Join The Biggest
Community of Learners

Discover Free Online Courses on subjects you like

Track your progress & Learn new skills to stay ahead of everyone

Meet and collaborate with other learners

Get new updates on free courses and discount offers

Already have an account?

Login to Account

Signup for Free

Signup with Google
Signup with Facebook
Signup with Twitter
OR

Join The Biggest
Community of Learners

Discover Free Online Courses on subjects you like

Track your progress & Learn new skills to stay ahead of everyone

Meet and collaborate with other learners

Get new updates on free courses and discount offers

Don't have an account yet?

Get a Free account

Sign In

Login with Google
Login with Facebook
Continue with Twitter
OR

Join The Biggest
Community of Learners

Discover Free Online Courses on subjects you like

Track your progress & Learn new skills to stay ahead of everyone

Meet and collaborate with other learners

Get new updates on free courses and discount offers

Don't have an account yet?

Get a Free account

Join The Biggest
Community of Learners

Discover Free Online Courses on subjects you like

Track your progress & Learn new skills to stay ahead of everyone

Meet and collaborate with other learners

Get new updates on free courses and discount offers

Already have an account?

Login to Account

Reset password

SET PROGRESS

Add To

You don’t have any
collection list yet. Create your first course collection.

Create New

Sign in to add this course to your collection list.

  • Subjects
  • Collections
  • Guides
  • Blog
SigninSignup Free

Press enter to see all results for ""

Data Science: Supervised Machine Learning in Python

Data Science: Supervised Machine Learning in Python

Discount Offer

Enroll course ADD TO

10609

Students Enrolled

4.6

(962)

Students Ratings

Full Guide to Implementing Classic Machine Learning Algorithms in Python and with Sci-Kit Learn

Description

In this course, you are first going to discuss the K-Nearest Neighbor algorithm. It’s extremely simple and intuitive, and it’s a great first classification algorithm to learn. After we discuss the concepts and implement it in code, we’ll look at some ways in which KNN can fail. It’s important to know both the advantages and disadvantages of each algorithm we look at.

Next you’ll look at the Naive Bayes Classifier and the General Bayes Classifier. This is a very interesting algorithm to look at because it is grounded in probability. It’ll see how we can transform the Bayes Classifier into a linear and quadratic classifier to speed up our calculations.

Next you’ll look at the famous Decision Tree algorithm. This is the most complex of the algorithms we’ll study, and most courses you’ll look at won’t implement them. We will, since I believe implementation is good practice.

The last algorithm we’ll look at is the Perceptron algorithm. Perceptrons are the ancestor of neural networks and deep learning, so they are important to study in the context of machine learning.

One you’ve studied these algorithms, you’ll move to more practical machine learning topics. Hyperparameters, cross-validation, feature extraction, feature selection, and multiclass classification. You’ll do a comparison with deep learning so you understand the pros and cons of each approach.

We’ll discuss the Sci-Kit Learn library, because even though implementing your own algorithms is fun and educational, you should use optimized and well-tested code in your actual work.

We’ll cap things off with a very practical, real-world example by writing a web service that runs a machine learning model and makes predictions. This is something that real companies do and make money from.

Additional Information

  • QuickCodeEnglish
  • QuickCodeFor Beginner

Related Courses

Course

Machine Learning Basics Course

Course

IBM AI Enterprise Workflow

Course

Start Data Science with Numpy, Pandas, Matplotlib & Seaborn

Course

機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

Course

Business Application of Machine Learning and Artificial Intelligence in Healthcare

Courses by Languages
  • Spanish
  • Thai
  • English
  • French
  • German
  • Chinese
  • Arabic
  • Hindi
  • Portuguese
  • Urdu
  • Hebrew
  • Japanese
  • Turkish
  • Korean
  • Russian
  • Vietnamese
  • Italian
  • Somali
  • Indonesian
  • Telugu
  • Polish
  • Dutch
Free Courses by Provider
  • Udemy free courses
  • Coursera free courses
  • SkillShare free courses
  • Edx free courses
  • BitDegree free courses
  • QuickStart free courses
  • Eduonix free courses
Top Courses by Provider
  • Udemy best courses
  • Coursera best courses
  • SkillShare best courses
  • QuickStart best courses
  • Eduonix best courses
Connect
  • FAQ
  • Are You an Instructor?
  • Submit Course
  • Engineering Blogs
  • Programming Guide
  • Affilates Disclosure
  • Privacy Policy
Best Development Courses
  • Best Python courses
  • Best JavaScript courses
  • Best Machine Learning courses
  • Best Java courses
  • Best React courses
  • Best Angular courses
  • Best Unity courses
Best Design Courses
  • Best Photoshop courses
  • Best Blender courses
  • Best Adobe Illustrator courses
  • Best After Effects courses
  • Best Adobe XD courses
  • Best AutoCAD courses
  • Best Revit courses
Best Business Courses
  • Best Accounting courses
  • Best Business Analytics courses
  • Best Management courses
  • Best Sales courses
  • Best Leadership courses
  • Best Entrepreneurship courses
Best Personal Development Courses
  • Best Learning Strategies courses
  • Best Life Coaching courses
  • Best Reiki courses
  • Best Energy Healing courses
  • Best Memory courses
  • Best Speed Reading courses
  • Best Confidence courses
Free Udemy Courses
  • Docker Free Udemy courses
  • Flutter Free Udemy courses
  • Golang Free Udemy courses
  • Django Free Udemy courses
  • React Native Free Udemy courses
  • Arduino Free Udemy courses
  • AWS Free Udemy courses
  • Git Free Udemy courses
  • Ionic Free Udemy courses
  • jenkins Free Udemy courses

© 2019 coursesity.com All rights reserved.