eeshangpt Goto Github PK

git

Git Source Code Mirror - This is a publish-only repository and all pull requests are ignored. Please follow Documentation/SubmittingPatches procedure for any of your improvements.

github-slideshow

A robot powered training repository :robot:

housing-sales-price

image_recognition

Image Recognition and Object Detection using Qt and OpenCV

introtodatascience

GitHub Repository to accompany my YouTube series of videos on Introductory Data Science using R.

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

lending-club

lending-club-case-study

Exploratory Data Analysis of Credit Data

lucene-solr

Mirror of Apache Lucene + Solr

machine-learning

melenomadetection

nautilus-gdoc

Automatically exported from code.google.com/p/nautilus-gdoc

news-recommendation-system

online-retailer

The data collected from UCI repository regarding the online gift seller. The data will be used to extract insights from the data. The data here is stored in a pickle format due to its size.

openlearning4deeprecsys

Some deep learning based recsys for open learning.

ordinalrecommenders

OrdinalRecommenders

practical_ml_with_tf

Notes

python-build

qtile

:cookie: A full-featured, hackable tiling window manager written and configured in Python

recommendersystem

This is a semester project done by me. It is a recommender system for movies which takes input of some static JSON data about user ratings and movie data, and outputs a recommended movie for an active user. It uses collaborative filtering and uses concepts of Genetic Algorithm.

telecom-service-providers

telecomchurn

Analysis of Telecom data to identify most important variable to predict churn of customers

tensorflow_object_tracking_video

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

testing

A test repo for a ton of things

topic-modelling

Topic modelling

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).