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Chandrasekaran Anirudh Bhardwaj's Projects

analytics_vidhya_xtreme_ml icon analytics_vidhya_xtreme_ml

Customer Service is one of top priorities for Aigües de Barcelona. We are in the process of redesigning our customer services to improve our relationship with the customers. To make sure, we respond to our customers efficiently, we need to predict the Volume and typologies of contacts to the call center. Further, we also need to forecast the number of resolutions opened on a daily basis. Your task is to forecast the number of contacts (by various contact types) and number of resolutions (by category and Subject) opened on a daily basis for Aigües de Barcelona.

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Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

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Code for my part in Data Haka Team for Datafest held in Spring 2019. The team finished as the runners up

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Code for Assignment 1 provided by Bugscience

cash-optimization_bank icon cash-optimization_bank

This contains the code and the File for Slot Distributed Simulation of the Working of a Bank's Inventory System

char-embeddings icon char-embeddings

A repository containing 300D character embeddings derived from the GloVe 840B/300D dataset, and uses these embeddings to train a deep learning model to generate Magic: The Gathering cards using Keras

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Deep Learning based Automated Attendance System

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Testing out Numpy Einstein Summation

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Project repository for Applied Machine Learning for Financial Modeling Class

ggplot2 icon ggplot2

An implementation of the Grammar of Graphics in R

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