🔥 Trending Repository: rag-from-scratch

📝 Description: No description available

🔗 Repository URL: https://github.com/langchain-ai/rag-from-scratch

📖 Readme: https://github.com/langchain-ai/rag-from-scratch#readme

📊 Statistics:
🌟 Stars: 6.8K stars
👀 Watchers: 60
🍴 Forks: 1.8K forks

💻 Programming Languages: Jupyter Notebook

🏷️ Related Topics: Not available

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: review-prompts

📝 Description: AI review prompts

🔗 Repository URL: https://github.com/masoncl/review-prompts

📖 Readme: https://github.com/masoncl/review-prompts#readme

📊 Statistics:
🌟 Stars: 192 stars
👀 Watchers: 9
🍴 Forks: 29 forks

💻 Programming Languages: Python - Shell

🏷️ Related Topics: Not available

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: skills

📝 Description: Skills Catalog for Codex

🔗 Repository URL: https://github.com/openai/skills

📖 Readme: https://github.com/openai/skills#readme

📊 Statistics:
🌟 Stars: 2.6K stars
👀 Watchers: 26
🍴 Forks: 166 forks

💻 Programming Languages: Python - Shell - JavaScript

🏷️ Related Topics: Not available

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: ccpm

📝 Description: Project management system for Claude Code using GitHub Issues and Git worktrees for parallel agent execution.

🔗 Repository URL: https://github.com/automazeio/ccpm

🌐 Website: https://automaze.io/ccpm

📖 Readme: https://github.com/automazeio/ccpm#readme

📊 Statistics:
🌟 Stars: 6.5K stars
👀 Watchers: 39
🍴 Forks: 684 forks

💻 Programming Languages: Shell - Batchfile

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: vm0

📝 Description: the easiest way to run natural language-described workflows automatically

🔗 Repository URL: https://github.com/vm0-ai/vm0

🌐 Website: https://vm0.ai

📖 Readme: https://github.com/vm0-ai/vm0#readme

📊 Statistics:
🌟 Stars: 522 stars
👀 Watchers: 1
🍴 Forks: 20 forks

💻 Programming Languages: TypeScript - MDX - Shell - CSS - Rust - JavaScript

🏷️ Related Topics:

#react #cli #typescript #containers #sandbox #cloudflare #codex #dev_tools #ai_agent #ai_runtime #gemini_cli #agentic_workflow #claude_code #context_engineer #ai_sandbox

==================================
🧠 By: https://t.iss.one/DataScienceM

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🔥 Trending Repository: claude-code-hooks-mastery

📝 Description: Master Claude Code Hooks

🔗 Repository URL: https://github.com/disler/claude-code-hooks-mastery

📖 Readme: https://github.com/disler/claude-code-hooks-mastery#readme

📊 Statistics:
🌟 Stars: 2.3K stars
👀 Watchers: 52
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💻 Programming Languages: Python - TypeScript

🏷️ Related Topics: Not available

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: anki

📝 Description: Anki is a smart spaced repetition flashcard program

🔗 Repository URL: https://github.com/ankitects/anki

🌐 Website: https://apps.ankiweb.net

📖 Readme: https://github.com/ankitects/anki#readme

📊 Statistics:
🌟 Stars: 26.1K stars
👀 Watchers: 349
🍴 Forks: 2.8K forks

💻 Programming Languages: Rust - Python - Svelte - TypeScript - SCSS - Shell

🏷️ Related Topics: Not available

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: opentelemetry-collector-contrib

📝 Description: Contrib repository for the OpenTelemetry Collector

🔗 Repository URL: https://github.com/open-telemetry/opentelemetry-collector-contrib

🌐 Website: https://opentelemetry.io

📖 Readme: https://github.com/open-telemetry/opentelemetry-collector-contrib#readme

📊 Statistics:
🌟 Stars: 4.3K stars
👀 Watchers: 62
🍴 Forks: 3.3K forks

💻 Programming Languages: Go - Makefile - Go Template - Shell - Dockerfile - Jinja

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: likec4

📝 Description: Visualize, collaborate, and evolve the software architecture with always actual and live diagrams from your code

🔗 Repository URL: https://github.com/likec4/likec4

🌐 Website: https://likec4.dev

📖 Readme: https://github.com/likec4/likec4#readme

📊 Statistics:
🌟 Stars: 1.4K stars
👀 Watchers: 17
🍴 Forks: 117 forks

💻 Programming Languages: TypeScript - MDX - Astro - JavaScript - CSS - Langium

🏷️ Related Topics:

#architecture #diagrams #c4 #architecture_as_code

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🧠 By: https://t.iss.one/DataScienceM

✅ Data Science Project Ideas

1️⃣ Beginner Friendly Projects
• Exploratory Data Analysis (EDA) on CSV datasets
• Student Marks Analysis
• COVID / Weather Data Analysis
• Simple Data Visualization Dashboard
• Basic Recommendation System (rule-based)

2️⃣ Python for Data Science
• Sales Data Analysis using Pandas
• Web Scraping + Analysis (BeautifulSoup)
• Data Cleaning  Preprocessing Project
• Movie Rating Analysis
• Stock Price Analysis (historical data)

3️⃣ Machine Learning Projects
• House Price Prediction
• Spam Email Classifier
• Loan Approval Prediction
• Customer Churn Prediction
• Iris / Titanic Dataset Classification

4️⃣ Data Visualization Projects
• Interactive Dashboard using Matplotlib/Seaborn
• Sales Performance Dashboard
• Social Media Analytics Dashboard
• COVID Trends Visualization
• Country-wise GDP Analysis

5️⃣ NLP (Text  Language) Projects
• Sentiment Analysis on Reviews
• Resume Screening System
• Fake News Detection
• Chatbot (Rule-based → ML-based)
• Topic Modeling on Articles

6️⃣ Advanced ML / AI Projects
• Recommendation System (Collaborative Filtering)
• Credit Card Fraud Detection
• Image Classification (CNN basics)
• Face Mask Detection
• Speech-to-Text Analysis

7️⃣ Data Engineering / Big Data
• ETL Pipeline using Python
• Data Warehouse Design (Star Schema)
• Log File Analysis
• API Data Ingestion Project
• Batch Processing with Large Datasets

8️⃣ Real-World / Portfolio Projects
• End-to-End Data Science Project
• Business Problem → Data → Model → Insights
• Kaggle Competition Project
• Open Dataset Case Study
• Automated Data Reporting Tool

🔥 Trending Repository: cognee

📝 Description: Memory for AI Agents in 6 lines of code

🔗 Repository URL: https://github.com/topoteretes/cognee

🌐 Website: https://www.cognee.ai

📖 Readme: https://github.com/topoteretes/cognee#readme

📊 Statistics:
🌟 Stars: 11.7K stars
👀 Watchers: 59
🍴 Forks: 1.2K forks

💻 Programming Languages: Python - TypeScript - Shell - Dockerfile - CSS - Mako

🏷️ Related Topics:

#open_source #ai #knowledge #neo4j #knowledge_graph #openai #help_wanted #graph_database #ai_agents #contributions_welcome #cognitive_architecture #good_first_issue #rag #good_first_pr #vector_database #graph_rag #ai_memory #cognitive_memory #graphrag #context_engineering

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: fish-shell

📝 Description: The user-friendly command line shell.

🔗 Repository URL: https://github.com/fish-shell/fish-shell

🌐 Website: https://fishshell.com

📖 Readme: https://github.com/fish-shell/fish-shell#readme

📊 Statistics:
🌟 Stars: 32.3K stars
👀 Watchers: 279
🍴 Forks: 2.2K forks

💻 Programming Languages: Rust - Shell - Python - HTML - JavaScript - CMake

🏷️ Related Topics:

#shell #rust #fish #terminal

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: prompt-optimizer

📝 Description: 一款提示词优化器，助力于编写高质量的提示词

🔗 Repository URL: https://github.com/linshenkx/prompt-optimizer

🌐 Website: https://prompt.always200.com

📖 Readme: https://github.com/linshenkx/prompt-optimizer#readme

📊 Statistics:
🌟 Stars: 19.2K stars
👀 Watchers: 77
🍴 Forks: 2.4K forks

💻 Programming Languages: TypeScript - Vue - JavaScript - Shell - CSS - Dockerfile

🏷️ Related Topics:

#prompt #prompt_toolkit #prompt_tuning #llm #prompt_engineering #prompt_optimization

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: anet

📝 Description: Simple Rust VPN Client / Server

🔗 Repository URL: https://github.com/ZeroTworu/anet

📖 Readme: https://github.com/ZeroTworu/anet#readme

📊 Statistics:
🌟 Stars: 268 stars
👀 Watchers: 15
🍴 Forks: 20 forks

💻 Programming Languages: Rust - Inno Setup - Shell - Makefile

🏷️ Related Topics:

#rust #vpn

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: data-engineer-handbook

📝 Description: This is a repo with links to everything you'd ever want to learn about data engineering

🔗 Repository URL: https://github.com/DataExpert-io/data-engineer-handbook

📖 Readme: https://github.com/DataExpert-io/data-engineer-handbook#readme

📊 Statistics:
🌟 Stars: 39.7K stars
👀 Watchers: 466
🍴 Forks: 7.6K forks

💻 Programming Languages: Jupyter Notebook - Python - Makefile - Dockerfile - Shell

🏷️ Related Topics:

#data #awesome #sql #bigdata #dataengineering #apachespark

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🧠 By: https://t.iss.one/DataScienceM

Data Science Interview Prep Guide

1️⃣ Core Data Science Concepts
• What is Data Science vs Data Analytics vs ML
• Descriptive, diagnostic, predictive, prescriptive analytics
• Structured vs unstructured data
• Data-driven decision making
• Business problem framing

2️⃣ Statistics  Probability (Non-Negotiable)
• Mean, median, variance, standard deviation
• Probability distributions (normal, binomial, Poisson)
• Hypothesis testing  p-values
• Confidence intervals
• Correlation vs causation
• Sampling  bias

3️⃣ Data Cleaning  EDA
• Handling missing values  outliers
• Data normalization  scaling
• Feature engineering
• Exploratory data analysis (EDA)
• Data leakage detection
• Data quality validation

4️⃣ Python  SQL for Data Science
• Python (NumPy, Pandas)
• Data manipulation  transformations
• Vectorization  performance optimization
• SQL joins, CTEs, window functions
• Writing business-ready queries

5️⃣ Machine Learning Essentials
• Supervised vs unsupervised learning
• Regression vs classification
• Model selection  baseline models
• Overfitting, underfitting
• Bias–variance tradeoff
• Hyperparameter tuning

6️⃣ Model Evaluation  Metrics
• Accuracy, precision, recall, F1
• ROC  AUC
• Confusion matrix
• RMSE, MAE, log loss
• Metrics for imbalanced data
• Linking ML metrics to business KPIs

7️⃣ Real-World  Deployment Knowledge
• Feature stores
• Model deployment (batch vs real-time)
• Model monitoring  drift
• Experiment tracking
• Data  model versioning
• Model explainability (business-friendly)

8️⃣ Must-Have Projects
• Customer churn prediction
• Fraud detection
• Sales or demand forecasting
• Recommendation system
• End-to-end ML pipeline
• Business-focused case study

9️⃣ Common Interview Questions
• Walk me through an end-to-end DS project
• How do you choose evaluation metrics?
• How do you handle imbalanced data?
• How do you explain a model to leadership?
• How do you improve a failing model?

🔟 Pro Tips
✔️ Always connect answers to business impact 
✔️ Explain why, not just how 
✔️ Be clear about trade-offs 
✔️ Discuss failures  learnings 
✔️ Show structured thinking 

https://t.iss.one/DataScienceN

If you’re prepping for a data science role, this guide has EVERYTHING you need. Check it out! 💡

🔥 Trending Repository: shannon

📝 Description: Fully autonomous AI hacker to find actual exploits in your web apps. Shannon has achieved a 96.15% success rate on the hint-free, source-aware XBOW Benchmark.

🔗 Repository URL: https://github.com/KeygraphHQ/shannon

🌐 Website: https://keygraph.io/

📖 Readme: https://github.com/KeygraphHQ/shannon#readme

📊 Statistics:
🌟 Stars: 7.9K stars
👀 Watchers: 63
🍴 Forks: 1.1K forks

💻 Programming Languages: TypeScript - JavaScript - Shell - Dockerfile

🏷️ Related Topics:

#security_audit #penetration_testing #pentesting #security_automation #security_tools

==================================
🧠 By: https://t.iss.one/DataScienceM