Machine Learning for Beginner

Machine Learning for Beginner

What you’ll learn

  • Fundamental of Machine Learning; Introduction, types of machine learning, applications
  • Supervised, Unsupervised and Reinforcement learning
  • Principal Component Analysis (PCA); Introduction, mathematical and graphical concepts
  • Confusion matrix, Under-fitting and Over-fitting, classification and regression of machine model
  • Support Vector Machine (SVM) Classifier; Introduction, linear and non-linear SVM model, optimal hyperplane, kernel trick, project in Python
  • K-Nearest Neighbors (KNN) Classifier; Introduction, k-value, Euclidean and Manhattan distances, outliers, project in Python
  • Naive Bayes Classifier; Introduction, Bayes rule, project in Python
  • Logistic Regression Classifier; Introduction, non-linear logistic regression, sigmoid function, project in Python
  • Decision Tree Classifier; Introduction, project in Python

How to Enroll Machine Learning for Beginner course?

  • To Access "Machine Learning for Beginner" Click on Enroll Now button at end of the post. It will redirect you to Udemy Course Page and then you can start the enrollment process.
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  • How many members can access this course with a coupon?

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