Hands-on ML using Python is a comprehensive course on machine learning. It explains the basic statistics and programming that are required to work on machine learning problems. The course explains the basics of Python programming and the various packages required for machine learning. It also covers statistical distributions and explains the various types of data you will need to work with.
The course then teaches you a type of machine learning called reinforcement learning. Reinforcement learning has applications in game development, smart assistants, recommendation systems, and in industries as varied as finance, oil and gas, etc. The course will explain reinforcement learning using a real world case study to ensure that learning is practical and hands-on.
Innovative, Research Oriented, Quality Minded and result oriented Disruptive Data Scientist with 26+ years of experience executing data-driven analytical solutions to increase efficiency, accuracy and utility of internal data processing. Master in Experiential Learning methodology. Experienced at creating predictive data models, BeSpoke ML/DL algorithms for efficient AI and analyzing data mining algorithms to deliver insights and implement action-oriented solutions to complex business problems
Ratings
Reviews
Students
Courses
"The course provided a solid foundation in Python for ML."
"I was hesitant at first due to my lack of programming knowledge, but the course was well-paced. The explanations were clear, making it easy."
"I found the course valuable in starting my journey into ML with Python."
"More breakdowns of complex concepts would have been beneficial."
"The course boosted my confidence in understanding Python for machine learning purposes."
"I liked the way the course was structured. "
"I appreciated the practical examples in the course. "
"As a beginner in programming, this course provided a good introduction to machine learning."
"The course explained complex concepts in a simple manner. "