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30-Day Money-Back Guarantee

This course includes:

  • 4 hours on-demand video
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
IT & Software Other IT & Software Machine Learning

Hands-On Machine Learning with scikit-learn and Python

A practical approach
Rating: 4.4 out of 54.4 (76 ratings)
15,417 students
Created by Cristi Zot
Last updated 1/2020
English
English [Auto]
30-Day Money-Back Guarantee

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

8 sections • 44 lectures • 3h 53m total length

  • Preview01:24
  • Machine Learning with Scikit-Learn - Part 2
    04:41
  • Machine Learning with Scikit-Learn - Part 3
    05:23
  • Machine Learning with Scikit-Learn - Part 4 - Process Outline
    03:38

  • Preview04:16
  • Machine Learning with Scikit-Learn - Part 6 - KNN 2
    06:45
  • Machine Learning with Scikit-Learn - Part 7 - KNN 3
    07:02

  • Machine Learning with Scikit-Learn - Part 8 - Logistic Regression 1
    08:25
  • Machine Learning with Scikit-Learn - Part 9 - Logistic Regression 2
    05:35
  • Machine Learning with Scikit-Learn - Part 10 - Logistic Regression 3
    10:13

  • Preview06:29
  • Machine Learning with Scikit-Learn - Part 12 - Decision Trees 2
    04:13
  • Machine Learning with Scikit-Learn - Part 13 - Decision Trees 3
    05:42
  • Machine Learning with Scikit-Learn - Part 14 - Decision Trees 4
    05:35
  • Machine Learning with Scikit-Learn - Part 15 - Decision Trees 5
    02:44

  • Machine Learning with Scikit-Learn - Part 16 - Random Forests 1
    07:09
  • Machine Learning with Scikit-Learn - Part 17 - Random Forests 2
    03:50
  • Machine Learning with Scikit-Learn - Part 18 - Random Forests 3
    04:33

  • Preview05:06
  • Machine Learning with Scikit-Learn - Part 20 - Neural Networks 2
    03:53
  • Machine Learning with Scikit-Learn - Part 21 - Neural Networks 3
    06:26
  • Machine Learning with Scikit-Learn - Part 22 - Neural Networks 4
    05:32
  • Machine Learning with Scikit-Learn - Part 23 - Neural Networks 5
    05:38
  • Machine Learning with Scikit-Learn - Part 24 - Neural Networks 6
    03:19

  • Machine Learning with Scikit-Learn - Part 25 - SVMs 1
    04:34
  • Machine Learning with Scikit-Learn - Part 26 - SVMs 2
    05:15
  • Machine Learning with Scikit-Learn - Part 27 - SVMs 3
    04:12
  • Machine Learning with Scikit-Learn - Part 28 - SVMs 4
    03:42
  • Machine Learning with Scikit-Learn - Part 29 - SVMs 5
    05:57
  • Machine Learning with Scikit-Learn - Part 30 - SVMs 6
    02:48
  • Machine Learning with Scikit-Learn - Part 31 - SVMs 7
    03:38

  • Machine Learning with Scikit-Learn - Part 32 - The Decision Function
    05:43
  • Machine Learning with Scikit-Learn - Part 33 - Predict Proba
    05:28
  • Machine Learning with Scikit-Learn - Part 34 - Uncertainty Estimation
    07:28
  • Machine Learning with Scikit-Learn - Part 35 - Preprocessing - Binarization
    06:55
  • Machine Learning with Scikit-Learn - Part 36 - Preprocessing - Mean Removal
    04:07
  • Preview03:05
  • Machine Learning with Scikit-Learn - Part 38 - Preprocessing - Normalization
    04:16
  • Machine Learning with Scikit-Learn - Part 39 - Preprocessing - Label Encoding
    06:22
  • Machine Learning with Scikit-Learn - Part 40 - One Hot Encoding 1
    06:28
  • Machine Learning with Scikit-Learn - Part 41 - One Hot Encoding 2
    04:14
  • Machine Learning with Scikit-Learn - Part 42 - Automatic Feature Selection 1
    07:51
  • Machine Learning with Scikit-Learn - Part 43 - Automatic Feature Selection 2
    06:16
  • Machine Learning with Scikit-Learn - Part 44 - Automatic Feature Selection 3
    07:43

Instructor

Cristi Zot
Cybersecurity Researcher | Machine Learning Enthusiast
Cristi Zot
  • 4.3 Instructor Rating
  • 1,905 Reviews
  • 104,561 Students
  • 7 Courses

I’m Cristi. I hold an MS in Civil Engineering and I work as a Cybersecurity Analyst. I've got my Offensive Certified Security Professional Certification a couple of months ago.

Machine learning and AI are currently on my high interests as well and I am looking to combine ML/AI with cybersecurity at some point in the future.


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