Description
Applied Data Science with specialization in Python etc. The collection training offered by the University of Michigan is that the subject of scientific data applications with Python pays. In the training kit, etc. instructors in 5 courses accompany you with scientific data through the Python programming language, familiar work. This education-based skill set is designed for those with a basic understanding of the Python programming language and demanding learning topics such as statistics, machine learning, etc. visualization information, text analysis and social networks are provided.
In the beginning, the training set and the Applied Data Science with Python Specialization are familiar with data science in Python. Then enter topics like drawing apps etc. graphs and data representations by Python. After mastering these topics, machine learning in Python will be discussed and you will need to prepare the science data for the project.
Cases in which this course is given:
- Perform analysis to draw statistical conclusions
- A diagnosis, good or bad, is a visualization of data
- Strengthen data analysis with machine learning
- Analyze network connections social
Profile, of course
- Publisher: Coursera
- University: Michigan
- Teachers: Christopher Brooks, Kevyn Collins-Thompson, VG Vinod Vydiswaran, Daniel Romero
- Level: Medium
- Number of courses: 5 courses
- Language: English
Courses offered in the collection:
1. Introduction to Python Data Science
2. Applied drawing, diagramming and data representation in Python
3. Applied Machine Learning in Python
4. Application text mining in Python
5. Applied Social Network Analysis in Python
Pictures
Sample movie
installation manual
After extracting with the player, your custom view.
Subtitles: English and…
Quality: 720p
This tutorial contains 5 courses.
Download links
Introduction to Python Data Science
Applied drawing, diagramming and data representation in Python
Applied Machine Learning in Python
Application text mining in Python
Applied Social Network Analysis in Python
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file size
3.6 GB