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Python Machine Learning

Learn to create Machine Learning Algorithms in Python

Course Description

Interested in the field of Machine Learning? Then this course is for you!

This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.

We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

This course is fun and exciting, but at the same time we dive deep into Machine Learning. It is structured the following way:

1. Machine Learning Introduction

2. Data Science Introduction

3. Machine Learning, Types of ML with Algorithms

4. How Machine Solve Real Time Problems

5. SciKit Learn & Machine Learning Map

6. Collecting & Preparing the Data

7. Train the Machine to Develop a Model

8. Using SciKitLearn Algorithms

9. Evaluate the Performance of the Model

10. Improve the Performance of the Model

Who this course is for:

  • Beginner Python developers curious about Data Science

Goals

  • Master Machine Learning on Python
  • Make accurate predictions
  • Make robust Machine Learning models
  • Use Machine Learning for personal purpose
  • Handle advanced techniques like Dimensionality Reduction
  • Build an army of powerful Machine Learning models and know how to combine them to solve any problem
  • Have a great intuition of many Machine Learning models
  • Make powerful analysis
  • Create strong added value to your business
  • Know which Machine Learning model to choose for each type of problem

Prerequisites

  • Just some high school mathematics level.
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Curriculum

  • Introduction
    01:04
    Preview
  • Machine Learning Introduction
    25:06
    Preview
  • Data Science Introduction
    30:42
  • Machine Learning, Types of ML with Algorithms
    01:04:53
  • How Machine Solve Real Time Problems
    43:33
  • SciKit Learn & Machine Learning Map
    40:27
  • Collecting & Preparing the Data
    15:09
  • Train the Machine to Develop a Model
    33:28
  • Using SciKitLearn Algorithms
    27:29
  • Evaluate the Performance of the Model
    38:35
  • Improve the Performance of the Model
    19:56
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  • A DEVI KUMAR
    A DEVI KUMAR

Python Machine Learning
This Course Includes
  • 5.5 hours
  • 12 Lectures
  • Completion Certificate Sample Certificate
  • Lifetime Access Yes
  • Language English
  • 30-Days Money Back Guarantee

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