Course description

Interested in the field of Machine Learning? Then this course is for you!

This course has been designed by a Data Scientist and a Machine Learning expert so that we can share our knowledge and help you learn complex theory, algorithms, and coding libraries in a simple way.                                                                                                                                                                                                                                                      We will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

This course can be completed by either doing either the Python tutorials.

This course is fun and exciting, and at the same time, we dive deep into Machine Learning.

What will i learn?

• Perform powerful data analysis to uncover meaningful insights
• Build highly accurate prediction systems for real-world problems
• Design robust and scalable Machine Learning models
• Apply Machine Learning for personal, academic, and business use cases
• Create an ensemble of powerful ML models and learn how to combine them to solve complex problems
• Classify and analyze data using K-Means Clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA
• Clean, preprocess, and optimize datasets by handling missing values and removing outliers

Frequently asked question