ML with Python

Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More

500+ Students Enrolled
4.4 Rating (325) Ratings

What You'll Learn

  • Learn Machine Learning Engineers earn on average $166,000 - become an ideal candidate with this course
  • Learn Solve any problem in your business, job or personal life with powerful Machine Learning models
  • Learn Train machine learning algorithms to predict house prices, identify handwriting, detect cancer cells & more
  • Learn Go from zero to hero in Python, Seaborn, Matplotlib, Scikit-Learn, SVM, unsupervised Machine Learning etc
  • Learn Start coding in Python and learn how to use it for statistical analysis
  • Learn Carry out cluster and factor analysis.

Course Content

  • Introduction To Machine Learning using Python. Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed
  • Introduction to Regression
  • Simple Linear Regression
  • Model Evaluation in Regression Models
  • Evaluation Metrics in Regression Models
  • Evaluation Metrics in Regression Models
  • Non-Linear Regression
  • Introduction to Classification
  • K-Nearest Neighbours
  • Evaluation Metrics in Classification
  • Introduction to Decision Trees
  • Intro to Logistic Regression
  • Logistic regression vs Linear regression
  • Logistic Regression Training
  • Support Vector Machine
  • Intro to Clustering
  • Intro to k-Means
  • More on k-Means
  • Intro to Hierarchical Clustering
  • More on Hierarchical Clustering
  • Logistic regression vs Linear regression
  • Logistic Regression Training
  • DBSCAN
  • Intro to Recommender Systems
  • Content-based Recommender Systems
  • Collaborative Filtering
Web Development

  This Course includes

  Tutorials

  Articles, Videos

  Full Time Lectures

  Real Scenarios

  Project Work

  Certification of Completion

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