A Streamlit-powered machine learning playground that automatically detects classification or regression tasks, builds pipelines with preprocessing, trains models interactively, and visualizes metrics using Plotly. Backward-compatible, fully responsive, and deployable on Streamlit Cloud or Docker.
☆22Nov 3, 2025Updated 4 months ago
Alternatives and similar repositories for ML-Playground-Autodetect
Users that are interested in ML-Playground-Autodetect are comparing it to the libraries listed below
Sorting:
- A Streamlit + SQLite + Python dashboard for monitoring content performance KPIs. Tracks impressions, clicks, conversions, CTR, and conver…☆25Oct 28, 2025Updated 4 months ago
- Noise Injection Techniques provides a comprehensive exploration of methods to make machine learning models more robust to real-world bad …☆22Nov 15, 2025Updated 4 months ago
- Missing Data Doctor is a diagnostic and treatment toolkit for missing values in machine learning datasets. It profiles missingness patter…☆20Nov 15, 2025Updated 4 months ago
- A long-form article and practical framework for designing machine learning systems that warn instead of decide. Covers regimes vs decimal…☆18Dec 20, 2025Updated 3 months ago
- An explainable AI system that combines Graph Intelligence, Vector Search, and Retrieval-Augmented Generation (RAG) to deliver grounded an…☆26Nov 1, 2025Updated 4 months ago
- Forecast factory is an interactive AI-powered forecasting and simulation tool built with Python, Streamlit, Prophet, and SQL. It enables …☆23Nov 7, 2025Updated 4 months ago
- Analyze employee performance and productivity using SQL and Python. Build HR dashboards to evaluate departmental KPIs, efficiency trends,…☆32Oct 22, 2025Updated 4 months ago
- A professional exploration of reflective analytics, dashboards that evolve through user interaction. This project reimagines BI systems a…☆23Nov 5, 2025Updated 4 months ago
- A long-form essay exploring the philosophy of minimalist AI, how future intelligent systems can be calm, ethical, and invisible. Inspired…☆24Nov 2, 2025Updated 4 months ago
- A deep technical article exploring how AI, feature engineering, and static smart-contract analysis uncover rugpull risks before humans de…☆21Nov 19, 2025Updated 4 months ago
- A comprehensive, professional guide explaining the differences, strengths, and best practices of Retrieval-Augmented Generation (RAG) and…☆26Oct 31, 2025Updated 4 months ago
- An explanation-first HR analytics system that reconstructs why employee exit becomes rational. Instead of predicting attrition, it genera…☆17Dec 18, 2025Updated 3 months ago
- Predict the profitability of potential coffee shop locations using SQL and Python. Combines data engineering with feature-rich regression…☆42Oct 23, 2025Updated 4 months ago
- A comprehensive deep dive into how Variational Autoencoders (VAEs) learn to generate realistic synthetic tabular data. This project explo…☆22Nov 10, 2025Updated 4 months ago
- Customer reviews sentiment analysis with Python and NLP. Generates a synthetic dataset of positive, neutral, and negative reviews, applie…☆27Sep 11, 2025Updated 6 months ago
- A long-form systems essay arguing that machine learning fails when used as an automated decision-maker in unstable environments. It refra…☆16Dec 18, 2025Updated 3 months ago
- An AI-driven productivity tracking app built with Python, Streamlit, SQLite, and Machine Learning. It logs and analyzes study sessions, p…☆32Nov 20, 2025Updated 4 months ago
- A hands-on project for forecasting time-series with PyTorch LSTMs. It creates realistic daily data (trend, seasonality, events, noise), p…☆27Sep 11, 2025Updated 6 months ago
- End-to-end demand forecasting with Python using synthetic time-series sales data. Includes data generation, cleaning, ARIMA/SARIMA model …☆29Sep 11, 2025Updated 6 months ago
- Image classification with PyTorch using Convolutional Neural Networks (CNNs). Trains on MNIST with convolution, pooling, and fully connec…☆28Sep 11, 2025Updated 6 months ago
- A PyTorch implementation of a Deep Convolutional GAN (DCGAN) trained on MNIST. Includes training scripts, generator & discriminator model…☆30Sep 12, 2025Updated 6 months ago
- Hybrid AI is the future of explainable intelligence. This article explores how combining vector search, knowledge graphs, and retrieval-a…☆23Nov 1, 2025Updated 4 months ago
- Predict stock prices using LSTM networks in PyTorch. This project covers data preprocessing, sliding window creation, model training with…☆40Sep 13, 2025Updated 6 months ago
- A detailed educational article exploring how Streamlit revolutionizes AI app development. Learn how this Python framework bridges the gap…☆24Oct 30, 2025Updated 4 months ago
- Detect suspicious financial transactions using SQL and Python. Build user-level behavioral features in SQLite, apply Isolation Forest for…☆30Oct 21, 2025Updated 4 months ago
- An end-to-end image captioning project using a CNN encoder (ResNet-50) and LSTM decoder in PyTorch. Includes vocabulary building, preproc…☆47Sep 13, 2025Updated 6 months ago
- Detect and classify fraudulent transactions using SQL and Python. Generate behavioral features with SQLite, train a Logistic Regression m…☆34Oct 21, 2025Updated 4 months ago
- Movie recommendation system with Python. Implements content-based filtering (TF-IDF + cosine similarity), collaborative filtering with ma…☆31Sep 11, 2025Updated 6 months ago
- Python project for Market Basket Analysis. Generates synthetic retail transactions, mines frequent itemsets using Apriori & FP-Growth, de…☆38Oct 16, 2025Updated 5 months ago
- A complete NLP and Machine Learning project to detect fake and real news using TF-IDF and Logistic Regression. Includes full training pip…☆53Oct 26, 2025Updated 4 months ago
- End-to-end sentiment analysis of tweets using BERT. Includes preprocessing, training, and evaluation with classification reports, confusi…☆42Sep 17, 2025Updated 6 months ago
- Synthetic sales data analysis with Python. Generate realistic sales transactions, clean and validate data, compute KPIs, and visualize re…☆31Oct 30, 2025Updated 4 months ago
- Customer churn prediction with Python using synthetic datasets. Includes data generation, feature engineering, and training with Logistic…☆27Sep 11, 2025Updated 6 months ago
- I’m Amirhosein Honardoust, a passionate developer and data scientist with experience in Python, PyTorch, deep learning, and machine learn…☆41Feb 27, 2026Updated 3 weeks ago
- ☆12Apr 28, 2025Updated 10 months ago
- ☆12Jun 19, 2024Updated last year
- A snake game for MS-DOS. 🐍☆19Sep 3, 2024Updated last year
- This is the GitHub repository for my Masters dissertation titled: Artificial Intelligence for Web Accessibility which I completed as a pa…☆11Sep 29, 2021Updated 4 years ago
- My profile☆26Updated this week