About Course
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Machine Learning skills you will learn
Machine Learning
Modeling
Supervised Learning
Unsupervised Learning
Python
Regression Analysis
Linear Regression
Course Curriculum
Module 1: Machine learning using Python
1.1 Introduction to Machine Learning
1.2 Types of Machine Learning
1.3 What can you do with Machine Learning?
1.4 Machine Learning Demo
Module 2: Supervised Learning Algorithm in Python
2.1 Introduction to Regression
2.2 Step by Step calculation of Linear Regression
2.3 Linear Regression in Python
2.4 LINEAR REGRESSION DEMO
2.5 Step by Step Calculation of Logistic Regression
Certificate
FAQ's
Who can take up this Machine Learning course?
Firstly, anyone willing to learn and understand what Machine Learning is can take up this course. However, the people who will be most benefited by this course are professionals such as Analytics Manager, Business Analyst, Information Architect Developer.
Is any prior knowledge required for this Machine Learning course?
Since this is a foundational course, no prior knowledge is required. However, a decent level of interest and knowledge in Mathematics and Statistics will be an added advantage.
How much time and effort is required in this Machine Learning course?
You need to be sincere and dedicated enough to complete this course. If done properly and without any disturbance in between, the course can easily be completed in 5 hours. Further, you can revise the concepts for better understanding with the help of the lifetime access benefit provided with this free course.
What are the potential career opportunities after completing this course?
There are many evolving job roles related to machine learning such as data scientist, data analyst, Machine Learning engineer, or AI engineer. Many companies are seeking skilled candidates in this domain for their AI-powered projects. With the rapid growth of machine learning in every area, the future looks promising.
