Saniya Ambavanekar sanuamb

Pinned

1. Porto-Seguro-Safe-Driver-Prediction

   Built a binary classifier using various Machine Learning algorithms to predict whether a driver will claim insurance or not.

   R 1

2. Predict_Accident_Prone_Area_using_Spark

   Machine Learning Classification Problem Implemented using SparkML

   Jupyter Notebook

3. Stackexchange-Data-Analysis-Using-Hbase-Hive

   Analyzing tags from stackexchange dumps using Hive SQL and Mapreduce using Hbase

   HiveQL

4. Predicting-Footfall

   This dataset contains a lot of missing values. Executed some approaches to fill those by predicting them through machine learning models. Lastly fitted boosting algorithms to predict the footfall

   Python

5. Community_Detection_Link_Prediction

   Implemented girvan newman community detection alogrithm from scratch and Link prediction in Facebook network for 'Bill Gates' as test node with accuracy 80%

   Jupyter Notebook

6. Phoneme-Classification-Using-Deep-Learning

   Implemented Phoneme Classification of a given audio Speech with DNN and LSTM using keras with tensorflow as backend.

   MATLAB