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Machine Learning

Machine Learning(180Hrs)

Introduction to Machine Learning

  • Statics & Probability
  • Supervised Learning
    1. Linear Regression
    2. Logistic Regression
    3. Decision Tree
    4. Random Forest
    5. Naive Bayes
    6. K-Nearest Neighbours (KNN)
    7. Support Vector Machine(SVM)
  • Unsupervised Learning
    1. K-Means Clustering
    2. Hierarchical Clustering
    3. Association rule Mining
    4. Apriori
  • Reinforcement Learning
    1. Q learning
    2. SARSA
  • Natural Language Processing and Text Mining
  • Introduction to Deep Learning
  • Time Series Analysis

 

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