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Given today's massive amounts of data, datascience is an essential component of many companies, and it is one of the most contested subjects in the IT industry. Its popularity has expanded over time, and individuals have begun to use diverse datascience approaches to develop their businesses and boost consumer happiness.
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Course Length: 8 hours Learn more about the program ! DataScience: R Basics from Harvard University Overview: This program introduces the basics of Rprogramming. Course Length: 7 months Learn more about the program ! Website Link: Swayam 2.
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If the value of covariances and correlations suggests that the variables can be treated independently, we treat the data as a linear superposition of univariate time series. Explore More DataScience and Machine Learning Projects for Practice. Otherwise, we use complex models such as Vector Autoregressive (VAR) model.
You will learn how to use Exploratory Data Analysis (EDA) tools and implement different machine learning algorithms like Neural Networks, Support Vector Machines, and Random Forest in Rprogramming language. Source Code: Customer Churn Prediction Recommended Reading: Is DataScience Hard to Learn? Answer: NO!)
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