Python | Machine Learning | Coding

Python | Machine Learning | Coding | R

30 NumPy MCQs with solutions

Are you ready??

Let's start: https://codeprogrammer.notion.site/30-NumPy-MCQs-with-solutions-23ccd3a4dba9803e8fafe39a110a3f9e?source=copy_link

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Python | Machine Learning | Coding | R

📚 JaidedAI/EasyOCR — an open-source Python library for Optical Character Recognition (OCR) that's easy to use and supports over 80 languages out of the box.

### 🔍 Key Features:

🔸 Extracts text from images and scanned documents — including handwritten notes and unusual fonts
🔸 Supports a wide range of languages like English, Russian, Chinese, Arabic, and more
🔸 Built on PyTorch — uses modern deep learning models (not the old-school Tesseract)
🔸 Simple to integrate into your Python projects

### ✅ Example Usage:

import easyocr

reader = easyocr.Reader(['en', 'ru'])  # Choose supported languages
result = reader.readtext('image.png')

### 📌 Ideal For:

✅ Text extraction from photos, scans, and documents
✅ Embedding OCR capabilities in apps (e.g. automated data entry)

🔗 GitHub: https://github.com/JaidedAI/EasyOCR

👉 Follow us for more: @DataScienceN

#Python #OCR #MachineLearning #ComputerVision #EasyOCR

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3.83K views06:39

Python | Machine Learning | Coding | R

Transformer Lesson - Part 1/7: Introduction and Architecture

Let's start:
https://hackmd.io/@husseinsheikho/transformers

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4.08K viewsedited 10:30

Python | Machine Learning | Coding | R

🔥

Master Vision Transformers with 65+ MCQs!

🔥

Are you preparing for AI interviews or want to test your knowledge in Vision Transformers (ViT)?

🧠 Dive into 65+ curated Multiple Choice Questions covering the fundamentals, architecture, training, and applications of ViT — all with answers!

🌐 Explore Now: https://hackmd.io/@husseinsheikho/vit-mcq

🔹 Table of Contents
Basic Concepts (Q1–Q15)
Architecture & Components (Q16–Q30)
Attention & Transformers (Q31–Q45)
Training & Optimization (Q46–Q55)
Advanced & Real-World Applications (Q56–Q65)
Answer Key & Explanations

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4.04K viewsedited 10:19

Python | Machine Learning | Coding | R

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🧹

ObjectClear — an AI-powered tool for removing objects from images effortlessly.

⚙️ What It Can Do:

🖼️ Upload any image
🎯 Select the object you want to remove
🌟 The model automatically erases the object and intelligently reconstructs the background

⚡️ Under the Hood:

— Uses Segment Anything (SAM) by Meta for object segmentation
— Leverages Inpaint-Anything for realistic background generation
— Works in your browser with an intuitive Gradio UI

✔️ Fully open-source and can be run locally.

📎 GitHub: https://github.com/zjx0101/ObjectClear

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3.65K viewsedited 04:27

Python | Machine Learning | Coding | R

🚀 Comprehensive Tutorial: Build a Folder Monitoring & Intruder Detection System in Python

In this comprehensive, step-by-step tutorial, you will learn how to build a real-time folder monitoring and intruder detection system using Python.

🔐 Your Goal:
Create a background program that:
- Monitors a specific folder on your computer.
- Instantly captures a photo using the webcam whenever someone opens that folder.
- Saves the photo with a timestamp in a secure folder.
- Runs automatically when Windows starts.
- Keeps running until you manually stop it (e.g., via Task Manager or a hotkey).

Read and get code: https://hackmd.io/@husseinsheikho/Build-a-Folder-Monitoring

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3.44K viewsedited 05:41

Python | Machine Learning | Coding | R

🚀 Comprehensive Guide: How to Prepare for an Image Processing Job Interview – 500 Most Common Interview Questions

Let's start: https://hackmd.io/@husseinsheikho/IP

#ImageProcessing #ComputerVision #OpenCV #Python #InterviewPrep #DigitalImageProcessing #MachineLearning #AI #SignalProcessing #ComputerGraphics

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2.67K views09:59

Python | Machine Learning | Coding | R

A useful find on GitHub CheatSheets-for-Developers

LINK: https://github.com/crescentpartha/CheatSheets-for-Developers

This is a huge collection of cheat sheets for a wide variety of technologies:

Conveniently structured — you can quickly find the topic you need.

Save it and use it 🔥

👉

@DATASCIENCEN

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2.67K views12:15

Python | Machine Learning | Coding | R

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9.69K views14:39

Python | Machine Learning | Coding | R

Join our WhatsApp channel

There are dedicated resources only for WhatsApp users

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Python | Machine Learning | Data Science | WhatsApp Channel

Python | Machine Learning | Data Science WhatsApp Channel. Welcome to our official WhatsApp Channel – your daily dose of AI, Python, and cutting-edge technology!

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8.43K views08:58

Python | Machine Learning | Coding | R

🚀 Comprehensive Guide: How to Prepare for a Graph Neural Networks (GNN) Job Interview – 350 Most Common Interview Questions

Read: https://hackmd.io/@husseinsheikho/GNN-interview

#GNN #GraphNeuralNetworks #MachineLearning #DeepLearning #AI #DataScience #PyTorchGeometric #DGL #NodeClassification #LinkPrediction #GraphML

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2.42K views15:21

Python | Machine Learning | Coding | R

This repo is awesome. It features RAG, AI Agents, Multi-agent Teams, MCP, Voice Agents, and more.

✅ link: https://github.com/Shubhamsaboo/awesome-llm-apps

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2.59K views20:02

Python | Machine Learning | Coding | R

500 Essential Web Scraping Interview Questions

Start: https://hackmd.io/@husseinsheikho/WS-Interview

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Python | Machine Learning | Coding | R

500 Essential Web Scraping Interview Questions Start: https://hackmd.io/@husseinsheikho/WS-Interview ✉️ Our Telegram channels: https://t.me/addlist/0f6vfFbEMdAwODBk 📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

500 Essential Web Scraping Interview Questions with Answers - part 1 (1 to 238)

Link: https://hackmd.io/@husseinsheikho/WS-Ans238

500 Essential Web Scraping Interview Questions with Answers - part 2 (239 to 386)

Link: https://hackmd.io/@husseinsheikho/WS-Ans386

500 Essential Web Scraping Interview Questions with Answers - part 3 (387 to 500)

Link: https://hackmd.io/@husseinsheikho/WS-Ans500

https://t.me/DataScienceQ

✅

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1.85K views16:43

Python | Machine Learning | Coding | R

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This repository contains a collection of everything needed to work with libraries related to AI and LLM.

More than 120 libraries, sorted by stages of LLM development:

→ Training, fine-tuning, and evaluation of LLM models
→ Integration and deployment of applications with LLM and RAG
→ Fast and scalable model launching
→ Working with data: extraction, structuring, and synthetic generation
→ Creating autonomous agents based on LLM
→ Prompt optimization and ensuring safe use in production

🌟 link: https://github.com/Shubhamsaboo/awesome-llm-apps

👉

@codeprogrammer

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2.01K views19:35

Python | Machine Learning | Coding | R

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Python | Machine Learning | Coding | R

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Python | Machine Learning | Coding | R

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This repo is like gold for every data scientist!

✅ Just open your browser; a ton of interactive exercises and real experiences await you. Any question about statistics, probability, Python, or machine learning, you'll get the answer right there! With code, charts, even animations. This way, you don't waste time, and what you learn really sticks in your mind!

⬅️ Data science statistics and probability topics
⬅️ Clustering
⬅️ Principal Component Analysis (PCA)
⬅️ Bagging and Boosting techniques
⬅️ Linear regression
⬅️ Neural networks and more...

┌ 📂 Int Data Science Python Dash
└ 🐱 GitHub-Repos

👉

@codeprogrammer

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754 viewsedited 20:18

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