The Learndataa Curriculum offers a structured, mentorship-based journey in data analytics and machine learning from beginner fundamentals to the mathematical foundations of AI. Developed and taught through 1-on-1 and small-group live sessions, these courses emphasize hands-on learning, clear reasoning, and real-world applications.All core content is freely available on YouTube for self-learners, with personalized mentorship availableContinue reading “Learndataa Curriculum”
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Webinar: What is Data Science, AI, ML?
Last day of registration: May 31, 2024 Register Online Hosted by:Dr. Nilesh Ingle, Ph.D. Freelancer, YouTuberFounder http://www.learndataa.comNagpur, IndiaAlumni North Carolina State University, Raleigh, NC, USAAlumni University University of North Carolina, Chapel Hill, NC, USAPostdoc Alumni, Virginia Tech, Blacksburg, VA, USAPostdoc Alumni, University of Minnesota, MN, USA Email: learndataa@gmail.com http://www.youtube.com/c/learndataa
Partial Least Squares (PLS-W2A algorithm)
Outline of the post: This post shows an implementation of the PLS-W2A algorithm from in Python using the source code from Scikit-learn docs. Partial Least Squares method can be used in datasets that have collinear features such as shown in figure above. [Check out videos: 1, 2, and project] References: (1) Jacob A. Wegelin. AContinue reading “Partial Least Squares (PLS-W2A algorithm)”
Data Preprocessing: Whitening or Sphering in Python
Outline of the post: What is Whitening or Sphering? Why? Steps to Whiten a dataset Mathematical intuition Implementation of Whitening in Python What is Whitening or Sphering? Why? “A whitening transformation or sphering transformation is a linear transformation that transforms a vector of random variables with a known covariance matrix into a set of new variables whose covariance is the identity matrix, meaning that they are uncorrelated andContinue reading “Data Preprocessing: Whitening or Sphering in Python”
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