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Comet for Data Science

How to enhance the life cycle of your Data Science projects through Comet, a platform for model tracking and monitoring. — About one year ago, I have discovered Comet, an experimentation platform for model tracking and monitoring. Since then, I have used Comet’s features to keep my projects organized and make them move from the early stages to production. The simplicity of Comet’s platform helped me complete all of the projects…

Artificial Intelligence

2 min read

Artificial Intelligence

2 min read

Published in Towards Data Science

·Nov 21

3 Ways to Visualize Time Series You May Not Know

A ready-to-run tutorial on how to visualize a time series in Python and Altair — A time series is a sequence of data points, typically measured at discrete time intervals. We can represent time series data using various methods, including line graphs, bar graphs, and scatter plots. In Python, we can use libraries like matplotlib, seaborn, and Altair to create time series plots. There are…

Artificial Intelligence

5 min read

3 Ways to Visualize Time Series You May Not Know

Artificial Intelligence

5 min read

Published in syntax-error

·Oct 24

How to Install Apache Thrift on Google Colab

Running Apache Thrift on Google Colab is fast and simple. Use this strategy if your local computer does not meet the Apache Thrift requirements. — Apache Thrift is a software framework for scalable cross-language service development. It provides an efficient architecture to make services easy to develop, deploy, and scale. In this tutorial, I’ll describe how to run the Thrift compiler in Google Colab. This is useful if your local computer does not meet the…

Data Engineering

3 min read

How to Install Apache Thrift on Google Colab

Data Engineering

3 min read

Published in Towards Data Science

·Oct 12

How to Create a Data Formatting Plugin in VDK

A step-by-step tutorial on how to manipulate a table in your data lake by writing a VDK custom plugin — Versatile Data Kit (VDK) is a framework for ingesting and manipulating different data sources into a single data lake. I’ve already discussed VDK in my previous article, so for an introduction to it, you can refer there. In this article, I’ll discuss how to implement a custom plugin in VDK…

Data Engineering

7 min read

How to Create a Data Formatting Plugin in VDK

Data Engineering

7 min read

Published in Towards Data Science

·Sep 27

How to Pass a Configuration File to a Kubernetes Pod

Improve your DevOps and MLOps project using Kubernetes ConfigMap and Secrets to store an entire configuration file to pass to a pod at runtime — Kubernetes is a system that helps manage containerized applications. It can help you scale your applications and make sure that they are running smoothly. You can even use Kubernetes to improve the way you manage and deploy data science projects. One issue you may encounter while using Kubernetes is how…

Kubernetes

5 min read

Kubernetes

5 min read

Published in syntax-error

·Sep 15

4 Docker Options You May Not Know

How to remove an image in Docker, rebuild an image from the base image, pass some configuration files to a Docker container, and run linux/amd64 images on linux/arm64 architecture. — In this short article, I take note of the following useful commands in Docker that I have discovered recently: Removing an image in Docker Rebuilding an image from the base image Passing some configuration files to a Docker container

Data Engineering

3 min read

Data Engineering

3 min read

Published in CometforDataScience

·Sep 14

2 Exploratory Data Analysis in Comet

The second episode of 11 Weeks of Comet for Data Science, the crash course to learn how to use Comet, an experimentation platform for model tracking. — In this second episode, you’ll learn how to perform Exploratory Data Analysis (EDA) in Comet, with a focus on the pandas-profiling library. You can watch the episode here: You can find more information on how to perform EDA in Comet in the second chapter of the book Comet for…

Artificial Intelligence

1 min read

Artificial Intelligence

1 min read

11 WEEKS OF COMET FOR DATA SCIENCE

2 Exploratory Data Analysis in Comet

The second episode of 11 Weeks of Comet for Data Science, the crash course to learn how to use Comet, an experimentation platform for model tracking.

In this second episode, you’ll learn how to perform Exploratory Data Analysis (EDA) in Comet, with a focus on the pandas-profiling library.

You can watch the episode here:

You can find more information on how to perform EDA in Comet in the second chapter of the book Comet for…

Published in Towards Data Science

·Aug 31

Handling Missing Values in Versatile Data Kit

A tutorial on how to build data pipelines using VDK to handle missing values — VMware has recently released a new framework, Versatile Data Kit (VDK), which you can use for Data Ingestion and Data Processing. VDK helps you to easily perform complex operations, such as data ingestion from different sources, using either SQL or Python. In other words, you can use VDK to build…

Data Engineering

6 min read

Handling Missing Values in Versatile Data Kit

Data Engineering

6 min read

Published in CometforDataScience

·Aug 31

1 Getting Started with Comet

How to build your first experiment in Comet, an experimentation platform for model tracking. — In this first lesson, you’ll learn: how to create your account in Comet how to write your first experiment in Comet In the first chapter of the book, you’ll also find: Getting started with workspaces, projects, experiments, and panels Two use cases: tracking images in Comet and simple linear…

Artificial Intelligence

1 min read

Artificial Intelligence

1 min read

11 weeks of Comet for Data Science

1 Getting Started with Comet

How to build your first experiment in Comet, an experimentation platform for model tracking.

In this first lesson, you’ll learn:

how to create your account in Comet
how to write your first experiment in Comet

In the first chapter of the book, you’ll also find:

Getting started with workspaces, projects, experiments, and panels
Two use cases: tracking images in Comet and simple linear…

Published in Towards Data Science

·Aug 11

The Essentials of Public Speaking for a Career in Data Science

Some tips on how to boost your public speaking skills as a data scientist — Data science is a relatively new field, and public speaking is an essential skill for anyone looking to build a career in this field. The ability to communicate complex data concepts clearly and effectively is essential for success in data science. If you’re data-driven and looking to boost your career…

Artificial Intelligence

9 min read