Machine Learning - From Beginning to intermediate | Event in NA | Townscript
Machine Learning - From Beginning to intermediate | Event in NA | Townscript

Machine Learning - From Beginning to intermediate

Jun 15'21 - Jun 01'22 | 04:00 PM (IST)
Online Event

Event Information

{Python course worth INR 400 is free with this course}

Why participate in this event?

Machine Learning and AI are the important skills that a developer should possess.
But why is our event special? There are many courses available in the market which teaches the same thing in python?
These are the reasons,
  1. The courses that are available in the market are overpriced, they charge a lot of money from the students/learners for limited time availability(6 months/7 months).
  2. We don't only provide resources like blogs and videos, rather we have created our own python e-books and handbooks that can be helpful for your lifetime.
  3. Our video explanations will be given on google drive, you can make a playlist of your own for the lifetime. No need to worry about the expiry of courses.
  4. We provide a chance to get hands-on experience at our GitHub projects which are open-sourced. If you perform better, there is a chance to win some swags and join us as an intern.
  5. Unlike traditional python syntax-based learning, we try to give an insight into why rather than how. For example, consider a simple question, why should we declare "self" as a parameter in every member function of a class. This is rather simple, but many of you might not know why.


What we will study?

  1. Vectors, Matrices and Arrays(advanced python programming)
  2. Loading data, dataframe manipulation
  3. Feature Scaling
  4. Feature Transformation & Handling Outliers
  5. Missing Data, RobustScaler methods 
  6. Categorical Data
  7. Categorical Data Handling 
  8. Imputer Class and Usages
  9. Text Data Handling
  10. Date and Time Data Handling 
  11. Dimensionality Reduction
  12. PCA (with derivation)
  13. Feature Extraction - NMF and TSVD
  14. Feature Selection
  15. Linear Regression
  16. Polynomial Regression
  17. Ridge and Lasso Regression
  18. Logistic Regression
  19. Decision Trees
  20. Naive Bayes
  21. Random Forest
  22. Support Vector Machine
  23. Model Selection Techniques
  24. Cross Validation & Metrics
  25. 7+ projects
  26. Live doubt sessions


Venue

This is an online event
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AI To School
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At AI to School, we provide cutting-edge AI education tools and resources to empower students and teachers with the skills needed for a technology-driven future.
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