Python - Data mining and Machine learning
- 3.4
-
![]()
![]()
![]()
Brief Introduction
Develop your own Python recommender system using Machine LearningDescription
Interested in machine learning or do you just want to make a recommender system on your own? Then this course is all you need! You will learn how to crawl data(data mining), setup a database for storing data and then use this data to recommend items to the users within your system.
Requirements
- Requirements
- A computer/Laptop
- Internet for downloading frameworks/IDE's
- No prior knowledge is required, however it is beneficial to know at least one programming language
Mark Nielsen
3.4 Raiting
NLP and Text mining with python(for absolute beginners only)
- 4
-
![]()
![]()
![]()
![]()
![]()
Learn Natural Language Processing using Python from experts with hands on examples and practice sessions. You are looking at right course!...
The Complete Machine Learning 2020|Python, Math|Dummy To Pro
- 4.3
-
![]()
![]()
![]()
![]()
![]()
Start Machine Learning & Data Science era with Python ,Math & Libraries like: SKlearn , Pandas , NumPy, Matplotlib & Gym...
Complete Python Challenges, Python MCQ& Python Recap in 2021
- 3.9
-
![]()
![]()
![]()
![]()
![]()
Python 3 MCQ questions & Python Exercises & Python Examples to be a Python job ready for upcoming Python interview. Operators Types in Python....
Supervised Machine Learning: Regression
- 4.7
-
![]()
![]()
![]()
![]()
![]()
This course introduces you to one of the main types of modelling families of supervised Machine Learning: Regression. By the end of this course you should be able to:...
