Data Science, Nuclear Engineering and the Open Source
Data science, nuclear engineering, the importance of interdisciplinary data science and the open source.
Mar 2018
Topics
RelatedSee MoreSee More
Classification vs Clustering in Machine Learning: A Comprehensive Guide
Explore the key differences between Classification and Clustering in machine learning. Understand algorithms, use cases, and which technique to use for your data science project.
Kurtis Pykes
12 min
What is Named Entity Recognition (NER)? Methods, Use Cases, and Challenges
Explore the intricacies of Named Entity Recognition (NER), a key component in Natural Language Processing (NLP). Learn about its methods, applications, and challenges, and discover how it's revolutionizing data analysis, customer support, and more.
Abid Ali Awan
9 min
The Curse of Dimensionality in Machine Learning: Challenges, Impacts, and Solutions
Explore The Curse of Dimensionality in data analysis and machine learning, including its challenges, effects on algorithms, and techniques like PCA, LDA, and t-SNE to combat it.
Abid Ali Awan
7 min
10 Essential Python Skills All Data Scientists Should Master
All data scientists need expertise in Python, but which skills are the most important for them to master? Find out the ten most vital Python skills in the latest rundown.
Thaylise Nakamoto
9 min
Geocoding for Data Scientists: An Introduction With Examples
In this tutorial, you will learn three different ways to convert an address into latitude and longitude using Geopy.
Eugenia Anello
9 min
A Complete Guide to Socket Programming in Python
Learn the fundamentals of socket programming in Python
Serhii Orlivskyi
41 min