Machine Learning with Python

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About Course

This super effective course has been designed by our highly expert faculties for Machine Learning aspirants, who want to build their base around Artificial Intelligence. It’s widely acknowledged that AI represents the future of humanity, and this course is designed to provide you with a solid kickstart in that direction.

By pursuing this course, you will shape a strong understanding about machine learning concepts, such as supervised (classification & regression) and unsupervised learning (clustering), and their applications in the real world. 

Our lab exercises associated with each concept will facilitate the students with better understanding and digesting the information they have gained during video lessons. 

Please check the details of the course for the contents being offered.

 

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What Will You Learn?

  • Describe the various types of Machine Learning algorithms and their usages.
  • Demonstrating various classification, regression and clustering techniques, such as, K-nearest neighbors, SVM, Simple and Multiple linear regressions, k-means clustering etc, and comparing them.
  • Lab exercises to write Python code that implements various classification techniques, regression and clustering techniques.
  • Various evaluation metrics used for classification and improvising the performance of your model.

Course Content

Introduction to Machine Learning
Introduction to Machine Learning

  • Introduction to Machine Learning
    02:39

Supervised vs Unsupervised Learning
Supervised vs Unsupervised Learning

Classification
Classification

Regression
Regression

Clustering
Clustering

Final Quiz
Final Quiz

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