Data Science: Supervised Machine Learning In Python video training machine learning or teaching machine, with the programming language Python from the website Udemy is. Machine learning leads to results marvelous is like being able to analyze medical images, and predict the disease with the experts are human. Machine learning, even for the planning of vehicles is also used, which for ever causes the change in the automotive industry can be. Imagine, with the removal of human errors, road accidents around the world greatly reduced.
In this course. completely, and step by step the algorithm of machine learning with the programming language Python along with Sci-Kit\\\’s tutorials, you\\\’ll see.
Features of the course Supervised Machine Learning In Python :
- Understand the limitations of the classification biz Bayes
- Learn and implement Propetron in Python
- Understand the products and how to apply credit mutual (cross-validation)
- Understand the pros and cons between the methods of machine learning classic and deep learning
- Programming Python : if/else, loops, lists, dicts, sets,
The characteristics of Supervised Machine Learning In Python :
- Duration Time : 6h 5m
- Language : English
- Number of courses: 53 lesson
- Video format : AVC 1280×720
- Audio : AAC 48KHz 2ch
- Instructor : Lazy Programmer, Inc.
The headlines course :
- Python, Numpy, and Pandas experience
- Probability and statistics (Gaussian distribution)
- Strong ability to write algorithms
After the Extract with the Player required view.
Version 2019/12 compared to 2018/10 the number of 1 lesson and about 8 minutes increased.
Version 2020/7 compared to 2019/12 the number of 1 lesson and 3 minutes increased.
Password file(s): www.downloadly.ir