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The Ultimate Guide to Building a Machine Learning Portfolio That Lands Jobs

In this article, you'll learn how to create a portfolio that stands out.

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Python Tooling Beyond Pandas: Libraries to Broaden Your Data Science Toolkit

Pandas alternative libraries that you might not know before.

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10 Python One-Liners for Scikit-learn

Stop writing extra code — these 10 one-liners will take care of 80% of your Scikit-Learn tasks!

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Manhattan Associates Discovers the Power of Deeply Connected Data Pipelines

Get a 30-day free trial or take a 5-minute tour of CData Sync - Use one tool to integrate and replicate data from any source to any destination, in the cloud, on-premises, or hybrid environment.

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Deploying Deepseek Janus Pro locally

A simple way of using open-source multimodal understanding and visual generation models on a laptop.

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Is Causality the Next Frontier for Machine Learning?

Machine learning has transformed industries with advanced predictive abilities, but achieving breakthroughs in causality will depend on overcoming practical and computational challenges.

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Big Gains with Hugging Face’s smolagents

Utilize the simple yet advance AI agent framework for your works.

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What Data Scientists Need to Know About AI Agents and Autonomous Systems

Explore how AI agents are transforming industries, from chatbots to autonomous vehicles, and learn what data scientists need to know to implement them effectively.

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10 Essential Bash Shell Commands for Data Science

In this tutorial, we’ll cover 10 essential Bash shell commands every data scientist should know — commands that save time, simplify tasks, and keep you focused on insights rather than busywork.

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Creating Automated Data Cleaning Pipelines Using Python and Pandas

Find yourself running the same data cleaning steps time and again? Learn how to automate some of this boring stuff using Python and pandas.

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5 Cheapest Cloud Platforms for Fine-tuning LLMs

Stop overpaying for LLM fine-tuning! Discover 5 affordable cloud alternatives to AWS & GCP.

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Dealing with Outliers: A Complete Guide

What to do when some unusual observation shows up in your data? This guide explains and shows how to apply various strategies depending on your problem and needs.

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Measuring Prompt Effectiveness: Metrics and Methods

By examining key metrics and methods to evaluate prompt quality and effectiveness, this article guides you towards achieving more accurate, relevant, and creative text-generation results.

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AI Podcasts You Need to Follow in 2025

Want to learn everything about AI? Follow these podcasts to keep your knowledge up.

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Getting Started with Python’s asyncio Library

Check out this guide to learn how you can use asyncio for asynchronous programming in Python.

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A Practical Guide to Modern Airflow

Most data professionals and top companies, such as Airbnb and Netflix, use Apache Airflow daily. That is why you will learn how to install and use Apache Airflow in this article.

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Top 7 Open-Source LLMs in 2025

These models are free to use, can be fine-tuned, and offer enhanced privacy and security since they can run directly on your machine, and match the performance of proprietary solutions like o3-min and...

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The Hundred-Page Language Models Book: A Great Technical Intro to LLMs

The Hundred-Page Language Models Book is the LLM book you shouldn't miss.

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Where to Find Machine Learning Papers Outside of arXiv

A list of machine learning conferences that can give you access to the the newest papers out there.

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How to Secure Docker Containers with Best Practices

Learn how to protect your Docker containers from vulnerabilities and security threats by following these best practices.

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