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I love learning and exploring new things

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.

And that is what I like about it.

After years of writing codes to manipulate patterns found in data, I came across this new inverse approach of computer programs that can access data and use it to learn for themselves.

This notebook records my small footsteps in exploring the vast domain of machine learning.

My Work

Concepts
  1. Linear Discriminant Analysis
  2. Principal Component Analysis
Models
  1. Fashion MNIST Classification using Keras (GitHub project link - here)
  2. Text Classification for Movie Reviews (GitHub project link - here)
  3. Single Layer Neural Network from Scratch
Data Science Analysis
  1. Anime Recommendations by Genre
  2. Baby Names Analysis

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