0
/ 100
Good shape overall. A few tweaks would push it into the top tier.
ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
Top fixes
Highest-impact changes first, ranked by point weight
- 1Tests18pt
Wire your tests to a documented command (e.g. a test script in your build config) so the suite is reproducible.
- 2CI/CD14pt
Add a step like `run: npm test`, `run: pytest`, or `run: tox` to your workflow file.
- 3CI/CD14pt
Add a lint step to catch style issues automatically.
- 4CI/CD14pt
Add `tsc --noEmit`, `mypy`, or `cargo check` to catch type errors before they merge.
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Scorecard
Every check, grouped by category and sorted worst-first
Documentation
96
Contributing guide is detailed and thorough.
This repository is large enough that GitHub truncated the file tree. The scan is based on a partial file list, so some checks may under-report.
README documents how to install the project.
Licensed under MIT.
Engineering
68
No linter or formatter config found.
→ Add a linter config such as .eslintrc.json, .prettierrc, ruff.toml, or .golangci.yml to enforce consistent code style.
CI is configured (.github/workflows/build.yml).
Test files detected (AI-Based QR Code Detection/tests).
Lockfile present (AI-Based QR Code Detection/requirements.txt). Installs are reproducible.
Issue or PR templates present.
Project health
94
.gitignore present.
Dependency manifest found (AI-Based QR Code Detection/requirements.txt).
Repository has a description.
Actively maintained (pushed within the last month).
Repository health signals
Activity, community, and responsiveness at scan time
Activity
- -Commits (30d / 90d)
- 717Forks
- 0Releases
Community
- -Community health
- -authors own >50% of commits
- 672Watchers
Responsiveness
- 6hMedian issue response
- 12hMedian PR merge time
- 892Open issues
Repository files127 root entries
- .githubGood: CI is configured (.github/workflows/build.yml).Good: Issue or PR templates present.
- .idea
- Advanced Visualizations
- AI_Language_Learning_Assistant
- AI_Resume Analyzer
- AI-Based QR Code DetectionGood: Test files detected (AI-Based QR Code Detection/tests).Good: Lockfile present (AI-Based QR Code Detection/requirements.txt). Installs are reproducible.Good: Dependency manifest found (AI-Based QR Code Detection/requirements.txt).
- Algorithmic_Trading_Strategy_Optimization_Using_Genetic_Algorithms
- Alzheimer's Disease Predictor
- Analysis_&_predict_Black_friday_sale
- Animal_Detection_Alert_System
- Anime Data Analysis and Prediction
- ANN_Energy_Consumption_Predictor
- Anomaly Detection in Transactions using Deep Learning
- ANPR_PI
- Artifical neural network from scratch
- Association Rule Implementation
- Audio Classification
- Audio_Deepfake_Detection
- Autism Identification System
- Automated Financial Reporting with Deep Learning
- Automatic Summarization of Scientific Papers
- AutoML_Tabular_Pipeline
- Autonomous Research AI Agent
- Basics of ML and DL
- Basics of Power Bi
- Basics of the Python
- Bidirectional LSTM
- Bird Species Classification Web App
- Bitcoin Price Prediction Web App
- Bitcoin Price Predictor
- Bitcoin_Price_Prediction_Mobile_App
- Brain Tumor Detection
- Breast Cancer Detection using DL with Webapp
- CBT_ChatBot
- Chatbot Using RASA
- Cheat Sheets
- Chi-Square Test
- Chicken_Disease_ClassificationGood: Licensed under MIT.Good: Environment pinned via Chicken_Disease_Classification/Dockerfile.
- Chronic Kidney Disease Prediction
- Class Imbalance problem
- Classification Algorithms
- Cloud Details
- Clustering Algorithms
- Company Bankruptcy Using unsupervised
- Consumer Complaint Dataset
- Continuous Handwriting Text Recognition
- COVID_19-DATA-ANALYSIS
- Covid_Third_Wave_Forecasting
- Covid19 forecasting with prophet
- Credit_Card_Fraud_Anomaly_Detection
- CrowdAI Plant Disease
- Crude oil forecasting
- Customer Segmentation using Machine Learning
- Customer Segmentation USvAlgorithm
- Cyberbullying Classification
- Dark Pattern Detection
- Data Cleaning Techniques
- Data Filling and Cleaning Techniques
- Deep-Fashion-Recommendation-system
- Deepfake_image_analyzer
- Deepfake_video_detection
- Defective Captcha Image Recognition
- Detection_Transformer_DETR
- Different types of Clustering
- Different types of feature selection techniques
- Different_types_of_scaling_Method
- Digital Image Tampering Detection
- Diseases_Prediction
- Driver_Drowsiness_Detection
- Duplicate_Question_pair
- Dynamic Hedging Strategies using Reinforcement Learning
- EDA StackOverflow Survey 2023
- EDA-and-Perform-Modelling-on-Ionosphere-Dataset-main
- Email Classifier
- Email_Intent_Classification_DistilBERT
- Emotion Recognition Based on NLP
- Employee_attrittion_prediction_using_ML
- Engineering Career Role Prediction
- Ensemble Methds in ML
- Explaination and Example for P value with code
- Exploratory-data-analysis
- Extract_Text_from_PDF_using_Python
- Eye_Gaze_Tracking_Attention_Estimation
- Fake_News_Detection
- Feature Eye Disease Classified RNN
- Feature Scaling Techniques
- Feature Selection using Genetic ALgorithm
- Feature_Selection_Analysis
- Feature-Engineering
- Feed-Forward Neural Networks (Deep Learning Algorithm)
- FIFA_World_Cup_2022_Winner_Prediction
- File of SQL Commands
- Finan_AI Financial Advisor
- Financial Crisis Early Warning System
- Financial_Impact_Forecasting
- Fire-Detection-Using-Python-OpenCV
- Fish-Weight-Estimation
- Flight_delay_prediction_project
- Flood_Prediction
- Flower_classification_android_app
- Football_Analyser_using_YOLO
- Foreign Exchange Rate Prediction
- GDP Prediction
- Gender Pay Gap Analysis
- Generating 3D Design Voxels using GANs
- Gesture Control Mouse
- GitHub Topic Scraper
- Google Teachable Machine
- GRAD-CAM-Visualizer
- GUI-JARVIS
- Hand-Written-Digit-Recognition
- Handwritten character recognition
- Handwritten Equation Solver using CNN
- Heart_Predection
- Hindi_Letter_Classification
- .DS_StoreIssue: Build artifacts or local files may be committed (.DS_Store) (−40 pts).Fix: Remove them and add to .gitignore.
- .gitignoreGood: .gitignore present.
- Activation Functions.md
- Analysis_of_Temperature_Rise_in_PMSM.ipynb
- AutoML_GSSoC.ipynb
- Beautiful Soup.ipynb
- CODE_OF_CONDUCT.mdGood: Code of conduct present.
- CONTRIBUTING.mdGood: Contributing guide is detailed and thorough.Issue: Contributing guide lacks a setup section (−12 pts).Fix: Show new contributors how to get a local dev environment running.Issue: Contributing guide lacks a code style section (−8 pts).Fix: Describe your linting/formatting rules and how to run them.Issue: Contributing guide lacks a testing section (−8 pts).Fix: Show contributors how to run the test suite (e.g. npm test, pytest, cargo test).Good: Contributing guide describes the PR/review workflow.Good: Contributing guide includes code examples.
- Copy_of_Fake_News_Detection.ipynb
- Diabetes Prediction
- Ensemble learning.docx
- Ensemble-Learning (Stacking)
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