What you'll you learn?
- Time series modeling
- Linear and logistic regression
- Kernel SVM
- KMeans clustering
- Naive Bayes
- Decision tree
- Random forest classifiers
- Boosting and Bagging techniques
Key features
- This Machine Learning course requires an understanding of basic statistics and mathematics at the college level.
- Familiarity with Python programming is also beneficial.
- You should understand these fundamental courses including Python for Data Science, Math Refresher, and Statistics Essential for Data Science, before getting into the Machine Learning online course.
This Machine Learning course offers an in-depth overview of Machine Learning topics including working with real-time data, developing algorithms using supervised & unsupervised learning, regression, classification, and time series modeling. Learn how to use Python in this Machine Learning certification training to draw predictions from data.
The Executive Programme in Machine Learning, provides a cutting-edge curriculum designed with an emphasis on the tools and techniques used for handling, managing, analysing and interpreting data and applying them on real-time business use cases. This intensive six-month programme is delivered via engaging live online sessions and a three-day on-campus immersion at the campus. Joining this programme will help you build a robust foundation in practical business decision-making using statistics and in-demand data science tools and techniques using Excel and R, and expertise on machine learning..
Educadmy Admin
Jerome Guionnet
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