### Link : [2019] Machine Learning Regression Masterclass in Python

#### Want to learn regression models? Then [2019] Machine Learning Regression Masterclass in Python is one of the best ways, with discount ....HOT & NEW

4.8 (7 ratings)321 students enrolled

Created by Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard

#### What you'll learn

- 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

#### Requirements

- Machine Learning basics
- PC with Internet connetion

Machine Learning is a subfield of Artificial Intelligence that enables machines to improve at a given task with experience. Machine Learning is an extremely hot topic; the demand for experienced machine learning engineers and data scientists has been steadily growing in the past 5 years. According to a report released by Research and Markets, the global AI and machine learning technology sectors are expected to grow from $1.4B to $8.8B by 2022 and it is predicted that AI tech sector will create around 2.3 million jobs by 2020.

## 1 Comments

very informative article post. much thanks again

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