PinnedMy Most Trending ArticlesMy 10 most read articles - updated monthly. — 1 — How to Run a Data Science Project in a Docker Container 2 — How to balance a dataset in Python 3 — Data Preprocessing with Python Pandas — Part 5 Binning 4 — ipyvizzu: A Fast Library to Build Charts’ Animations in Python 5 — How to Run R scripts in Jupyter 6 — Understanding the Seasonal Order of the SARIMA Model 7 — Why You Should Not Trust the train_test_split() FunctionTrending1 min read
Published in Heartbeat·2 days agoGetting Started with Comet REST APIAn overview of the Comet REST API with a practical example — Comet is an experimentation platform that allows you to track, monitor, and compare your Machine Learning experiments. You can write your code in your preferred language, and then compare the results of your experiments in the Comet interface. Originally, I had tested Comet using Python, but in some of my…Women In Tech5 min read
Published in Towards Data Science·5 days agoAre DevOps and MLOps the Same Thing?An overview of what DevOps and MLOps have in common and what are their differences (if any) — About ten years ago, the community realized that there was a barrier between the delivery and operations teams. On the one hand, there was the development team, which was responsible for writing and testing the code. On the other hand, the operations team should make the code run in production…Software Development7 min read
Published in Heartbeat·May 11How to Integrate D3.js Graphs in a Comet PanelA step-by-step tutorial on how to build very appealing panels in Comet using D3.js — Comet is an experimentation platform for monitoring and tracking your Machine Learning experiments. You can also use Comet to build your reports, that show your experiments to your teammates or your clients. …Women In Tech8 min read
Published in Towards Data Science·May 11Getting Started with Data Cleaning in Python PandasA practical example of performing data cleaning using the popular Python library. — Data Cleaning is one of the mandatory steps when dealing with data. In fact, in most cases, your dataset is dirty, because it may contain missing values, duplicates, wrong formats, and so on. …Data Science5 min read
Published in Towards Data Science·May 3How to Add New Data to a Pretrained Model in Scikit-learnA step-by-step tutorial on how to use warm_start=True and partial_fit() in scikit-learn — When you build a Machine Learning model from scratch, usually, you split your dataset into training and test set, and then you train your model on your training set. …Women In Tech5 min read
Published in Heartbeat·Apr 26How to Write your Comet Experiments in RA tutorial on how to perform classification in R and track it in Comet — Comet is an experimentation platform which permits you to track, monitor, and compare your Data Science experiments. So far, I have tested Comet using Python as a programming language. Recently, I have discovered that Comet also provides a plugin package for R and Java. …Women In Tech5 min read
Published in Towards Data Science·Apr 25How to Run a Data Science Project in a Docker ContainerSome tips with a practical example on how to wrap your Data Science Project in a Docker image and run it in a Docker container — When writing the code for a Data Science project, it should be portable as possible, that is, that it can be executed as many times as you want even on different machines. It often happens that a Data Science project works correctly on your machine, during the modeling and testing…Artificial Intelligence8 min read
Published in Heartbeat·Apr 20Writing a Classification Task using Comet and JavaA step-by-step tutorial on how to build a Comet Experiment in Java — Comet is an experimentation platform that permits you to track and monitor experiments. You can write your Comet experiments using your preferred language including Python, R, and Java. In this tutorial, I describe how to write a Comet experiment in Java. In particular, I will use the Comet Java library…Women In Tech4 min read
Published in Towards Data Science·Apr 14ipyvizzu: A Fast Library to Build Charts’ Animations in PythonAn overview of the ipyvizzu library, with a practical example. — Communicating the results of an analysis is one of the required skills for a Data Scientist. One possible strategy to communicate results is the use of animations, which can help the audience quickly get the point and assimilate the message you want to convey. Recently I have discovered and tested…Women In Tech5 min read