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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
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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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Full PyTorch Implementation of Transformer-XL

If you're looking to understand and experiment with Transformer-XL using PyTorch, this resource provides a clean and complete implementation. Transformer-XL is a powerful model that extends the Transformer architecture with recurrence, enabling learning dependencies beyond fixed-length segments.

The implementation is ideal for researchers, students, and developers aiming to dive deeper into advanced language modeling techniques.

Explore the code and start building:
https://www.k-a.in/pyt-transformerXL.html

#TransformerXL #PyTorch #DeepLearning #NLP #LanguageModeling #AI #MachineLearning #OpenSource #ResearchTools

https://t.me/CodeProgrammer