Fundamentals of Machine Learning with Python Implementation.

Fundamentals of Machine Learning with Python Implementation.

Learn Fundamentals of Machine Learning from scratch to make students well equipped with all basics and math involved

What you’ll learn

  • Use Python for Data Science and Machine Learning
  • Implement Machine Learning Algorithms
  • Handle advanced techniques like Dimensionality Reduction
  • Know which Machine Learning model to choose for each type of problem
  • Basics of Reinforcement Learning
  • Linear Regression
  • Logistic Regression
  • Clustering
  • SVM
  • Neural Network Concept
  • Random Forest
  • PCA and SVD

Requirements

  • Basics of python programming
  • Linear algebra (understanding of matrices)
  • Differential calculus (optional)
Who this course is for:
  • Anyone interested in Machine Learning.
  • Students who want to start learning Machine Learning.
  • Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.
  • Any students in college who want to start a career in Data Science.
  • Any computer science student hoping to broaden their skillset
  • Anyone interested in Machine Learning Including business leaders, managers, app developers, consumers – you!
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