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Cheat Sheet – 10 Machine Learning Algorithms & R CommandsCheat Sheets / References, Learning Guides, Etc.
From Bytes Cravings: “This article lists down 10 popular machine learning algorithms and related R commands (& package information) that could be used to create respective models. The objective is to represent a quick reference page for beginners/intermediate level R programmers who are working on machine learning related problems…. Following are the different ML algorithms included in this article: Linear Regression Logistic Regression K-Means Clustering K-Nearest Neighbors (KNN) Classification Naive … Continue Reading
Cheat Sheet: Algorithms for Supervised and Unsupervised LearningCheat Sheets / References, Learning Guides, Etc.
A document with common machine learning algorithms for supervised and unsupervised learning, covering: K-nearest neighbour Naive Bayes Log-linear Perceptron Support vector machines K-means Mixture of Gaussians
iPython NotebooksCheat Sheets / References, Learning Guides, Etc. / Tutorial
From GitHub: “This repo contains various iPython notebooks I’ve created to experiment with libraries and work through exercises, and explore subjects that I find interesting.” The notebooks include: Popular Python data science libraries NumPy SciPy Matplotlib Pandas Statsmodels Scikit-learn Seaborn NetworkX PyMC NLTK DEAP Genism Machine Learning Exercises Tensorflow Deep Learning Exercises Spark Big Data Labs Miscellaneous
Essentials of Machine Learning Algorithms (with Python and R Codes)Cheat Sheets / References, Learning Guides, Etc. / Tutorial
From Analytics Vidhya: “Today, as a data scientist, I can build data crunching machines with complex algorithms for a few dollors per hour. But, reaching here wasn’t easy! I had my dark days and nights…. The idea behind creating this guide is to simplify the journey of aspiring data scientists and machine learning enthusiasts across the world. Through this guide, I will enable you to work on machine learning problems and … Continue Reading
Mastering Markdown for GitHubCheat Sheets / References, Learning Guides, Etc. / Tutorial
“Markdown is a lightweight and easy-to-use syntax for styling all forms of writing on the GitHub platform. What you will learn: How the Markdown format makes styled collaborative editing easy How Markdown differs from traditional formatting approaches How to use Markdown to format text How to leverage GitHub’s automatic Markdown rendering How to apply GitHub’s unique Markdown extensions
Machine Learning Libraries Cheat SheetCheat Sheets / References, Learning Guides, Etc.
Organized into an interactive ‘periodic table’, this website collates machine learning libraries for R, Julia, Python, C/C++, Java, Scala, big data, computer vision and natural language processing (NLP), and Lua/JS/Clojure.
Cheatsheet – 11 Steps for Data Exploration in R (with codes)Cheat Sheets / References, Learning Guides, Etc.
“Data Exploration not only uncovers the hidden trends and insights, but also allows you to take the first steps towards building a highly accurate model. Considering the popularity of R Programming and its fervid use in data science, I’ve created a cheat sheet of data exploration stages in R. This cheat sheet is highly recommended for beginners who can perform data exploration faster using these handy codes. All you need to do … Continue Reading