Abhik's repositories
Connectedcomps
Getting connected components from list
Intoduction-to-Statistical-Learning-Book
This repository contains the solutions to the Book "Introduction to Statistical 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
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.
awesome
😎 Awesome lists about all kinds of interesting topics
deeplearningAI
The DeepLearning AI Courses of Andrew Ng
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
nbdev
Create delightful python projects using Jupyter Notebooks
fastai
The fastai deep learning library, plus lessons and tutorials
py4e
Web site for www.py4e.com and source to the Python 3.0 textbook
kaggle-api
Official Kaggle API
Network-Analysis-2
Visualisation of Fraud Rings, and Shiny app for Network - Resources and WIP
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...).
shiny
Easy interactive web applications with R
mastering-shiny
Mastering Shiny: a book
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.
shinydashboard
Shiny Dashboarding framework
d3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
DT-Editor
This is a DT Editor Shiny app
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!
Python
All Algorithms implemented in Python
keras
Deep Learning for humans
wooldridge
R package containing 105 data sets for "Introductory Econometrics: A Modern Approach". A vignette contains example models from each chapter.
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 ;)
Kaggle_srk
Codes for Kaggle Competitions
purrr-tutorial
A introduction to purrr