Data Science Machine Learning Data Analysis
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This channel is for Programmers, Coders, Software Engineers.

1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning
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πŸ“š Ultimate Machine Learning Job Interview Questions Workbook (2024)

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This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
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πŸ“š Mastering LLM Applications with LangChain and Hugging Face (2024)

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πŸ“š PyTorch (2024)

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πŸ“š Learn Data Science Fundamentals (2025)

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πŸ“š Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection (2025)

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πŸ“š Applied Statistics with Python (2025)

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πŸ“š Tutorials on Machine learning & Deep-Learning (2016)

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πŸ“š Practical Python and OpenCV (2018)

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🎁 Your balance is credited $4,000 , the owner of the channel wants to contact you!

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πŸ“š Data Science with Julia (2019)

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πŸ“š Think Stats, 3rd Edition: Master Probability & Statistics with Python! 🐍

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- Free & Open Source: Licensed under Creative Commons (CC BY-NC-SA). Download the PDF, fork the GitHub repo, and start learning today!

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ChatGPT cheat sheet for data science.pdf
29 MB
Title: ChatGPT Cheat Sheet for Data Science (2025)
Source: DataCamp

Description:
This comprehensive cheat sheet serves as an essential guide for leveraging ChatGPT in data science workflows. Designed for both beginners and seasoned practitioners, it provides actionable prompts, code examples, and best practices to streamline tasks such as data generation, analysis, modeling, and automation. Key features include:
- Code Generation: Scripts for creating sample datasets in Python using Pandas and NumPy (e.g., generating tables with primary keys, names, ages, and salaries) .
- Data Analysis: Techniques for exploratory data analysis (EDA), hypothesis testing, and predictive modeling, including visualization recommendations (bar charts, line graphs) and statistical methods .
- Machine Learning: Guidance on algorithm selection, hyperparameter tuning, and model interpretation, with examples tailored for Python and SQL .
- NLP Applications: Tools for text classification, sentiment analysis, and named entity recognition, leveraging ChatGPT’s natural language processing capabilities .
- Workflow Automation: Strategies for automating repetitive tasks like data cleaning (handling duplicates, missing values) and report generation .

The guide also addresses ChatGPT’s limitations, such as potential biases and hallucinations, while emphasizing best practices for iterative prompting and verification . Updated for 2025, it integrates the latest advancements in AI-assisted data science, making it a must-have resource for efficient, conversational-driven analytics.

Tags:
#ChatGPT #DataScience #CheatSheet #2025Edition #DataCamp #Python #MachineLearning #DataAnalysis #Automation #NLP #SQL

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ChatGPT Cheat Sheet for Business (2025).pdf
8 MB
ChatGPT Cheat Sheet for Business - DataCamp

Unlock the full potential of AI with our comprehensive ChatGPT Cheat Sheet for Business! Tailored specifically for professionals and entrepreneurs, this guide offers actionable insights on leveraging ChatGPT to streamline workflows, enhance customer interactions, and drive business growth. Whether you're a marketing specialist, project manager, or CEO, this cheat sheet is your go-to resource for mastering conversational AI.

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πŸ“š Python For Large Language Models (2025)

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⚠️ O'Reilly Media, one of the most reputable publishers in the fields of programming, data mining, and AI, has made 10 data science books available to those interested in this field for free .

βœ”οΈ To use the online and PDF versions of these books, you can use the following links:πŸ‘‡

0⃣ Python Data Science Handbook
β”Œ Online
β””
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1⃣ Python for Data Analysis book
β”Œ Online
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πŸ”’ Fundamentals of Data Visualization book
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β””
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πŸ”’ R for Data Science book
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πŸ”’ Deep Learning for Coders book
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πŸ”’ DS at the Command Line book
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πŸ”’ Hands-On Data Visualization Book
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πŸ”’ Think Stats book
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πŸ”’ Think Bayes book
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πŸ”’ Kafka, The Definitive Guide
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### Hugging Face Transformers: Unlock the Power of Open-Source AI in Python

Discover the limitless potential of Hugging Face Transformers, a robust Python library that empowers developers and data scientists to harness thousands of pretrained, open-source AI models. These state-of-the-art models are designed for a wide array of tasks across various modalities, including natural language processing (NLP), computer vision, audio processing, and multimodal learning.

#### Why Choose Hugging Face Transformers?

1. Cost Efficiency: Utilizing pretrained models significantly reduces costs associated with developing custom AI solutions from scratch.
2. Time Savings: Save valuable time by leveraging pre-trained models, allowing you to focus on fine-tuning and deploying your applications faster.
3. Control and Customization: Gain greater control over your AI deployments, enabling you to tailor models to meet specific project requirements and achieve optimal performance.

#### Versatile Applications

Whether you're working on text classification, sentiment analysis, image recognition, speech-to-text conversion, or any other AI-driven task, Hugging Face Transformers provides the tools you need to succeed. The library's extensive collection of models ensures that you have access to cutting-edge technology without the need for extensive training resources.

#### Get Started Today!

Dive into the world of open-source AI with Hugging Face Transformers. Explore detailed tutorials and practical examples at:
https://realpython.com/huggingface-transformers/

to enhance your skills and unlock new possibilities in your projects. Join our community on Telegram (@DataScienceM) for continuous learning and support.

🧠 #HuggingFaceTransformers #OpenSourceAI #PretrainedModels #NaturalLanguageProcessing #ComputerVision #AudioProcessing #MultimodalLearning #AIDevelopment #PythonLibrary #DataScienceCommunity
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