Machine learning using R Language
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Machine learning using R Language

Machine learning using R Language

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215 Spadina Ave

215 Spadina Avenue #400

Toronto, ON M5T 2C7

Canada

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Machine learning studies computer algorithms for learning to do stuff. Introduction to Machine Learning with R, is aimed at starters new to the language who may or may not have experience with other programming languages. In this talk you will learn the main concepts of R programming like variables, data types, loops and conditional statements. This course also gives you a rapid introduction to some R packages. The learning that is being done is always based on some sort of observations or data, such as examples…direct experience, or instruction. So in general, machine learning is about learning to do better in the future based on what was experienced in the past.

List of Common Machine Learning Algorithm we will touch on

  1. Linear Regression

  2. Logistic Regression

  3. Decision Tree

  4. SVM

  5. Naive Bayes

  6. KNN

  7. K-Means

  8. Random Forest

  9. Dimensionality Reduction Algorithms

  10. Gradient Boost & Adaboost

Whether or not you have experience with R, Pyton or no experience you are welcome to join us for the introduction to R Programing Language. R provides many packages and has a vast community of support so come and join us


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215 Spadina Ave

215 Spadina Avenue #400

Toronto, ON M5T 2C7

Canada

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