept behind easy and also several straight regression methods
  3. Apply basic linear regression strategies to anticipate item sales quantity and also vehicle gas economy
  4. Apply multiple direct regression to predict supply rates and also Universities acceptance price
  5. Cover the basics as well as underlying concept of polynomial regression
  6. Apply polynomial regression to anticipate workers’ salary as well as product costs
  7. Understand the theory behind logistic regression
  8. Apply logistic regression to predict the likelihood that consumer will buy a product on Amazon making use of customer features
  9. Recognize the underlying concept and math behind Artificial Neural Networks
  10. Discover just how to train network weights and predispositions and select the correct transfer features
  11. Train Artificial Neural Networks (ANNs) making use of back proliferation and slope descent techniques
  12. Maximize ANNs active parameters such as variety of hidden layers and also nerve cells to boost network performance
  13. Apply ANNs to predict home rates offered criteria such as area, number of areas. and so on
  14. Examine the performance of experienced Machine learning models utilizing KPI (Key Efficiency signs) such as Mean Outright mistake, Mean made even Error, and Root Mean Settled Error intuition, R-Squared instinct, Adjusted R-Squared and also F-Test
  15. Understand the underlying theory as well as intuition behind Lasso as well as Ridge regression strategies
  16. Test real-world, sensible tasks

Description

Artificial Intelligence (AI) change is below! The modern technology is progressing at a substantial scale and also is being commonly taken on in the Health care, defense, financial, pc gaming, transportation as well as robotics markets.

Machine Learning is a subfield of Artificial Intelligence that allows makers to improve at a provided job with experience. Machine Learning is an exceptionally hot subject; the need for experienced machine discovering engineers and also data scientists has been progressively expanding in the previous 5 years. According to a record released by Research study and Markets, the international AI and machine learning modern technology fields are expected to expand from $1.4 B to $8.8 B by 2022 and also it is forecasted that AI technology sector will create around 2.3 million jobs by 2020.

The purpose of this course is to give pupils with knowledge of key facets of machine learning regression strategies in an useful, simple and also enjoyable method. Regression is a crucial device learning technique that works by predicting a continual (dependant) variable based on multiple various other independent variables. Regression strategies are widely utilized for stock market forecasts, property trend analysis, as well as targeted advertising campaigns.

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
File Name :Machine Learning Regression Masterclass in Python free download
Content Source:udemy
Genre / Category:Development
File Size :2.43 gb
Publisher :Dr. Ryan Ahmed
Updated and Published:08 Aug,2022
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File name: Machine-Learning-Regression-Masterclass-in-Python.rar
File Size:2.43 gb
Course duration:3 hours
Instructor Name:Dr. Ryan Ahmed, Ph.D., MBA , Ligency I Team , Mitchell Bouchard , Ligency Team
Language:English
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