Machine Learning with Python
1.9 (5 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
522 students enrolled

Machine Learning with Python

Machine Learning and Statistical Learning with Python
1.9 (5 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
522 students enrolled
Created by SVBook Pte. Ltd.
Last updated 12/2018
English
Current price: $139.99 Original price: $199.99 Discount: 30% off
5 hours left at this price!
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This course includes
  • 1.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Machine Learning using Python
Course content
Expand 26 lectures 01:41:34
+ Session
26 lectures 01:41:34
Getting Started 2
02:04
Getting Started 3
02:52
Data Mining Process
05:37
Download Dataset
01:11
Read CSV
02:03
Simple Linear Regression
03:07
Simple Linear Regression using Python - Train and Test set
03:53
Simple Linear Regression using Python - train and predict
01:48
KMeans Clustering
03:05
KMeans Clustering in Python
03:09
Agglomeration CLustering
03:45
Agglomeration CLustering in Python
02:54
Decision Tree Algorithm: ID3
09:15
Decision Tree in Python
03:46
KNN Classification
03:50
KNN Classification in Python
03:01
Naive Bayes ALgorithm
05:36
Naive Bayes in Python
02:55
Neural Network
05:44
Neural Network in Python
02:38
What Algorithm to use?
01:35
Model Evaluation
03:44
Model Evaluation for Classification in Python
03:38
Model Evaluation for Regression in Python
03:56
Requirements
  • Fundamentals Python programming
Description

This is the bite size course to learn Python Programming for Machine Learning and Statistical Learning. In CRISP DM data mining process, machine learning is at the modeling and evaluation stage. 

You will need to know some Python programming, and you can learn Python programming from my "Create Your Calculator: Learn Python Programming Basics Fast" course.  You will learn Python Programming for machine learning and you will be able to train your own prediction models with naive bayes, decision tree, knn, neural network, linear regression, and evaluate your models very soon after learning the course.

I will create Applied statistics using Python for data understanding stage and advanced data visualizations for data understanding stage and includes some data processing for data preparation stage in future.


Content

  1. Getting Started

  2. Getting Started 2

  3. Getting Started 3

  4. Getting Started 4

  5. Data Mining Process

  6. Download Data set

  7. Read Data set

  8. Simple Linear Regression

  9. Build Linear Regression Modela: Train and Test set

  10. Build and Predict Linear Regression Models

  11. KMeans Clustering

  12. KMeans Clustering in Python

  13. Agglomeration Clustering

  14. Agglomeration Clustering in Python

  15. Decision Tree ID3 ALgorithm

  16. Decision Tree in Python

  17. KNN Classification

  18. KNN in Python

  19. Naive Bayes Classification

  20. Naive Bayes in Python

  21. Neural Network Classification

  22. Neural Network in Python

  23. What Algorithm to Use?

  24. Model Evaluation

  25. Model Evaluation using Python for Classification

  26. Model Evaluation using Python for Regression

Who this course is for:
  • Beginner Data Scientist or Analyst interested in Python programming