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10/6/2020
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Machine Learning Practical: 6 Real-World Applications is the name of a training course by the Udemy site that, by working on 6 real applications, introduces you to machine learning in a practical way. Machine learning is a widely used branch of artificial intelligence that can prepare systems for learning by understanding and using specific methods and algorithms. If you have already learned the basics of machine learning, including building algorithms, you can use this course to learn how to work on real projects.
This course shows you what a real Data Science project looks like. During this course you will work on projects such as early diagnosis of diabetes, directing customers to shared products, reducing the rate of decline in finance, predicting customer position using GPS data, estimating future currency conversion rates, fashion classification You will work with Python, predict breast cancer, etc., and learn deep learning techniques.
Work on real Data Science projects
Use the projects of this course as a resume
Familiarity with advanced machine learning topics
Combine several ML algorithms to achieve goals
Learn information visualization techniques using Seaborn and Matplotlib
Logistic regression training
Setting L1
Random forest categories
English language
Duration: 8 hours and 37 minutes
Number of courses: 82
Level of education: Intermediate
Instructor: Dr. Ryan Ahmed, Ph.D., MBA, SuperDataScience Team, Rony Sulca
File format: mp4
You need to know Python (Machine Learning A-Z level is enough) in order to complete this course.
You need to know how to set up your working environment (Anaconda, Jupyter Notebook, Spyder)
This should not be your first Machine Learning course. You need to understand main concepts.
After Extract, watch with your favorite Player.
English subtitle
Quality: 720p
Changes:
The 2019/12 version does not show any changes compared to the 2018/11 version, but it has been updated due to the fact that more than 6 months have passed since the previous update.
Version 2021/1 does not show any changes compared to 2019/12, but it has been updated due to the fact that more than 6 months have passed since the previous update.
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