ML-Workshop

Content of workshops on Machine Learning conducted by TechNeurons

Content Covered

• Libraries used: Numpy, Matplotlib, Pandas, Scikit-learn
• Machine Learning Algorithms to be covered:
  • Clustering: K-means clustering
  • Classification :KNN classification and Naive-Bayes Classifier
  • Regression: Linear regression and Logistic regression
  • Deep Learning: Simple Neural-Network

Day-wise content covered

• Day 1 :

  • Python overview with cheatsheets
  • Library Basics:
    • Numpy

• Day 2 :

  • Library Basics:
    • Matplotlib
    • Pandas

• Day 3 :

  • Clustering Basics
  • Clustering Types
  • Kmeans Clustering with python code
  • A brush-up of different types of clustering

• Day 4 :

  • Supervised Learning intro
  • Classification basics
  • KNN Classification

• Day 5 :

  • Supervised Learning methods
  • Regression methods introduction: Linear and Logistic Regression
  • Classification methods introduction: Naive-Bayes Classifier and Decision trees

• Day 6 :

  • Neural Network
  • Perceptron
  • Activation functions
  • Simple ANN using Keras

Hey There! This is just the start. Stay tuned! :)