Unlock a whole new dimension of learning!

Machine Learning

Master Machine Learning by diving into algorithm development and advanced techniques.
Explore the rapidly evolving field and its real-world applications.
Gain hands-on experience with cutting-edge tools and frameworks.
Empower your career with expertise in Machine Learning!

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10 live projects + 1 capstone project

Weekly tasks and reports

40+ hours of video content access

Certificate of completion
Overview

Learn Machine Learning today

With an abundance of applications and scope, Machine learning is an exciting branch of Artificial Intelligence to hone your skills in. Many of today’s most fascinating technology developments are possible due to Machine Learning.

 
NLP
Python
Recommender Systems
Boosting Algorithms
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Course Curriculum

Discover our comprehensive machine learning course curriculum, designed to provide in-depth knowledge and practical skills.

 
Statistics fundamentals
  1. Graphically Displaying Single Variable
  2. Measures of Location
  3. Measures of Spread
  4. Covariance and Correlation
  5. Probability
  6. Joint Probability and independent events
  7. Conditional probability
  8. Bayes’ Theorem.
  1. Applications of Machine Learning
  2. Supervised vs Unsupervised Learning
  3. Python libraries suitable for Machine Learning.
  1. Training and Testing
  2. Forecasting and Predicting
  3. Theory and how it works
  4. program the Best Fit Slope
  5. program the Best Fit Line
  6. R Squared and Coefficient of Determination Theory
  7. Model evaluation methods.
  1. Introduction
  2. Applying K Nearest Neighbors to Data
  3. Euclidean Distance theory
  4. Decision Trees
  5. Regression Trees
  6. Random Forests
  7. Boosting Algorithm
  8. Principal Component Analysis
  9. Linear Discriminant Analysis.
  1. Handling Non-Numerical Data for Machine Learning
  2. K-Means with Titanic Dataset
  3. K-Means from Scratch in Python
  4. Finishing K-Means from Scratch in Python
  5. Hierarchical Clustering with Mean Shift Introduction.
  1. Content-based recommender systems
  2. Collaborative Filtering.
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Edu-Station Certificate

Upon successfully completing this course, you will receive a certificate of completion that helps potential employers assess your proficiency.

Pricing Plans

LExperience the premium features at an affordable price. Get industrial experience, 10+ live working projects and mentorship from top 1 percentile mentors and much more. Choose the plan that suits your needs and take your practical and outcome based learning to the next level. Join today and lead tomorrow.

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FAQs

Explore our FAQ section for quick answers to common questions. Can’t find what you’re looking for? Contact us for assistance.

Are there any necessary prerequisites for this course?

No, there are no specific prerequisites for this course. The course is structured in a manner that covers the very basics of the topics as well. So if you’re a complete beginner, this is a great course to start with.

You’ll need a secure and stable internet connection on a well functioning device such as a laptop or mobile phone. We also recommend keeping a notepad and pen/pencil alongside to jot down notes.

You can get in touch with us via email – support@edustation.co.in or call us at the phone number provided in the ‘Contact Us’ section.

Some options are – Software Engineer, Software Developer,Computational Linguist and Artificial Intelligence Engineer.

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