lotkun / ML-Bootcamp

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ML-Bootcamp

Machine Learning bootcamp series is a Code for Cause initiative that will run over 30 days where various machine learning topics will be covered, libraries and some projects developed.

Day 1 - Introduction

  • Introduction to Machine Learning
  • ML pipeline (about X, y; data cleaning, what is an algorithm and model, etc)
  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning

Day 2 - Image Processing with NumPy and OpenCV

  • Introduction to Numpy
  • Importing and displaying Images
  • Altering images by RGB layers
  • Loading camera feed OpenCV
  • Detecting faces with OpenCV

Day 3 - Data Visualisation & Outlier Detection with Seaborn

  • Generating data with Numpy and sklearn
  • Plotting data with matplotlib
  • Several plots of matplotlib and seaborn
  • Visual representation of outliers with seaborn

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