JOINS in PIG - Tutorial 9 by statinfer
Data scientist is called as the sexiest job of the 21st century.
They take an enormous mass of messy data points (unstructured and structured) and use their formidable skills in math, statistics, and programming to clean, massage and organize. But worry not we are here to the rescue and teach you how to be a data scientist, more importantly, upgrade your analytic skills to tackle any problem in the field of data science. Join us on "statinfer.com" for becoming a "scientist in data science"
Enroll in our course and download the dataset.
https://statinfer.com/
Our "Machine Learning" course is now available on Udemy
https://www.udemy.com/machine-learnin...
Part 1 – Introduction to R Programming.
This is the part where you will learn basic of R programming and familiarize yourself with R environment. Be able to import, export, explore, clean and prepare the data for advanced modeling. Understand the underlying statistics of data and how to report/document the insights.
Part 2 – Machine Learning using R
Learn, upgrade and become expert on classic machine learning algorithms like Linear Regression, Logistic Regression, and Decision Trees.
Learn which algorithm to choose for a specific problem, build multiple models, learn how to choose the best model and be able to improve upon it. Move on to advance machine learning algorithms like SVM, Artificial Neural Networks, Reinforced Learning, Random Forests and Boosting and clustering algorithms like K-means.
Facebook link:-
(Visit our facebook page we are sharing data science videos)
/ aboutanalytics
Visit our official website to go deeper into data science topics.
https://statinfer.com