This is a 16-hour course on Tensorflow. We will explore Tensorflow architecture and application programming interfaces to build machine learning algorithms and train then on a real world dataset. Read more and reserve […]
Orginally posted on infoworld. Already using NumPy, Pandas, and scikit-learn? Here are five more powerful Python data science tools ready for a place in your toolkit. Python’s rich ecosystem of […]
Originally posted on allendowney. I’ve been experimenting with programming assisted by Large Language Models (LLMs) like ChatGPT. I am amazed at how good it is, and it seems clear to […]
Originally posted on dataquest. Linear Regression is one of the most basic yet most important models in data science. It helps us understand how we can use mathematics, with the help […]
Originally posted on kdnuggets. Let’s look at six must-have tools every data scientist should use. Machine learning is rapidly evolving and the crucial focus of the software development industry. The […]
Originally posted on kdnuggets. Here are a few approaches that I have settled on for managing my own reusable Python code as a data scientist, presented from most to least […]
Originally posted on towardsdatascience. Start the new year with this inspired list of interesting code with libraries, roadmaps, and projects to bookmark New tools that improve developer productivity are released […]
Originally posted on datasciencecentral. Data Science is an exciting field for knowledge workers because it increasingly intersects with the future of how industries, society, governance and policy will function. While […]
Originally posted on analyticsvidhya. Introduction Writing a code is like a piece of art and in this article, I am going to share some tips and tricks for Data Scientists […]
