What you’ll learn
- Use Python’s scientific libraries, including NumPy, Pandas, and Matplotlib
- Transform a column using Pandas to manipulate data. Use the DataFrame Sorter to sort and normalize a numeric column
- Analyze real world data
- Use Pandas to read a dataset or DataFrame for mining. Choose a column or row to sort the DataFrame
- Use NumPy to perform statistical analysis on your data (comparisons, selection of items, replacement of values, etc.)
- Draw, adapt and analyze curves based on concrete examples
- Master NumPy arrays (read a dataset, extract a value, extract a vector, extract a matrix..).
- Reindex a DataFrame
- Learn how to use different frameworks in Python to solve real-world problems using Machine Learning and artificial intelligence
- Make predictions using linear regression, polynomial regression, and multivariate regression
- Learn the basics of Machine Learning Theory
- Learn to use Machine Learning in Python
This course includes:
- 4.5 Hours on-demand video
- 2 Articles
- 14 Downloadable resources
- Access on Mobile and TV
- Full lifetime access
- Certificate of completion
Description
Python is recognized as one of the best programming languages for its flexibility. It works in almost every field, from web development to financial application development. However, it’s no secret that Python’s best application is in data science, data analysis, and machine learning tasks.
Although Python makes it easy to use Machine Learning and data analysis, it will always be quite frustrating for someone who has no knowledge of how machine learning works.
If you want to learn data analysis and Machine Learning with Python, this course is for you. This course will help you learn how to create programs that accept data entry and automate feature extraction, simplifying real-world tasks for humans.
There are hundreds of machine learning resources available on the Internet. However, you risk learning unnecessary lessons if you do not filter out what you are learning. When creating this course, we have filtered everything to isolate the essential basics you will need in your deep learning journey.
This is a basic course that is suitable for both beginners and experts. If you are looking for a course that starts with the basics and moves on to advanced subjects, this is the best course for you.
It only teaches what you need to get started with machine learning and no-frills data analytics. While this helps to keep the course fairly concise, this is all you need to get started with the topic.
Who this race is for:
- Programming beginners who want to study all scientific libraries in Python from start to finish (Numpy, Pandas, etc.)
- Researchers interested in Python libraries for data science
- The aspiring data scientists who want to expand their knowledge
- People who want to learn how to analyze and visualize data
- Programmers looking to add Machine Learning to their skills
- Professional mathematicians eager to learn how to analyze data programmatically
- Any Python programming enthusiast who wants to add Machine Learning skills to their portfolio
How to Get this course FREE?
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