balajisriraj/Time-Series-Analysis

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R
Created almost 8 years ago
Updated almost 8 years ago

balajisriraj/Time-Series-Analysis

balajisriraj

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Time Series analysis on Electricity data

Network-Analysis-Key-Players-Community---Detection---Dolphins

Network analysis on Dolphin Data - Igraph package

News-Media-Publisher-Analysis

Jupyter Notebook

Analytics-Vidhya-Customer-Segmentation

Analytics Vidhya Customer Segmentation code

Jupyter Notebook

Twitter-Location-based-Trend-summarizer

This project is to identify top trends in twitter and generates the summary of those trending hashtags in about 50 to 160 words using Text-to-Text transformer model.

Jupyter Notebook

Data-Mining---Sales-Forecasting

The software which is used for analysis purpose is R (3.4.1). We chose R as it can be easily programmable and the availability of various packages from global community will yield us good predictions. Most of the statistical analysis was carried out using R, and we have used Tableau for visualising purposes. The charts and Graphs which are mentioned below was generated using both R & Tableau. We have used machine learning algorithm which was used for modelling was Random Forest in the H2O package.