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
The Complete Machine Learning Course with Python
- 4.4
-
![]()
![]()
![]()
![]()
![]()
Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More! Brand new sections include:...
Generate and visualize data in Python and MATLAB
- 4.9
-
![]()
![]()
![]()
![]()
![]()
Learn how to simulate and visualize data for data science, statistics, and machine learning in MATLAB and Python The answer to that question comes from understanding data....
Image Recognition for Beginners using CNN in R Studio
- 4.3
-
![]()
![]()
![]()
![]()
![]()
Deep Learning based Convolutional Neural Networks (CNN) for Image recognition using Keras and Tensorflow in R Studio You've found the right Convolutional Neural Networks course!...
Statistik & Data Science Bootcamp in Excel: Von 0 auf 100!
- 0.0
-
![]()
![]()
![]()
![]()
![]()
Vom Excel-Anfänger zum gefragten Data-Science-Experten 2021: Der Komplettkurs für statistische Analysen & Prognosen! "Sehr gut!" (★★★★★, Christian Adjei) Statistik Bootcamp in Excel 2021: Von 0 auf 100 zum Excel Profi!...
