abhinav4201

atom

:atom: The hackable text editor

awesome-job-list

A list of the best places to job hunt. I've been curating this for the past 7 years.

blackjack-game

book

Hands-On Data Visualization: Interactive Storytelling from Spreadsheets to Code is an open-access book-in-progress, under contract with O'Reilly Media.

card_with_sass

Card with sass

classification-email-campaign-effectiveness-prediction

The main objective is to improve the effectiveness of their email marketing efforts and increase customer retention.

corona_virus_tweet_sentiment_analysis

counter-app

data-analysis-eda

data-science-from-scratch

code for Data Science From Scratch book

del

dtale

Visualizer for pandas data structures

exploratory-data-analysis-eda-airbnb

This is my first capstone project for full stack data science where exploratory data analysis of Airbnb NYC 2019 was done.

freecodecamp

freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

jsoncrack.com

🔮 Seamlessly visualize your JSON data instantly into graphs; paste, import or fetch!

knowtebook

This is just a sample of the project which was build using PHP.

learning-area-mdn-mozilla

Github repo for the MDN Learning Area.

linkedin-skill-assessments-quizzes

Full reference of LinkedIn answers 2023 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers

listofllc

marked

A markdown parser and compiler. Built for speed.

netflix-mern-clone

particles-js

pincode

PIN Code mapping database

practical-statistics-for-data-scientists

Code repository for O'Reilly book

public-apis

A collective list of free APIs

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

python

Python Tutorials for YouTube