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R Programming for Data Science
R programming for Data Science
How to get help (4:19)
Data science & machine learning as career option (8:12)
How to make right decisions for your career in data science & machine learning (8:12)
Various job options for aspiring data scientists & machine learning engineers (9:34)
AI vs ML vs DL with types of machine learning (12:37)
R introduction with installation of Rstudio (17:02)
Vectors, Matrix & Dataframes (6:56)
Data Types in R (15:30)
Variables & Objects in R (9:57)
Comments & Vectors in R (8:51)
Data wrangling with R-Part 1 (9:26)
Data wrangling with R-Part 2 (14:20)
Operators in R-Part 1 (10:57)
Operators in R-Part 2 (3:13)
Loops in R (17:16)
If Else Conditional Blocks in R (9:48)
Functions in R (13:41)
Assignment (7:23)
Data visualization with R
Data visualization with R fundamentals (5:16)
Data Visualization-Histogram vs barplot and plotting missing values (6:16)
Data Visualization with Bar plots and Histograms (5:59)
Data Visualization-Horizontal bar plots and Plot function (5:59)
More on plot function with heatmap (5:01)
Boxplot-Pair with Par commands (10:19)
Line graphs and Maps (5:47)
Data visualization with GGPlot2 Introduction (9:30)
Data visualization with GGPlot2-important plots (3:14)
Data visualization with Lattice graphs and Scatter3d plots (10:33)
Data visualization assignment (1:59)
Data Visualization-Histogram vs barplot and plotting missing values
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