Machine Learning Internship/Training

Machine Learning with R Internship/Training is a self paced 4 week Industrial Training program with mentorship support.

Program Description

Master the essential skills to land a job as a machine learning scientist! You’ll augment your R programming skill set with the toolbox to perform supervised and unsupervised learning. You’ll learn how to process data for modeling, train your models, visualize your models and assess their performance, and tune their parameters for better performance. In the process, you’ll get an introduction to Bayesian statistics, natural language processing, and Spark.

What we cover in 4 weeks.

Week 1 – 3

Supervised Learning in R: Classification

Supervised Learning in R: Regression

Unsupervised Learning in R

Machine Learning in the Tidyverse

Intermediate Regression in R

Cluster Analysis in R

Machine Learning with Caret in R

Modelling with tidymodels in R

Machine Learning with Tree-Based Models in R

Support Vector Machines in R

Fundamentals of Bayesian Data Analysis in R

Topic Modelling in R

Hyperparameter Tuning in R

Bayesian Regression Modelling with rstanarm

Introduction to Spark with sparklyr in R

Week 4

Capstone Project

Program Benefits

Certificate of Completion

Letter of Recommendation

Complete this course while you work

Rigorous curriculum designed by industry experts

Best performers will also be offered a job within the company

Job Category: Data Analysis
Job Type: Internship/Training
Job Location: Remote

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