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Discover a new way of learning

Machine Learning

Master Machine Learning with algorithm development and various other relevant techniques. Learn in-depth about the growing field of Machine Learning!

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10 live projects + 1 capstone project

36+ hours of video content access

Weekly tasks and reports

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.

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Statistics fundamentals

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  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
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ML with Python

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  1. Applications of Machine Learning
  2. Supervised vs Unsupervised Learning
  3. Python libraries suitable for Machine Learning
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Regression

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  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
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Classification

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  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
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Clustering

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  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
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Recommender systems

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  1. Content-based recommender systems
  2. Collaborative Filtering

Meet our team of creative experts

Meet the talented and creative minds behind our work. Our mentors bring a wealth of experience and a passion for innovation to every mentorship course.

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Ranjana Chawla

UI Designer

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Ranjana Chawla

UI Designer

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Ranjana Chawla

UI Designer

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Teachnook Certificate

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

Pricing Plans

Experience 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.

Self Paced

₹5500

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Certificate for Course Completion

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10 live projects + 1 capstone project

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Course Certificate

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24+ hours of video content access

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6 Months LMS Access

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10+ hours of Mentor Training

Mentor Led

₹7500

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Certificate for Course Completion

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10 live projects + 1 capstone project

priceplanpoint

Course Certificate

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36+ hours of video content access

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6 Months LMS Access

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24+ hours of Mentor Training

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?

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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.

What are the requirements for the classes?

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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.

Who do I contact for more information regarding the course?

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

What are the possible career options for Machine Learning?

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

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