kevin-okiah Goto Github PK

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

banking_term_deposit

Banks typically call a prospective client with an offer of attractive interest rates through directed marketing campaigns to get them into term deposit subscriptions. This repository describes the development and identification of a model that can explain the odds of success of a contact based on several explanatory variables related to each contact.

capstone

Self-Driving Cars: Evaluation of Deep Learning Techniques for Object Detections in Different Driving Conditions

caret

casestudy2

crash-course-crm

Django customer management platform

customercomplaintsclassification-nlp

dataminingnotebooks

This is a collection of iPython notebooks from my course on data mining. Data used in the notebooks can be downloaded from the given links in the notebooks.

datasharing

The Leek group guide to data sharing

dataviz1

datawranglingwithdplyr

The GitHub repo for Dave Langer's YouTube video series on data wrangling and feature engineering with the dplyr package in R.

death2gridsearch-classification

Classification Model Selection Toolkit

delta

DELTA is a deep learning based natural language and speech processing platform.

downloads

kevin-okiah.github.io

multilabel-timeseries-classification-with-lstm

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

naturallanguageprocessing-nlp

This is an NLP pipeline repository. Repository deals with tasks such as Web-scrapping, Text cleaning and normalization, Lexical Analysis, NER, POS Tagging, Vectorization, Documents Clustering, Topic Modeling, LSTM, GRU, RNN etc

nc_education_data

This a repository for a project where we explore the state of North Carolina Education System.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

processing-13

Source code for 'Processing' by Ira Greenberg, Dianna Xu, and Deepak Kumar

protobuf

Protocol Buffers - Google's data interchange format

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

python-web-scraping-tutorial

A Python-based web and data scraping tutorial

pythonintrobridge

reproducible_research

This is a basic repository for structuring a project for collaboration and reproducible research

screencasts

Code that goes along with my screencasts.

sending_email_in_python

testrepo

Files and projects for Stat 6306 Introduction to Data Science

text_mining_resources

Resources for learning about Text Mining and Natural Language Processing