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1. pySpark_tutorial pySpark_tutorial Public

   Implementation of Spark code in Jupyter notebook. Topics include: RDDs and DataFrame, exploratory data analysis (EDA), handling multiple DataFrames, visualization, Machine Learning

   Jupyter Notebook 28 25

2. Fire_Detection_Model Fire_Detection_Model Public

   A CNN based fire detection model using TensorFlow (Keras) and transfer learning. Includes a Python script to scrap image data from the web.

   Jupyter Notebook 11 4

3. Time_Series_Analysis- Time_Series_Analysis- Public

   Time-series analysis of crime data has been presented and the forecasting model has been implemented using SARIMA and Holt-Winters triple index smoothing.

   Jupyter Notebook 2 1

4. Sentiment_Learning Sentiment_Learning Public

   A sentiment classification model is written in Python and Spark using ensemble learning.

   Jupyter Notebook 1 1

5. WSS_2019_Roshan-Koirala WSS_2019_Roshan-Koirala Public

   Forked from KyleKeane/WSS-Template

   An algorithm to generate the word cloud for time-varying dynamical text data in order to minimize the relative movement of the word over time.

   Mathematica

6. SQL SQL Public

   Jupyter Notebook 1 1