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Machine Learning

Machine Learning

Curriculum- 28 Modules
Duration- 2 Months

Price:    9999 7999/-

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Course Description:

Machine learning is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead.

About Machine Learning

Life Cycle of Machine Learning

Important libraries and tools

  • Anaconda
  • Numpy
  • Pandas
  • Sklearn
  • Matplotlib

Types of Machine Learning

Supervised Learning:

  • Linear Regression Algorithm
  • Use case of Linear Regression (Practical)
  • Logistic Regression Algorithm
  • Use case of Logistic Regression (Practical)
  • Decision Tree Algorithm
  • Use case of Decision Tree (Practical)
  • Random Forest Algorithm
  • Use case of Random Forest (Practical)
  • KNN algorithm
  • Use case of KNN (Practical)
  • Support Vector Machine Algorithm
  • Use case of SVM (Practical)
  • Naive Bayes Algorithm
  • Use case of Naive Bayes (Practical)

Unsupervised Machine Learning:

  • K-Means Algorithm
  • Use case of K-Means (Practical)
  • Association Rule Mining
  • Use case of ARM

Advance Concept:

  • ANN Algorithm
  • Use Case of ANN

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