Machine Learning with Python: SVM,Kmeans,KNN,LinReg,PCA,DBS

Machine Learning with Python: SVM,Kmeans,KNN,LinReg,PCA,DBS

What you’ll learn

  • Applications of Machine Learning to various data, Unsupervised Learning, Supervised Learning

The course contents are given below:

  • Introduction to Machine Learning
  • Introductions to Deep Learning
  • Installations
  • Unsupervised Learning
  • Clustering, Association
  • Agglomerative, Hands-on
  • DBSCAN, Hands-on
  • Mean Shift, Hands-on
  • K Means, Hands-on
  • Association Rules, Hands-on
  • (PCA: Principal Component Analysis)
  • Supervised Learning
  • Regression, Classification
  • Train Test Split, Hands-on
  • k Nearest Neighbors, Hands-on
  • kNN Algo Implementation
  • Support Vector Machine (SVM), Hands-on
  • Support Vector Regression (SVR), Hands-on
  • SVM (non linear svm params), Hands-on
  • SVM kernel trick, Hands-on
  • SVM mathematics
  • Linear Regression, Hands-on
  • Gradient Descent overview
  • One Hot Encoding (Dummy vars)
  • One Hot Encoding with Linear Regr, Hands-on
  • Info about Datasets

How to Enroll Machine Learning with Python: SVM,Kmeans,KNN,LinReg,PCA,DBS course?

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