DEEP LEARNING PREREQUISITES: LINEAR REGRESSION IN PYTHON

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Linear Regression In Python: In this course You will  Learn linear of regression From Scratch and how  to build your own working program in python for data of analysis.

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Created by: Lazy Programmer Inc

Last Updated: 5/2017

English

What Will You learn in this Course?

  • The derive & solve of a linear regression model & apply for it appropriately to data science problems.
  • The program that your own version of a linear regression of model in Python.

Requirements–>

  • How to take a derivative of using Calculus.
  • The basic of Python programing.
  • For the advanced section  of the course you will need to know that what is probability.
  • For The advanced section  of  the course you will need to know That what is the Gaussian of distribution.

Description:

In this course they teaches that you about one popular technique used in Machine learning, Data science and Statistics: linear regression. We will cover the theory from the ground up: The derivation  of the solution & The applications to true-word problems. We show that how one might code their own linear regression the module in the Python. 

Linear of Regression is the simple one that the machine learning & yet there is too much depth that you will  be returning to it for the years to come. That’s why It’s a better introductory course If you are interested in taking your 1st steps in the fields of:

  • The deep learning.
  • The machine learning.
  • The data science.
  • The statistics.

Let me tell you that in the first section: I will show you that how to use  1-D linear regression to prove that that is true Moore’s Law.

I Will tell you that in the next section : Y0u will extend that the 1-D linear regression to any-dimensional linear of regression- and how to create a machine learning model of that can learn from multiple inputs.

This course will not require any external materials. Everything needed (Python, & some Python libraries) will be obtained for free.

Note:

All the course will be download from my GitHub;

/lazyprogrammer/machine_learning_examples

In the directory of linear regression class

Make sure that you will always git pull So you  have the latest version over here:

Hard prerequisites/Knowledge You are assumed to have:

  • The calculus.
  • The linear algebra.
  • The probability.
  • The Python coding: if/else and loops or lists & Dict, loading a CSV file.

Who is the target audience?

  • The people who ware interested in the data science and machine learning or statistics & artificial intelligence.
  • The people new that how to data science who would like an easy introduction to the topic.
  • The people whose wish is to advance their career by getting into the one of technology’s treading fields and data science.
  • The self-though programmers who you want to improve their computer science theoretical skills.
  • The Analytics experts who want to learnt the basic theoretical basis behind one 0f statistics and most-used algorithms.

Size: 431.24M

Content retrieved from: https://www.udemy.com/data-science-linear-regression-in-python/.

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