Viewing Named Objects, Structure of Data Items, Manipulating and Processing Data in R (Creating, Accessing, Sorting data frames, Extracting, Combining, Merging, reshaping data frames), Control Structures, Functions in R (numeric, character, statistical), working with objects, Viewing Objects within Objects, Constructing Data Objects, Packages – Tidyverse, Dplyr, Tidyr etc. R Programming: Reading and Getting Data into R, Exporting Data from R, Data Objects-Data Types & Data Structure. You will get decent amount of calls (around 1015 ) as Big Data is in demand currently. At this rank if you get CDAC -ACTS(PUNE) than join it. Python Programming: Python basics, If, If- else, Nested if-else, Looping, For, While, Nested loops, Control Structure, Break, Continue, Pass, Strings and Tuples, Accessing Strings, Basic Operations, String slices, Working with Lists, Accessing list, Operations, Function and Methods, Files, Modules, Dictionaries, Functions and Functional Programming, Declaring and calling Functions, Declare, assign and retrieve values from Lists, Introducing Tuples, Accessing tuples, Visualizing using Matplotlib, Seaborn, OOPs concept, Class and object, Attributes, Inheritance, Overloading, Overriding, Data hiding, Operations Exception, Exception Handling, except clause, Try-finally clause, User Defined Exceptions, Data wrangling, Data cleaning Answer (1 of 3): PG-DBDA is good course to choose. CDAC-DBDA-Project Project Name: Automatic Optimal N-Shot learning for Brain Tumor Detection This repository consists of all the files that are required for our project (Automatic Optimal N-Shot learning for Brain Tumor Detection) A Brain tumor is considered as one of the aggressive diseases, among children and adults.
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