Hands-On Machine Learning with scikit-learn and Python

Hands-On Machine Learning with scikit-learn and Python

Hands-On Machine Learning with scikit-learn and Python

A practical approach

Language: english

Note: 4.3/5 (119 notes) 22,545 students

Instructor(s): Cristi Zot

Last update: 2020-01-16

What you’ll learn

  • Machine Learning with scikit-learn and Python

 

Requirements

  • Python programming
  • Basic math knowledge or willingness to learn fast

 

Description

You keep hearing about machine learning and artificial intelligence and how they revolutionize the world we live in. You want to learn more. You’re in the right place.

You have basic understanding of Python and you are decent in math. Better!

You’re going to learn hands-on machine learning with scikit-learn, a Python library for machine learning. Since this is a hands-on course, you will be working your way through with Python and Jupyter notebooks.

 

Who this course is for

  • You want to get into machine learning and artificial intelligence
  • You already work in ML/AI and need to learn to program basic algorithms in Python with scikit-learn
  • You are a student, know a bit of coding, and want to get into ML/AI
  • You are a programmer and want to smoothly transition into ML/AI

 

Course content

  • Introduction
    • Introduction
    • Machine Learning with Scikit-Learn – Part 2
    • Machine Learning with Scikit-Learn – Part 3
    • Machine Learning with Scikit-Learn – Part 4 – Process Outline
  • KNN – K-Nearest Neighbors
    • Machine Learning with Scikit-Learn – Part 5 – KNN 1
    • Machine Learning with Scikit-Learn – Part 6 – KNN 2
    • Machine Learning with Scikit-Learn – Part 7 – KNN 3
  • Logistic Regression
    • Machine Learning with Scikit-Learn – Part 8 – Logistic Regression 1
    • Machine Learning with Scikit-Learn – Part 9 – Logistic Regression 2
    • Machine Learning with Scikit-Learn – Part 10 – Logistic Regression 3
  • Decision Trees
    • Machine Learning with Scikit-Learn – Part 11 – Decision Trees 1
    • Machine Learning with Scikit-Learn – Part 12 – Decision Trees 2
    • Machine Learning with Scikit-Learn – Part 13 – Decision Trees 3
    • Machine Learning with Scikit-Learn – Part 14 – Decision Trees 4
    • Machine Learning with Scikit-Learn – Part 15 – Decision Trees 5
  • Random Forests
    • Machine Learning with Scikit-Learn – Part 16 – Random Forests 1
    • Machine Learning with Scikit-Learn – Part 17 – Random Forests 2
    • Machine Learning with Scikit-Learn – Part 18 – Random Forests 3
  • Neural Networks
    • Machine Learning with Scikit-Learn – Part 19 – Neural Networks 1
    • Machine Learning with Scikit-Learn – Part 20 – Neural Networks 2
    • Machine Learning with Scikit-Learn – Part 21 – Neural Networks 3
    • Machine Learning with Scikit-Learn – Part 22 – Neural Networks 4
    • Machine Learning with Scikit-Learn – Part 23 – Neural Networks 5
    • Machine Learning with Scikit-Learn – Part 24 – Neural Networks 6
  • Support Vector Machines
    • Machine Learning with Scikit-Learn – Part 25 – SVMs 1
    • Machine Learning with Scikit-Learn – Part 26 – SVMs 2
    • Machine Learning with Scikit-Learn – Part 27 – SVMs 3
    • Machine Learning with Scikit-Learn – Part 28 – SVMs 4
    • Machine Learning with Scikit-Learn – Part 29 – SVMs 5
    • Machine Learning with Scikit-Learn – Part 30 – SVMs 6
    • Machine Learning with Scikit-Learn – Part 31 – SVMs 7
  • Preprocessing and other Techniques
    • Machine Learning with Scikit-Learn – Part 32 – The Decision Function
    • Machine Learning with Scikit-Learn – Part 33 – Predict Proba
    • Machine Learning with Scikit-Learn – Part 34 – Uncertainty Estimation
    • Machine Learning with Scikit-Learn – Part 35 – Preprocessing – Binarization
    • Machine Learning with Scikit-Learn – Part 36 – Preprocessing – Mean Removal
    • Machine Learning with Scikit-Learn – Part 37 – Preprocessing – Scaling
    • Machine Learning with Scikit-Learn – Part 38 – Preprocessing – Normalization
    • Machine Learning with Scikit-Learn – Part 39 – Preprocessing – Label Encoding
    • Machine Learning with Scikit-Learn – Part 40 – One Hot Encoding 1
    • Machine Learning with Scikit-Learn – Part 41 – One Hot Encoding 2
    • Machine Learning with Scikit-Learn – Part 42 – Automatic Feature Selection 1
    • Machine Learning with Scikit-Learn – Part 43 – Automatic Feature Selection 2
    • Machine Learning with Scikit-Learn – Part 44 – Automatic Feature Selection 3

 

Hands-On Machine Learning with scikit-learn and Python

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