niketkumardheeryan/ml-capsule
Grade a repo

0

/ 100

GradeB

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.

Documentation96
Engineering68
Health94
Jupyter Notebook672MITtoday

Documentation

96

Contributing guide5pt77

Contributing guide is detailed and thorough.

README12pt100

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.

Install and run instructions9pt100

README documents how to install the project.

License6pt100

Licensed under MIT.

Engineering

68

Linting and formatting5pt0

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/CD14pt57

CI is configured (.github/workflows/build.yml).

Tests18pt80

Test files detected (AI-Based QR Code Detection/tests).

Reproducibility6pt80

Lockfile present (AI-Based QR Code Detection/requirements.txt). Installs are reproducible.

Issue and PR templates6pt100

Issue or PR templates present.

Project health

94

Housekeeping3pt60

.gitignore present.

Dependency manifest6pt100

Dependency manifest found (AI-Based QR Code Detection/requirements.txt).

Repository metadata5pt100

Repository has a description.

Activity5pt100

Actively maintained (pushed within the last month).

Repository health signals

Activity, community, and responsiveness at scan time

Activity

  • -
    Commits (30d / 90d)
  • 717
    Forks
  • 0
    Releases

Community

  • -
    Community health
  • -
    authors own >50% of commits
  • 672
    Watchers

Responsiveness

  • 6h
    Median issue response
  • 12h
    Median PR merge time
  • 892
    Open issues
Repository files127 root entries
  • .github
    Good: 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 Detection
    Good: 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_Classification
    Good: 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_Store
    Issue: Build artifacts or local files may be committed (.DS_Store) (−40 pts).Fix: Remove them and add to .gitignore.
  • .gitignore
    Good: .gitignore present.
  • Activation Functions.md
  • Analysis_of_Temperature_Rise_in_PMSM.ipynb
  • AutoML_GSSoC.ipynb
  • Beautiful Soup.ipynb
  • CODE_OF_CONDUCT.md
    Good: Code of conduct present.
  • CONTRIBUTING.md
    Good: 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)