Description
Python for Data Science & Machine Learning from AZ is a training to become a professional data science expert 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. This course also includes training in data analysis and illustration.
This course covers 5 main areas:
- Introduction to Using Python in Data Science and Machine Learning
- Data analysis / illustration with Python
- Mathematics for Data Science
- machine learning
- Get started in the data science specialty
What you will learn in Python for Data Science and Machine Learning from A to Z:
- Become a professional data scientist, data engineer, and data science analyst or consultant
- How to perform various processes on data including cleaning, processing, wrangling and manipulation of data
- Create a resume and get your first job as a data scientist
- Using Python for Data Science
- Write complex Python applications for practical industrial scenarios
- Learn to Draw Charts in Python (Charts, Graphs, Drawings, and Column Charts)
- Use NumPy for numeric data
- Machine learning and various practical applications
- Learn the supervised and unsupervised machine
- Learn regression, classification, clustering and Sci-kit
- Machine learning concepts and algorithms
- K-Means clustering algorithm
- Use Python to refine, analyze, and visualize data
- Statistics for Data Science
Course specifications
Publisher: Udemy
Instructors: Juan E. Galvan and Ahmed Wael
French language
Level: Advanced to Advanced
Number of lessons: 140
Duration: 22 hours and 41 minutes
Course topics on 2021/5:
Prerequisites for Python for Data Science and Machine Learning A-Z:
Students should have basic computer skills
Students would benefit from prior Python experience, but not necessary
Pictures
Introduction to Python for Data Science and Machine Learning from A to Z:
Installation guide
After ripping, watch with your favorite player.
english subtitle
Quality: 720p
Download link
File password(s): ngaur.com
Cut
6 GB