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algorithms

Efficient Algorithms

applestore_machine-learning

Applied machine learning techniques to the Apple App store dataset to find the most impactful variables involved that determines an app's price. Applied regression techniques and feature subset selection to find variable importance (price prediction via feature engineering). Written in Python 3 and markdown via Jupyter.

awesome-learning-resources

🔥Awesome list of resources on Web Development.

callmehenry

Config files for my GitHub profile.

cool-name-api

diamonds_big-data

Extreme programming project. Distributed programming and cluster computing with Big Data. Demonstration of linear regression, k-means clustering, and hierarchical clustering in R.

first-contributions

🚀✨ Help beginners to contribute to open source projects

hacktoberfest

learn to make a pr

hacktoberfest-1

Participate in Hacktoberfest by contributing to any Open Source project on GitHub! Here is a starter project for first time contributors. #hacktoberfest

hacktoberfest2019

For beginners who are going to start with there first PR

hacktoberfest2019-1

A repository where you can upload any code in any language of your choice. Good for first PRs!

happy_hacking

Let's have a productive Hacktoberfest

instock-client

instock-server

labkit

labkit-api

linear-search

Linear Search Code

linguistnow

LinguistNow simplifies the hassle of finding available linguists for translation projects.

telus-hackathon

telus hackathon project march 2024

titanic_data-quality

Applied three data quality techniques: (1) missing data imputation; (2) data merging; and (3) the Jaccard metric. Step by step explanation provided. Written in R.