Big Data Applications: Machine Learning at Scale Coursera


About this course: Machine learning is transforming the world around us. To become successful, you'd better know what kinds of problems can be solved with machine learning, and how they can be solved. Don't know where to start? The answer is one button away. During this course you will: - Identify practical problems which can be solved with machine learning - Build, tune and apply linear models with Spark MLLib - Understand methods of text processing - Fit decision trees and boost them with ensemble learning - Construct your own recommender system.

Data Science & Machine Learning with R Udemy


Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems! This course is designed for both complete beginners with no programming experience or experienced developers looking to make the jump to Data Science!

Become a certified data scientist for less than $50


Just to let you know, if you buy something featured here, Mashable might earn an affiliate commission. If Bill Nye reinvented his show for the modern era, he'd probably be the Data Science Guy. Skilled analytics professionals are in high demand across all sorts of industries nowadays, and IBM predicts that need will only continue to grow over the next three years. Get everything you need to break into this dynamic field through the Certs School's Complete Data Science Certification Training Bundle, available now for less than $50. Across more than 85 hours of content, you'll explore essential analytics skills while honing your understanding of business tools and big data.

Data Science: Machine Learning and Statistical Modeling in R


In this course, we will teach you advanced techniques in machine learning with the latest code in R. Now is the time to take control of your data and start producing superior statistical analysis with R. You will delve into statistical learning theory and supervised learning; design efficient algorithms; learn about creating Recommendation Engines; use multi-class classification and deep learning and more. This course starts with teaching you how to set up the R environment, which includes installing RStudio and R packages. This course aims to excite you with awesome projects focused on analysis, visualization, and machine learning. You will explore, in depth, topics such as data mining, classification, clustering, regression, predictive modeling, anomaly detection, and more.

Regression : Foundations of Data Science Udemy


In this course you will get a complete understanding of Machine Learning concepts. The industry standard best practices for formulating, applying and maintaining data driven products. It starts off with basic explanation of Machine Learning concepts and how to setup your environment. Next we take up data wrangling and EDA with Pandas. We step into Machine Learning algorithms linear and logistic regression and build real world solutions with them.