Machine Learning

MACHINE LEARNING

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Introduction of Machine Learning

  • What is Machine Learning
  • Install Python and Anaconda
  • Installing packages: numpy, pandas, matplotlib, scikit-learn

Python

  • Introduction to Python
  • Flow Control (If, for, while) Statements
  • Data Structures
    • Numbers
    • Lists
    • Tuples
    • Dictionary
    • Strings
  • Functions and classes in Python

Numpy

  • Ndarray Object
  • Data Types in Numpy
  • Array Attributes and Manipulation in Numpy
  • Indexing & Slicing

Scikit-Learn

  • Regression
    • Simple Linear Regression
    • Multiple Linear Regression
    • Support Vector Regression
    • Decision Tree Regression
    • Random Forest Regression
  • Classification
    • Support Vector Classification(SVM)
    • K - Nearest Neighbour Algorithm(KNN)
    • Naive Bayes Classification
    • Decision Tree Classification
    • Random forest Classification
  • Clustering
    • K-means Clustering Algorithm
    • Hierarchical clustering

Deep Learning

  • Artificial Neural Network
  • Convolutional Neural Network

Project

  • Iris Flower Classification
  • Boston House Price Prediction
  • Mall Costumers Clustering
  • Image Classification
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  • Exposure with Industry Experts.
  • Hands on Practice.
  • Certificate of Participation by All India Council for Machine Learning & Automation
  • Free AICRA student membership.