Machine Learning Internship - I null

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 skillset 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 tidy models 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 sparkly 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