Simple Practical Data Cleaning Python Code Snippets for messy data: https://
bit.ly/3hpthSD
+
Data Cleaning Cookbook to prepare your data for analysis — PANDAS, NumPy, Matplotlib, scikit-learn,…: https://
amzn.to/4c6DAWf v/ @PacktDataML —————
#DataScience #DataScientist
EDUCATION
-

Python Data Cleaning Snippets and Cookbook for Messy Data
By
–
-

Python Machine Learning By Example: 518-Page Guide to ML Best Practices
By
–
Python Machine Learning By Example: https://
amzn.to/3MczBwk v/ @PacktDataML +
GitHub: https://
github.com/PacktPublishin
g/Python-Machine-Learning-By-Example-Third-Edition
… 518-pages! What you will learn: Machine learning best practices throughout data preparation and model development Build and improve image classifiers using -
Agent 4 Content Challenge Winner: Dari.fyi for Central Asia Diaspora
By
–
Week 1 winner of the Agent 4 Content Challenge:
— Replit ⠕ (@Replit) 27 mars 2026
Rahim Siddiq 🎉
Built: https://t.co/S8aozLfvQh Duolingo for the Central Asia diaspora https://t.co/eemfRd7r0Z pic.twitter.com/QodIKVNI11Week 1 winner of the Agent 4 Content Challenge: Rahim Siddiq Built: http://
Dari.fyi Duolingo for the Central Asia diaspora -

Kaggle Book: Master Data Science with ML and LLMs
By
–
The Kaggle Book — Master Data Analysis and #DataScience Competitions with #MachineLearning, GenAI, and LLMs [2nd Edition]: http://
amzn.to/4pxJpTC v/ @PacktDataML Table of Contents:
Introducing Data Science Competition
Organizing Data with Datasets
Work & Learn with -

Learn Probability Through Problems: Essential Math for AI
By
–
Learn Probability Through Problems (exercises, hints, and solutions provided): http://
amzn.to/3vZed8W
—————
#Statistics #DataScience #Mathematics -

XGBoost for Regression, Predictive Modeling, and Time Series Analysis
By
–
XGBoost for Regression, Predictive Modeling, and Time Series Analysis — Learn how to build, evaluate, & deploy predictive models: http://
amzn.to/4l2YcU9 v/ @PacktDataML —
My review: XGBoost is definitely the focal point and central contribution of this book, along with all -

Mathematics of Machine Learning Book Review by Kirk Borne
By
–
Get "Mathematics of Machine Learning" here: http://
amzn.to/4eN7i52 by @TivadarDanka v/ @PacktDataML —
GitHub: http://
github.com/cosmic-cortex/
—
Here is my review: 𝗧𝗵𝗲 𝗦𝗲𝘁 𝗢𝗳 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗧𝗵𝗮𝘁 𝗟𝗲𝗮𝗿𝗻 𝗙𝗿𝗼𝗺 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 This -

Machine Learning for Tabular Data: XGBoost and Deep Learning Book
By
–
Excellent book from @ManningBooks >> #MachineLearning for Tabular Data: XGBoost, Deep Learning, and AI, by @MarkRyanMkm & @lucamassaron Get it here: http://
amzn.to/41J8WA6 • Master XGBoost
• Apply deep learning to tabular data
• Deploy models locally and in the cloud
• -

Free Webinar: AI Evolution from Machine Learning to AI Agents
By
–
Free 90-minute webinar: https://
luma.com/gligxe4f hosted by @PacktPublishing @PacktDataML on April 4 The AI Evolution: A Foundational Guide from ML to AI Agents — Playbook for Applying Machine Learning and Agents -

Feature Engineering for Modern Machine Learning with Scikit-Learn
By
–
Feature Engineering for Modern Machine Learning with Scikit-Learn: Advanced Data Science and Practical Applications (Advanced Data Analysis Series) Available at https://
amzn.to/4dJAxav