The kerasformula package offers a high-level interface for the R interface to Keras. It’s main interface is the kms function, a regression-style interface to keras_model_sequential that uses formulas and sparse matrices. We use kerasformula to predict how popular tweets will be based on how often the tweet was retweeted and favorited.
Table of Contents What Is Keras Core? Configuring Your Development Environment Let’s Talk about Keras! Going Beyond with Keras Core The Power of Keras Core: Expanding Your Deep Learning Horizons Show Me Some Code JAX Harnessing model.fit() Imports and Setup…
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Since the release of ChatGPT, Large language models (LLMs) have received a huge amount of attention in both industry and the media; resulting in an…
Originally a port of the R package, pyjanitor has evolved from a set of convenient data cleaning routines into an experiment with the method chaining paradigm. Data preprocessing usually consists of a series of steps that involve transforming raw data into an understandable/usable format.
We were joined by Joris Van den Bossche talked about the work being done with Pandas. Pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.
Fortran is a compiled language which means that once written, the source code must be passed through a compiler to produce a machine executable that can be run.
