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Machine learning with python and tensor flow

Machine learning with python and tensor flow

Course Description

Machine learning is the way of the future – it is increasingly being used by companies better process data and make more accurate predictions, making it a high-paying field filled with opportunities. This course takes a practical approach to teaching machine learning – you’ll start with a hands-on project, developing a strong understanding of the underlying algorithms after you’ve gained an intuitive understanding of the fundamentals.

Using Python and TensorFlow 2.0 (the leading library for building, training, and testing machine learning programs), you’ll build a linear regression model from scratch and train its pattern recognition with various data

Goals

  • What machine learning is
  • Real-world applications of machine learning
  • Installation and setup for TensorFlow 2.0
  • Plotting and graph creation with NumPy and Matplotlib
  • How to build and train a linear regression model

Prerequisites

Basic knowledge of Python and NumPy

Tools and Frameworks

Python 3.7, Anaconda 2019.10, Jupyter Notebook 6.0.1, NumPy 1.17, Matplotlib 3.1, Tensorflow 2.0

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Curriculum

  • Introduction
    06:53
    Preview
  • Intro to Machine Learning
    03:51
    Preview
  • What can Machine Learning do – Part 1
    09:39
  • What can Machine Learning do – Part 2
    09:18
  • Types of Machine Learning
    09:51
  • How Machine Learning Works
    09:51
  • Common Machine Learning Structures – Part 1
    06:04
  • Common Machine learning Structures – Part 2
    10:33
  • Building a Machine Learning Model – Part 1
    08:43
  • Building a Machine Learning Model – Part 2
    09:33
  • Intro to Tensorflow
    05:24
  • Installing Anaconda
    04:00
  • Working with Jupyter Notebooks
    07:33
  • Installing Tensorflow
    05:07
  • Linear Regression
    07:26
  • Building a Linear Regression Model – Part 1
    06:08
  • Building a Linear Regression Model – Part 2
    05:51
  • Building a Linear Regression Model – Part 3
    03:33
  • Building a Linear Regression Model – Part 4
    05:23
  • Building a Linear Regression Model – Part 5
    06:08
  • Building a Linear Regression Model – Part 6
    04:25
  • Building a Linear Regression Model – Part 7
    05:51
  • Conclusion
    03:06
  • Resources
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Machine learning with python and tensor flow
This Course Includes
  • 2.5 hours
  • 24 Lectures
  • 1 Resources
  • Completion Certificate Sample Certificate
  • Lifetime Access Yes
  • Language English
  • 30-Days Money Back Guarantee

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