abhik-hazra Goto Github PK

awesome

😎 Awesome lists about all kinds of interesting topics

connectedcomps

Getting connected components from list

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

data-science-competitions

Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

deeplearningai

The DeepLearning AI Courses of Andrew Ng

docs

dt-editor

This is a DT Editor Shiny app

fastai

The fastai deep learning library, plus lessons and tutorials

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

kaggle

Starting this repository for my exploration in Kaggle. ubiquitous-potato is a good suggestion as a repo name by Github, but would go with Kaggle for now :D

kaggle-api

Official Kaggle API

kaggle_srk

Codes for Kaggle Competitions

keras

Deep Learning for humans

mastering-shiny

Mastering Shiny: a book

medium

nbdev

Create delightful python projects using Jupyter Notebooks

network-analysis-2

Visualisation of Fraud Rings, and Shiny app for Network - Resources and WIP

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 ;)

purrr-tutorial

A introduction to purrr

py4e

Web site for www.py4e.com and source to the Python 3.0 textbook

python

All Algorithms implemented in Python

python4beginners

Creating this repository to store some of my Jupyter Notebooks which I visit time to time when I recap the very basics. I will also be updating these time to time in a way that is helpful for general readers and learners of Python to come up to speed with the beginner-level stuff in Python.

r-introduction-1

This repository contains the Chapter Wise Coding Examples from the book "Hand-On Programming with R" by Garrett Grolemund. The basic question would be why I am creating this repository by borrowing codes from a book? It would be easy to follow if someone is looking to quickly cover the book and skip parts of the reading material.

shiny

Easy interactive web applications with R

shinydashboard

Shiny Dashboarding framework

shinyhome

Real Estate Market Forecasting and Analytics

wooldridge

R package containing 105 data sets for "Introductory Econometrics: A Modern Approach". A vignette contains example models from each chapter.

xgboost-smote-detect-fraud

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!