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

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Voice Recorder in #Python

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Machine Learning Algorithm basics!
Support Vector Machines (SVM) vs k-Nearest Neighbors (k-NN)

#MachineLearning #algorithms #ML #DataScience #ArtificialIntelligence #AI

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Machine Learning concepts - Intermediate Level.
Convolutional Neural Network (CNN) Layers: Convolution vs Pooling vs Fully Connected

#MachineLearning #NeuralNetwork #DeepLearning #ArtificialIntelligence #AI #Algorithms

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To generate stunning maps from OpenStreetMap data in #Python, use Prettymaps. It enables map creation with minimal code and offers versatile customization options.

๐Ÿš€ Link to Prettymaps: bit.ly/3Ps02Qj

๐Ÿ”– Dive deeper into the post: bit.ly/3PxxJjm

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๐Ÿ–ฅ Large Language Model Course

The popular free LLM course has just been updated.

This is a step-by-step guide with useful resources and notebooks for both beginners and those who already have an ml-base.

The course is divided into 3 parts:
1๏ธโƒฃ LLM Fundamentals : The block provides fundamental knowledge of mathematics, Python and neural networks.
2๏ธโƒฃ LLM Scientist : This block focuses on the internal structure of LLMs and their creation using the latest technologies and frameworks.
3๏ธโƒฃ The LLM Engineer : Here you will learn how to write applications in a hands-on way and how to deploy them.

โญ๏ธ 41.4k stars on Github

๐Ÿ“Œ https://github.com/mlabonne/llm-course

#llm #course #opensource #ml

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Forwarded from Python Courses
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๐ŸŽ Your balance is credited $4,000 , the owner of the channel wants to contact you!

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Free Artificial Intelligence Course for Beginners from Microsoft with Codes and Videos

https://github.com/microsoft/generative-ai-for-beginners

#AI #Microsoft #LearnAI #TechForBeginners #FreeCourse

Motivational Text:
Embark on your journey into the world of Artificial Intelligence with this free beginner-friendly course from Microsoft! Whether you're new to AI or looking to strengthen your foundational knowledge, this course offers step-by-step guidance, practical codes, and video tutorials to help you master the basics of generative AI. Start learning today and unlock your potential in the ever-evolving field of technology! โญ๏ธ๐Ÿ’ป #AIForEveryone #TechEducation #FutureSkills

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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 ChatGPTโ€™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 ChatGPTโ€™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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