Machine Learning and AI

All the knowledge to get you started in AI at your disposal

Machine Learning and Ai have never been so easy to comprehend. But now with our new AI course, you will be able to debunk all the mysteries and complexities of machine learning .
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Course curriculum

  • 1

    Chapter 1 - Getting Started with Machine Learning

    • Introduction

    • Installing SKlearn

    • Plot a Graph

    • Features and Labels_1

    • Save and Open a Model
  • 2

    Chapter 2 - Taking a look at some machine learning algorithms

    • Classification

    • Train Test Split

    • What is KNN

    • KNN Example

    • SVM Explained

    • SVM Example

    • Linear regression

    • Logistic vs linear regression

    • Kmeans and the math beind it

    • KMeans Example
  • 3

    Chapter 3 - Artificial Intelligence and the science behind It

    • Neural Network

    • Overfitting and Underfitting

    • Backpropagation

    • Cost Function and Gradient Descent

    • CNN

    • Handwritten Digits Recognizer

Enroll for FREE

To better our community, we decided to give out our couse for FREE