Tutorial
Data Wrangling – preprocessing
Data Wrangling(preprocessing, prep, etc) is the most important and time consuming part of any data science project. Depending on the quality of data sources, 50%-60% of the initial…
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Content Type: Tutorial
Step-by-step learning resources and implementation guides.
Tutorial
Open source Data science libraries – AI, ML, NLP
Scikit-learn is a free software machine learning library for the Python programming language. It features various classification, regression and clustering algorithms including support vector machines, etc. One of…
Tutorial
Open source Data science Tools – Anaconda, Spyder, Python
The open-source Anaconda Distribution is the easiest way to perform Python/R data science and machine learning on Linux, Windows, and Mac OS X. https://www.anaconda.com/ Spyder is a powerful scientific…
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Useful websites for Data Science
https://www.kdnuggets.com/ https://towardsdatascience.com/ https://www.analyticsvidhya.com/ https://www.kaggle.com/ https://www.datacamp.com/community/data-science-cheatsheets
Tutorial
Top Free Books for Data Science Basics
There are a large no of free books available online to learn the basics of data science. Very good to start with before considering more advanced books. Some…