Mini Bootcamp: Machine Learning With R

• Module 1 – Machine Learning vs Statistical Modeling & Supervised vs Unsupervised Learning
  1. Machine Learning Languages, Types, and Examples
  2. Machine Learning vs Statistical Modeling
  3. Supervised vs Unsupervised Learning
  4. Supervised Learning Classification
  5. Unsupervised Learning
• Module 2 – Supervised Learning I
  1. K-Nearest Neighbors
  2. Decision Trees
  3. Random Forests
  4. Reliability of Random Forests
  5. Advantages & Disadvantages of Decision Trees
• Module 3 – Supervised Learning II
  1. Regression Algorithms
  2. Model Evaluation
  3. Model Evaluation: Overfitting & Underfitting
  4. Understanding Different Evaluation Models
• Module 4 – Unsupervised Learning
  1. K-Means Clustering plus Advantages & Disadvantages
  2. Hierarchical Clustering plus Advantages & Disadvantages
  3. Measuring the Distances Between Clusters – Single Linkage Clustering
  4. Measuring the Distances Between Clusters – Algorithms for Hierarchy Clustering
  5. Density-Based Clustering
• Module 5 – Dimensionality Reduction & Collaborative Filtering
  1. Dimensionality Reduction: Feature Extraction & Selection
  2. Collaborative Filtering & Its Challenges

Start learning the R with Machine Learning with outside of business hours schedule!
The 12 hours of schedule is as follows:
March 14 – 21 – 28 and April 4
Saturdays, from 2:00 pm to 5:00 pm

Machine Learning with R Mini Bootcamp is now also available online. Anyone who wants to attend this mini bootcamp can join online live webinars where the same course content will be taught. Online sessions will be distributed through zoom conferences. Students will have access to the screen of the instructor, external camera showing class atmosphere, whiteboard, and be able to ask questions through chat. You may attend this mini bootcamp no matter where you are.

Tuition fee

Regular: $[woocommerce_regular_price id=”7236″]

Early Bird: $[woocommerce_price id=”7236″] (between [woocommerce_price_on_sale_from id=”7236″] – [woocommerce_price_on_sale_to id=”7236″])

Payment process

After you finish filling your application form, the website will direct you to the payment page. There, you can select available payment options.

Cancellation

If you’re not satisfied with the course you may cancel your application.