explanation
AZ’s Python for Data Science and Machine Learning is a course designed to help you become a professional data science professional and learn how to use NumPy, Pandas, and machine learning. In this hands-on course, you will learn how to program in Python for data science and machine learning. The course also includes training in data analysis and illustration.
The course covers five main areas:
- Introduction to using Python in data science and machine learning
- Data analysis/explanation using Python
- Math for Data Science
- machine learning
- Get started in the data science specialization
What you’ll learn in Python for Data Science and Machine Learning in AZ:
- Become a professional data science expert, data engineer, data science analyst, or consultant.
- How to perform various processes on data, including data cleaning, processing, wrangling, and manipulation.
- Write your resume and get your first job as a data expert
- Using Python for Data Science
- Write complex Python applications for real-world industrial scenarios
- Learn how to draw charts in Python (charts, charts, plots, and histograms).
- Using NumPy for numeric data
- Machine learning and various practical applications
- Supervised and unsupervised machine learning
- Learn about regression, classification, clustering, and Sci-kit
- Concepts and machine learning algorithms
- K-Means Clustering Algorithm
- Enhance, analyze, and visualize data using Python
- data science statistics
Course specifications
Publisher: Udemy
teacher: Juan E. Galvan and Ahmed Wael
Language:English
Level: Advanced – Advanced
Number of courses: 140
Duration: 22 hours 41 minutes
2021/5 Course Topics:
Python prerequisites for Data Science and Machine Learning in AZ:
Students must have basic computer skills.
Students benefit from prior Python experience, but it is not required.
movie
Introduction to Python for Data Science and Machine Learning in AZ:
installation manual
After extracting, watch with your favorite players.
English subtitles
Quality: 720p
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6GB