[100% Free] Data Science and Machine Learning with R and Python

Data science,Machine Learning,Data visualization with R and Python using real world examples.

What Will I Learn?

Solve any data analytics problem using R and Python
Perform Data exploratory functions,importing and exporting the data sets,Data manipulation
Perform Logistic Regression using Cancer remission data set.
Data manipulation in R-Dply,Filter,multiple filter,mutate,arrange,summarize.
Data visualization in R-Bar graphs,Stacked bar,grouped bar graph,Line chart for time series data,Box plot to calculate mean, median, min ,max ,3rd quartile and 1st quartile values
Association Analysis in R using Market Basket analysis
Basics of Python,importing sys library,platform,checking the platform,run a code,checking data type,performing calculations,concatenating of strings,conversion of values,working on tuples,
Working with tuple continued,list,tuple,dictionaries(key value pair),set,In keyword,define a function,sorting using sorted function.
Data mapping and indexing using enumerate,creating dictionaries using enumerate,sorting without order,reversing the list,append the list.
Zip function,Iterate the value of tuple,If statement,else if statement,for loop,while,exception handling
Mathematical on Array using Numpy,decalring the 2D array,3D array,dtype,numpy operations,boolean array
Shape manipulation on Arrays,flatten the data set,reshape the data set,resize the array,split array,stacking of arrays,broadcasting,scalar on arrays,transpose function,inverse function on arrays using linalg function,sum of diagonal elements using trace.
Pandas,series containing data and label,list,series from a scalar,creating series from dictionary,access the element in series according to location using iloc().
Vector operation with data alignment,creating data frame out of dictionary of equal length list,create Data frame by combining two series,create Data frame from array.
Vector operation with data alignment,creating data frame out of dictionary of equal length list,create Data frame by combining two series,create Data frame from array.
Grouping by variable,Sorting of Data,standardization of data,apply standardized function to data frame
Linear regression in python