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 and also Scikit find out as put on artificial intelligence regression
  2. Comprehend the underlying concept behind basic as well as multiple linear regression strategies
  3. Apply simple direct regression methods to anticipate item sales quantity as well as automobile gas economic climate
  4. Use multiple direct regression to predict stock costs as well as Universities acceptance price
  5. Cover the fundamentals and also underlying theory of polynomial regression
  6. Apply polynomial regression to predict employees’ income as well as asset prices
  7. Recognize the theory behind logistic regression
  8. Apply logistic regression to forecast the likelihood that client will purchase an item on Amazon utilizing customer functions
  9. Recognize the underlying theory as well as math behind Artificial Neural Networks
  10. Find out exactly how to educate network weights and predispositions and choose the proper transfer functions
  11. Train Artificial Neural Networks (ANNs) using back propagation and also slope descent approaches
  12. Maximize ANNs hyper parameters such as number of surprise layers and neurons to improve network performance
  13. Apply ANNs to forecast house rates offered parameters such as area, number of rooms. etc
  14. Evaluate the efficiency of qualified Machine discovering versions utilizing KPI (Secret Efficiency indications) such as Mean Absolute error, Mean made even Mistake, as well as Origin Mean Settled Mistake intuition, R-Squared intuition, Adjusted R-Squared and also F-Test
  15. Understand the underlying theory as well as intuition behind Lasso and Ridge regression techniques
  16. Sample real-world, sensible tasks

Description

Artificial Intelligence (AI) transformation is below! The technology is proceeding at a large range as well as is being extensively adopted in the Health care, defense, banking, gaming, transportation as well as robotics sectors.

Artificial intelligence is a subfield of Artificial Intelligence that enables devices to boost at a provided task with experience. Machine Learning is a very warm topic; the demand for experienced equipment finding out engineers as well as information researchers has actually been continuously expanding in the past 5 years. According to a record released by Study and also Markets, the worldwide AI as well as artificial intelligence technology markets are expected to grow from $1.4 B to $8.8 B by 2022 and also it is forecasted that AI tech field will develop around 2.3 million work by 2020.

The function of this course is to supply pupils with expertise of crucial facets of machine learning regression methods in an useful, very easy as well as enjoyable means. Regression is an essential equipment finding out technique that functions by forecasting a constant (dependant) variable based on multiple other independent variables. Regression methods are widely utilized for stock exchange forecasts, realty trend analysis, as well as targeted advertising and marketing 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
File Name :Machine Learning Regression Masterclass in Python free download
Content Source:udemy
Genre / Category:Development
File Size :3.39 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:3.39 gb
Course duration:5 hours
Instructor Name:Dr. Ryan Ahmed, Ph.D., MBA , Ligency I Team , Mitchell Bouchard , Ligency Team
Language:English
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