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followers: 4.0 following: 9.0 repos: 26.0 gists: 0.0

Name: Jaideep

Type: User

Bio: A keen sense of learning applied with a dash of creativity. Data Scientist by profession.

Location: Chicago, IL

Blog: https://www.linkedin.com/in/jaideep-whabi-b8910aa5/

Jaideep's Projects

amazon-forecast-samples

Notebooks and examples on how to onboard and use various features of Amazon Forecast.

auto-publish-to-tableau-server

This is a Java code written to help construct an automated publishing system for Tableau workbooks from the local machine to a certain tableau server.

communites-and-crime

A handy repository to practice Machine Learning algorithms and Techniques using the Communities and Crime Dataset from UCI ML repository: http://archive.ics.uci.edu/ml/datasets/communities+and+crime

credit-card-fault-analysis

Statistical Analysis and Prediction for Credit Card defaulters based on Taiwan's Credit banking data

deep-learning-for-time-series-forecasting

This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete and executable examples in Python.

This repository has modules which will simulate a 3-layer NN. The modules are built from scratch without using any GPU framework library. Simulations include forward and backward propagation for every node of sigmoid/softmax activiation.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearning-500-questions

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

dehazing

single image dehazing.

financialanalysisusingnlpandmachinelearning

Used text analytics (NLP) and machine learning to determine the true earnings quality of publicly listed companies

fpp2-package

All data sets required for the examples and exercises in the book "Forecasting: principles and practice" by Rob J Hyndman and George Athanasopoulos. All packages required to run the examples are also loaded.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hierarchical-clustering-forecasting

Paper with Mahsa on forecasting using clustering and hierarchical information

highway-networks-and-traffic-simulations-in-transims

Tutorial for using TRANSIMS and QGIS in the case of Traffic simulation (Tutorial)

htsprophet

Hierarchical Time Series Forecasting using Prophet

ieee-fraud-detection

(NIGHTLY) Dev work for https://www.kaggle.com/c/ieee-fraud-detection/overview. Cleanup post dev stage.

imdb-movie-reviews-text-classification-naive-bayes-python-

Implementation and Evaluation of the Naive Bayes algorithm in Python for Movie reviews sourced from IMDB

minimalistic-multiple-layer-neural-network-from-scratch-in-python

Minimalistic Multiple Layer Neural Network from Scratch in Python

neural-network-from-scratch

Implementing Multiple Layer Neural Network from Scratch

player-analytics

Predicting Player potential and Position based on FIFA player data and Match recordings

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

vehicle-color-identification

A simpler way to process Vehicle Color Identification for Intelligent Traffic Systems (ITS)

web-traffic-time-series-forecasting

Kaggle competition

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