🔥 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

🏷️ Related Topics:

#opentelemetry #open_telemetry

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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

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: litebox

📝 Description: A security-focused library OS supporting kernel- and user-mode execution

🔗 Repository URL: https://github.com/microsoft/litebox

📖 Readme: https://github.com/microsoft/litebox#readme

📊 Statistics:
🌟 Stars: 914 stars
👀 Watchers: 11
🍴 Forks: 40 forks

💻 Programming Languages: Rust - C - JavaScript - CSS - Assembly - Python

🏷️ Related Topics: Not available

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: heretic

📝 Description: Fully automatic censorship removal for language models

🔗 Repository URL: https://github.com/p-e-w/heretic

📖 Readme: https://github.com/p-e-w/heretic#readme

📊 Statistics:
🌟 Stars: 4.5K stars
👀 Watchers: 27
🍴 Forks: 441 forks

💻 Programming Languages: Python

🏷️ Related Topics:

#transformer #llm #abliteration

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: MiniCPM-o

📝 Description: A Gemini 2.5 Flash Level MLLM for Vision, Speech, and Full-Duplex Multimodal Live Streaming on Your Phone

🔗 Repository URL: https://github.com/OpenBMB/MiniCPM-o

📖 Readme: https://github.com/OpenBMB/MiniCPM-o#readme

📊 Statistics:
🌟 Stars: 23.1K stars
👀 Watchers: 156
🍴 Forks: 1.8K forks

💻 Programming Languages: Python - Vue - JavaScript - Shell - Less - CSS

🏷️ Related Topics:

#multi_modal #minicpm #minicpm_v

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: escrcpy

📝 Description: 📱 Display and control your Android device graphically with scrcpy.

🔗 Repository URL: https://github.com/viarotel-org/escrcpy

🌐 Website: https://viarotel.eu.org/

📖 Readme: https://github.com/viarotel-org/escrcpy#readme

📊 Statistics:
🌟 Stars: 7.7K stars
👀 Watchers: 48
🍴 Forks: 563 forks

💻 Programming Languages: JavaScript - Vue - TypeScript - Roff - CSS - VBScript

🏷️ Related Topics:

#android #windows #macos #linux #screenshots #gui #recording #screensharing #mirroring #hacktoberfest #scrcpy #scrcpy_engine #gnirehtet #genymobile #scrcpy_gui #hacktoberfest2025 #hacktoberfest2026

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: awesome-claude-skills

📝 Description: A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows

🔗 Repository URL: https://github.com/ComposioHQ/awesome-claude-skills

📖 Readme: https://github.com/ComposioHQ/awesome-claude-skills#readme

📊 Statistics:
🌟 Stars: 31.5K stars
👀 Watchers: 244
🍴 Forks: 3K forks

💻 Programming Languages: Python - JavaScript - Shell

🏷️ Related Topics:

#automation #skill #mcp #saas #cursor #codex #workflow_automation #ai_agents #claude #rube #gemini_cli #composio #antigravity #agent_skills #claude_code

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: gitbutler

📝 Description: The GitButler version control client, backed by Git, powered by Tauri/Rust/Svelte

🔗 Repository URL: https://github.com/gitbutlerapp/gitbutler

🌐 Website: https://gitbutler.com

📖 Readme: https://github.com/gitbutlerapp/gitbutler#readme

📊 Statistics:
🌟 Stars: 17.7K stars
👀 Watchers: 47
🍴 Forks: 768 forks

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

🏷️ Related Topics:

#github #git #tauri

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🧠 By: https://t.iss.one/DataScienceM

One day or Day one. You decide.

Data Science edition.

𝗢𝗻𝗲 𝗗𝗮𝘆 : I will learn SQL.
𝗗𝗮𝘆 𝗢𝗻𝗲: Download mySQL Workbench.

𝗢𝗻𝗲 𝗗𝗮𝘆: I will build my projects for my portfolio.
𝗗𝗮𝘆 𝗢𝗻𝗲: Look on Kaggle for a dataset to work on.

𝗢𝗻𝗲 𝗗𝗮𝘆: I will master statistics.
𝗗𝗮𝘆 𝗢𝗻𝗲: Start the free Khan Academy Statistics and Probability course.

𝗢𝗻𝗲 𝗗𝗮𝘆: I will learn to tell stories with data.
𝗗𝗮𝘆 𝗢𝗻𝗲: Install Tableau Public and create my first chart.

𝗢𝗻𝗲 𝗗𝗮𝘆: I will become a Data Scientist.
𝗗𝗮𝘆 𝗢𝗻𝗲: Update my resume and apply to some Data Science job postings.


https://t.iss.one/DataScienceN

Don’t wait for the perfect moment. Start today

Install that tool, pick that dataset, take that course. Every big goal begins with Day One 💪