Data Science and Machine Learning with R and Python

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

Created by Ankita khanna

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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

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