jgondin

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going).

benson_team_awesome

Project 1 for MetisBootcamp

challenge-collecton

Solution to a collection of data science take home challenges.

clinton-email-clusters

clinton-email-cruncher

Download Hillary Clinton's emails and query them with sqlite

email-sherlock

:mag_right: Email Sherlock identifies and analyzes clusters in large email datasets, which can be used to aid email-based investigations, and possibly, prevent similar cases, by identifying email that contains sensitive or classified information.

late-night-revelers

Identified subway stations with the highest traffic between the hours of 10 PM to 5 AM for possible food vendors to tap into the market of "late night revelers" or evening shift workers. Techniques: exploratory data analysis using Pandas, data visualization using Tableau.

odscon-sf-2015

Material for ODSCON San Francisco 2015

predict-water-pump-failure

:potable_water: Predict the failure of waterpoints throughout Tanzania. Identify the main features that contributes to pump failures.

jgondin/benson_team_awesome

Project 1 for MetisBootcamp

jgondin/email-sherlock

:mag_right: Email Sherlock identifies and analyzes clusters in large email datasets, which can be used to aid email-based investigations, and possibly, prevent similar cases, by identifying email that contains sensitive or classified information.

jgondin/awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

jgondin/awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going).

jgondin/challenge-collecton

Solution to a collection of data science take home challenges.

jgondin/clinton-email-clusters

jgondin/clinton-email-cruncher

Download Hillary Clinton's emails and query them with sqlite

jgondin/EEGLearn

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

jgondin/enron-author-recognition

jgondin/fillm-industry-revenue-by-country

jgondin/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.

jgondin/incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

jgondin/jgondin.github.io

jgondin/jgondin.github.io-src

jgondin/jgondin2.github.io

Build a Jekyll blog in minutes, without touching the command line.

jgondin/late-night-revelers

Identified subway stations with the highest traffic between the hours of 10 PM to 5 AM for possible food vendors to tap into the market of "late night revelers" or evening shift workers. Techniques: exploratory data analysis using Pandas, data visualization using Tableau.

jgondin/LisbonDataScienceMeetup

Code and notebooks from Lisbon Data Science Meetup

jgondin/machine_learning_examples

A collection of machine learning examples and tutorials.

jgondin/mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

jgondin/moderncv

A modern curriculum vitae class for LaTeX

jgondin/nlp_demo

jgondin/pair

for pair programming exercises

jgondin/predict-water-pump-failure

:potable_water: Predict the failure of waterpoints throughout Tanzania. Identify the main features that contributes to pump failures.

jgondin/scikit-learn

scikit-learn: machine learning in Python

jgondin/tensorflow

Computation using data flow graphs for scalable machine learning

jgondin/TensorFlow-Examples

TensorFlow Tutorial and Examples for beginners

jgondin/AndroidMalwareSleuth

Project:-Android malware detection

jgondin/factCC

Resources for the "Evaluating the Factual Consistency of Abstractive Text Summarization" paper

jgondin/gen_ai_workshop

jgondin/pldnn

Dynamic Android Malware Category Classification using Semi-Supervised Deep Learning