learndataa

Learndataa Curriculum

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”

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)”

Image Data Augmentation

Outline of the post: What is Image Data Augmentation? Image data of clouds and sun (hand drawn) Code to augment an image in Python What is Image Data Augmentation? Image data augmentation is a technique to create copies of altered original images. Thus increase the amount of data to train a model. This additional dataContinue reading “Image Data Augmentation”

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”

Standardize a dataset. When and why?

Standardization is done to bring features of vastly different magnitudes into a similar range. In this post you will learn: When to standardize a data set for machine learning? How to use Scikit-learn’s preprocessing tools: .scale() .StandardScaler() Introduction “Standardization of datasets is a common requirement for many machine learning estimators implemented in scikit-learn.” – Scikit-learn Distance based machineContinue reading “Standardize a dataset. When and why?”

Data in our lives

There is 40 zettabytes or 40 trillion gigabytes of data in the world today, year 2020! The volume of data is increasing at a faster rate than ever before. We create 2.5 quintillion bytes of data each day1 !!! i.e. equivalent of 2.5 million billion 1 terabyte hard drives. The world internet population has increasedContinue reading “Data in our lives”