Machine Learning with Python Certification Course 2022

What is Machine Learning with Python?

Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. Machine Learning with Python course at Skillup Online dives into the basics of machine learning using an approachable, and well-known, programming language.

What is in this Machine Learning with Python course?

This course at Skillup Online covers the basics of machine learning and how to apply them with the popular programming language Python. The course covers which machine learning methods are suitable for which problems. It also covers how to evaluate the performance of your machine learning algorithms. Students will learn how to apply machine learning algorithms to real-world problems, including building a spam filter and predicting credit default risk.

Explore many algorithms and models:

• Popular algorithms: Classification, Regression, Clustering, and Dimensional Reduction.
• Popular models: Train/Test Split, Root Mean Squared Error, and Random Forests.

Prepare to accomplish more learning than your machine!

Course Syllabus

Module 1 - Supervised vs Unsupervised Learning

Module 2 - Supervised Learning I

Module 3 - Supervised Learning II

Module 4 - Unsupervised Learning

Module 5 - Dimensionality Reduction & Collaborative Filtering

What you will get in this course?

• Earn your own professional certificate on completion of this course.
• Includes-  51 Hands-on labs experience - over 36 hours of time, 49 Exercises in this course, 114 Pre Recorded Videos, More than 292 Knowledge checks.
• Create AI-based Customer Care Chatbot.

How does it work?

The course comprises 5 modules, each with its own goals, content, and end results. The goal is to have you become proficient in using a particular data modeling technique by the end of the course.

What are the Recommended skills prior to taking this course?

• This course is hands-on and you will learn by doing. We will use the Jupyter notebook for all the programming assignments. You have to do a hands-on lab for this course. The tool that you use for hands-on is called Jupyter and it is one of the most popular tools used by data scientists. If you are not familiar with Jupyter, I would recommend that you take our free Data Science Hands-on with Open Source Tools.
• This hands-on lab requires that you have working knowledge of the Python programming language as it applies to data analytics. We will be using the pandas and NumPy libraries for this course. If you don't feel that you have sufficient skill in Data Analysis with Python, I recommend you take the Data Analysis with Python courses first.