The codes were made for assignment purpose in Data Analysis Course (EE 201)
The codes can be run on standard R-Studio which needs an additional installation of R official package. After installing, both R and R-Studio, the codes can be run in them. However the codes can be run in the official R package only. But the GUI of R-Studio is way better than the official R-Console.
Each assignment consists of Problem Statement and it's corresponding codes in R. Some codes have in-built functions used. In, some codes we have incorporated our algorithms to make our own functions instead of in-built functions.
The assignment basically requires us to find the central tendencies for the randomly generated numbers. We have the file named 1.r which has the final code which can be readily implemented.
The assignment basically requires us to plot different types of graphs for the data we are finding. We have the file named 2.r which has the final code which can be readily implemented.
The assignment basically requires us to prove the Central Limit Theorem. We have the file named 3.r which has the final code which can be readily implemented. Furthermore, some data sets were chosen and then modelled and trained accordingly to as to fetch the required result. We have to import the .csv file provided to us and use that data to conduct the experiment.
The assignment basically requires us to find Power of an experiments. We have the file named 4.r which has the final code which can be readily implemented. We have t ouse the concepts of Hypothsis Testing to calculate the power of the experiment. We have to import the .csv file provided to us and use that data to conduct the experiment.
The concepts covered are basics of Machine Learning and Deep Learning concepts.
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