MACHINE LEARNING WITH R
The global machine learning market is expected to grow from USD 1.41 Billion in 2017 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1%.
The global machine learning market is expected to grow from USD 1.41 Billion in 2017 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1%.
According to naukri.com there are more than 8000 jobs in India. The salary of a Machine Learning Engineer is much higher than the salaries offered to other job profiles.
Entry-level Engineer earns around ₹8,00,000 per annum. When they go to the mid-level, the engineer's average salary is ₹15,00,000 per annum. Senior engineer earns more than ₹28,00,000 per annum
Apple, Dell, Bosch, Amazon, HCL, Flipkart, IBM India, Cognizant Technology, Genpact
this course will introduce you to the basics of R programming. You can better retain R when you learn to solve a specific problem, so you'll use a real-world dataset about crime in the United States. You will learn the R skills needed to answer essential questions about differences in crime across the different states. We'll cover R's functions and data types, then tackle how to operate on vectors and when to use advanced functions like sorting. You'll learn how to apply general programming features like "if-else," and "for loop" commands, and how to wrangle, analyze and visualize data. Rather than covering every R skill, you might need, you'll build a strong foundation to prepare you for the more in-depth courses later in the series, where we cover concepts like probability, inference, regression, and machine learning. We help you develop a skill set that includes R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux, version control with git and GitHub, and reproducible document preparation with RStudio. The demand for skilled data science practitioners is rapidly growing, and this series prepares you to tackle real-world data analysis challenges.
You should have solid foundation in R You should have good understanding of general statistics
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