Machine Learning and Data Science with Python: A Complete Beginners Guide

In this 10-hour course, discover the foundational concepts of machine learning and data science using Python. Tailored for beginners, you'll follow practical steps to build predictive models and analyze data effectively, gaining a strong footing in one of the most sought-after fields in technology today.

What I will be able to do after this course

• Understand how to set up the Python environment for data science
• Learn to prepare datasets for machine learning models
• Explore various machine learning algorithms and techniques
• Gain insights into optimizing and tuning model performance
• Create workflows using pipelines for efficient data analysis

Course Instructor(s)

Abhilash Nelson, your instructor for this course, is an experienced professional in the domains of machine learning and data science. He has a unique approach to teaching, focusing on practical implementations while breaking down complex concepts into manageable steps. With a passion for empowering learners, Abhilash provides clear and engaging instruction that ensures you grasp the essentials of Python-based data science.

Who is it for?

This course is ideal for those new to programming and interested in machine learning and data science, who seek to build a foundational understanding of these topics. No prior experience with Python or machine learning is required. Learners looking to prepare for a career in the growing fields of machine learning or data science will find this course immensely beneficial. Whether you're a fresh graduate or a professional exploring a career pivot, this course offers a clear starting point.