Machine Learning Mastery (Integrated Theory+Practical HW) Free Download
Data Science,Machine Learning, Predictive Analytics, Python, Handson
What you’ll learn
- Have an in-depth understanding of the concepts of Machine Learning
- Be able to grasp, understand, and write machine learning code from scratch
- Use Builtin Libraries available to build machine learning models
- Be able to analyze, build, and assess models on any dataset
- Be able to interpret and understand the black box behind model
- Understand the applications of data science by exhibiting the ability to work on different datasets and interpreting them.
Requirements
- No Such Pre-req, its good to have some basic math concepts
Description
This course introduces students to this rapidly growing field and equips them with its most fundamental principles, tools, and mindset.
Students will learn the theories, techniques, and tools they need to deal with various datasets. Students will be issued with tutorials and explanation of all the exercises to help you learn faster and enable you to link theory using hands on exercises.
This course teaches advanced theory including some mathematics with practical exercises to promote deeper understanding.
Learning Outcomes
At the end of the course the students will:
- Have an in-depth understanding of the concepts of Machine Learning
- Be able to grasp, understand, and write machine learning code from scratch
- Use Builtin Libraries available to build machine learning models
- Be able to analyze, build, and assess models on any dataset
- Be able to interpret and understand the black box behind model
- Understand the applications of data science by exhibiting the ability to work on different datasets and interpreting them.
What is the working system of this course?
- Strong concepts and theory linked to practical at the end of each module
- Easy Lectures for those starting from scratch
- Illustration and examples
- Hands-on exercises with tutorials
- Detailed explanations of how models work
After completing the course, you will have enough knowledge and confidence to code machine learning algorithms from scratch and to use built-in library. This course is for all interested in learning data science and machine learning, there is no such pre req. It exposes you to practical real world datasets to work on and get started with new problems.
Who this course is for:
- Curious about Data Science
- People wishing to learn Machine Learning from scratch
- People of different domains – Business Analyst, Marketing, etc
- Seeking job in the areas of machine learning