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Discover powerful insights with Python, Machine Learning, Coding, and Rβ€”your essential toolkit for data-driven solutions, smart alg

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Datasets Guide πŸ“š

A practical and beginner-friendly guide that walks you through everything you need to know about datasets in machine learning and deep learning. This guide explains how to load, preprocess, and use datasets effectively for training models. It's an essential resource for anyone working with LLMs or custom training workflows, especially with tools like Unsloth.

Importance:
Understanding how to properly handle datasets is a critical step in building accurate and efficient AI models. This guide simplifies the process, helping you avoid common pitfalls and optimize your data pipeline for better performance.

Link: https://docs.unsloth.ai/basics/datasets-guide

#MachineLearning #DeepLearning #Datasets #DataScience #AI #Unsloth #LLM #TrainingData #MLGuide

⚑️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟
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Master Machine Learning in Just 20 Days.1745724742524
30.8 MB
Title:
Master Machine Learning in Just 20 Days - Your Ultimate Guide! πŸ”₯

Description:
Struggling to break into Data Science or ace ML interviews at top product-based companies?

This 20-day roadmap covers ML basics to advanced topics like tuning, deep learning, and deployment with top resources and practice questions!

What’s Inside:

βœ… Supervised & Unsupervised Learning – Regression, Classification, Clustering
βœ… Deep Learning & Neural Networks – CNNs, RNNs, LSTMs
βœ… End-to-End ML Projects – Data Preprocessing, Feature Engineering, Deployment
βœ… Model Optimization – Hyperparameter Tuning, Ensemble Methods
βœ… Real-World ML Applications – NLP, AutoML, Scalable ML Systems

#MachineLearning #DeepLearning #DataScience #ArtificialIntelligence #MLEngineering #CareerGrowth #MLRoadmap

By: t.me/HusseinSheikho βœ…

πŸ’― BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟
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from SQL to pandas.pdf
1.3 MB
🐼 "Comparison Between SQL and pandas" – A Handy Reference Guide

⚑️ As a data scientist, I often found myself switching back and forth between SQL and pandas during technical interviews. I was confident answering questions in SQL but sometimes struggled to translate the same logic into pandas – and vice versa.

πŸ”Έ To bridge this gap, I created a concise booklet in the form of a comparison table. It maps SQL queries directly to their equivalent pandas implementations, making it easy to understand and switch between both tools.

⚑ This reference guide has become an essential part of my interview prep. Before any interview, I quickly review it to ensure I’m ready to tackle data manipulation tasks using either SQL or pandas, depending on what’s required.

πŸ“• Whether you're preparing for interviews or just want to solidify your understanding of both tools, this comparison guide is a great way to stay sharp and efficient.

#DataScience #SQL #pandas #InterviewPrep #Python #DataAnalysis #CareerGrowth #TechTips #Analytics

βœ‰οΈ Our Telegram channels: https://t.me/addlist/0f6vfFbEMdAwODBk

πŸ“± Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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