From correlation to regression in python for data science.
Regression analysis is used for estimating the relationships among variables. It is used for modelling and analysing the variables. Learn about the relationship between a dependent variable and one or more independent variables (predictors) from the video. Regression analysis helps to understand the relationship between dependent variable and the independent variables. Learn how to fit a regression line using Least Squares Estimation and minimize the error.
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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"
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 advance 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 specific problem, build multiple model, 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.
Data science youtube playlist.
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Visit our official website to go deeper into data science topics.
https://statinfer.com