Machine Learning
Learn in-depth about the growing field of Machine Learning with algorithm development and various other relevant techniques. Master Machine Learning fundamentals to enhance the online and offline user experiences.
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Machine Learning
Learn in-depth about the growing field of Machine Learning with algorithm development and various other relevant techniques. Master Machine Learning fundamentals to enhance the online and offline user experiences.
Request a Callback
Minor and Major Projects
Weekly assignments and progress reports
20+ hours of live sessions
Certificate of completion
Minor and Major Projects
Weekly Assignments
20+ hours of live sessions
Certificate of completion
Request a Call Back
Overview
With an abundance of application 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 Machine Learning.
NLP
Python
Recommender Systems
Boosting Algorithms
Course Curriculum
Statistics fundamentals
- Graphically Displaying Single Variable
- Measures of Location
- Measures of Spread
- Covariance and Correlation
- Probability
- Joint Probability and independent events
- Conditional probability
- Bayes’ Theorem
ML with Python
- Applications of Machine Learning
- Supervised vs Unsupervised Learning
- Python libraries suitable for Machine Learning
Regression
- Training and Testing
- Forecasting and Predicting
- Theory and how it works
- program the Best Fit Slope
- program the Best Fit Line
- R Squared and Coefficient of Determination Theory
- Model evaluation methods
Classification
- Introduction
- Applying K Nearest Neighbors to Data
- Euclidean Distance theory
- Decision Trees
- Regression Trees
- Random Forests
- Boosting Algorithm
- Principal Component Analysis
- Linear Discriminant Analysis
Clustering
- Handling Non-Numerical Data for Machine Learning
- K-Means with Titanic Dataset
- K-Means from Scratch in Python
- Finishing K-Means from Scratch in Python
- Hierarchical Clustering with Mean Shift Introduction
Recommender systems
- Content-based recommender systems
- Collaborative Filtering
Certificates
Teachnook Certificate
Upon successfully completing this course, you will receive a certificate of completion that helps potential employers assess your proficiency.
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Pricing Plans
Self Paced
₹ 5500
Certificate for Course Completion
1 Minor and 1 Major project
Course Certificate
25+ hours of Video Content Access
6 Months LMS Access
16+ hours of Mentor Training
Mentor Led
₹ 7500
Certificate for Course Completion
1 Minor and 1 Major project
Course Certificate
25+ hours of Video Content Access
6 Months LMS Access
16+ hours of Mentor Training
Self Paced
₹ 5500
Certificate for Course Completion
1 Minor and 1 Major project
Course Certificate
25+ hours of Video Content Access
6 Months LMS Access
16+ hours of Mentor Training
Mentor Led
₹ 7500
Certificate for Course Completion
1 Minor and 1 Major project
Course Certificate
25+ hours of Video Content Access
6 Months LMS Access
16+ hours of Mentor Training
FAQs
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@teachnook.com 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.