Predictive Analytics (ML)

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Modern Pandas (Part 1)
Modern Pandas (Part 1)
This is part 1 in my series on writing modern idiomatic pandas. Modern Pandas Method Chaining Indexes Fast Pandas Tidy Data Visualization Time Series Scaling Effective Pandas Introduction This series is about how to make effective use of pandas, a data analysis library for the Python programming language. It’s targeted at an intermediate level: people who have some experience with pandas, but are looking to improve. Prior Art There are many great resources for learning pandas; this is not one of them. For beginners, I typically recommend Greg Reda’s 3-part introduction, especially if they’re familiar with SQL. Of course, there’s the pandas documentation itself. I gave a talk at PyData Seattle targeted as an introduction if you prefer video form. Wes McKinney’s Python for Data Analysis is still the goto book (and is also a really good introduction to NumPy as well). Jake VanderPlas’s Python Data Science Handbook, in early release, is great too. Kevin Markham has a video series for beginners learning pandas.
·tomaugspurger.net·
Modern Pandas (Part 1)
YData Fabric Platform
YData Fabric Platform
Get easy access to data, improve data quality, and create synthetic data with the YData Fabric platform.
·ydata.ai·
YData Fabric Platform
What is PyTorch? (Machine/Deep Learning)
What is PyTorch? (Machine/Deep Learning)
Check out watsonx: https://ibm.biz/BdvDnqPyTorch is a popular open-source framework for machine learning and deep learning, backed by the PyTorch Foundation....
·youtube.com·
What is PyTorch? (Machine/Deep Learning)
Three Very Useful Functions of Pandas to Summarize the Data
Three Very Useful Functions of Pandas to Summarize the Data
Pandas library is a very popular python library for data analysis. Pandas library has so many functions. This article will discuss three very useful and widely used functions for data summarizing.
·towardsdatascience.com·
Three Very Useful Functions of Pandas to Summarize the Data