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120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

acm-icpc-algorithms

Algorithms used in Competitive Programming

al-go-rithms

:musical_note: Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/

algorithms

Several algorithms and data structures implemented in C++ by me (credited to others where necessary).

algorithms-

This repository contains my work from Master Algorithmic Programming Techniques Specialization .

applied-machine-learning

Course assignment on applied machine learning

applied-machine-learning-1

A step-by-step guide to get started with Applied Machine Learning

asyncio

Code snippets of implementing concurrency in Python through asyncio library.

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-interview-questions

:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

awesome-machine-learning

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

awesome-open-climate-science

Awesome Open Atmospheric, Ocean, and Climate Science

best-websites-a-programmer-should-visit

:link: Some useful websites for programmers.

boston-housing-eda

Exploratory Data Analysis on Boston Housing Dataset . This data set contains the data collected by the U.S Census Service for housing in Boston, Massachusetts.

census-donors-prediction

coding-problems

Some of commonly asked interview questions.

credit_card_fraud_detection

Predicting And analyzing credit card fraudulent detection

data-science-45min-intros

Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

data-science-interview-questions-and-answers

Data science interview questions with answers. Not ideally (yet)

data_science_and_machine_learning_cheatsheet

A curated notes on basic and advance topics mostly used in data science and machine learning.

email-spam-ham-classification

Creating a classifier that can classify whether a given a text is spam or ham.

exploratory-data-analysis

Done some analysis on Indian Premier League (Cricket)

exploratory-data-analysis-in-python

Exploratory Data Analysis in Python using Pandas

fastai

The fastai deep learning library, plus lessons and and tutorials

first-contributions

🚀✨ Help beginners to contribute to open source projects

geoplotting_with_folium

A tutorial example on how to start geoplotting using folium.

guide

A collection of easy-to-understand guides to programming tools

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

infant-mortality-eda

Performing Exploratory Data Analysis on Infant Mortality Dataset

infant-mortality-prediction

Mortality Rate Prediction