Jupyter Notebook for Data Science Coding Exercise
Author(s): Benjamin Obi Tayo Ph.D. Some coding challenge problems would specify that a formal project report be submitted together with a Jupyter notebook or R Script file Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Bayes’ Theorem Explained
Author(s): Benjamin Obi Tayo Ph.D. Bayes’ theorem is crucial for interpreting the results from binary classification algorithms, and a most know for aspiring data scientists Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Five Cool Python Libraries for Data Science
Author(s): Dhilip Subramanian Handy Python libraries for data science Python is a best friend for the majority of the Data Scientists. Libraries make their life simpler. I have come across five cool Python libraries while working on my NLP project. This helped me …
How, When, and Why Should You Normalize / Standardize / Rescale Your Data?
Author(s): Swetha Lakshmanan Before diving into this topic, lets first start with some definitions. “Rescaling” a vector means to add or subtract a constant and then multiply or divide by a constant, as you would do to change the units of measurement …
The Best Public Datasets for Machine Learning and Data Science
Author(s): Stacy Stanford, Roberto Iriondo, Pratik Shukla Best Public Datasets for Machine Learning and Data Science Best open-access datasets for machine learning, data science, sentiment analysis, computer vision, natural language processing (NLP), clinical data, and others. This resource is continuously updated. If you …
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