Data Science with R

→ R Programming

  • Installing R & R-studio

→Data Types

  • Vector
  • Array
  • Matrix
  • Data Frame & List
  • Factors

→ R Connection - Interfaces

  • Reading Tabular Data
  • Textual Data Format
  • Compress file – gzip , bzip2
  • Connection to web

→ Control Structure

  • If-Else
  • For loop
  • While Loop
  • Repeat , Next , Break

→ Functions

  • Packages & Libraries
  • Writing custom functions

→ Date & Time

→R Objects

→Loop Functions

  • apply
  • lapply
  • mapply
  • tapply
  • split

Exciting Projects

→Financial Forecasting

  • Working with real time data and streaming Financial data. Modelling Risk Analysis , Volatility, Price Forecasting

→Customer Churn Problem

  • Artificial Neural Networks to solve Customer Churn Problem

→Image Recognition

  • Convolutional Neural Networks to solve Image recognition

→Fraud Investigation

  • Self –Organizing Maps to Investigate Fraud

→Recommender System

  • Boltzmann Machines to create Recommender system

Tools

  • TensorFlow
  • Pytorch
  • Theano
  • Keras
  • Open CV
  • Scikit-Learn
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