https://chcha.in/tags/machine-learning/Recent content in Machine Learning on Dev PortfolioHugoen-usThu, 13 Feb 2025 00:00:00 +0000https://chcha.in/projects/sentiment-analysis/Thu, 13 Feb 2025 00:00:00 +0000https://chcha.in/projects/sentiment-analysis/Overview Sentiment-Analysis is a sophisticated hybrid application that bridges Node.js and Python. It uses Node.js/Express for a robust backend API and delegates complex NLP tasks to a Python engine using TextBlob and NLTK. Key Features 🧠 Hybrid Architecture: Seamless integration of Node.js runtime and Python analysis engine 📊 Visual Insights: Generates word clouds and visual data representations ⚡ Real-time Analysis: Instant sentiment classification (Positive, Neutral, Negative) 📁 File Upload: Support for analyzing bulk text data via CSV uploads 🎨 Modern UI: Clean interface built with Vanilla JS and CSS3 variables Tech Stack Technology Purpose Node.https://chcha.in/projects/ml-sandbox/Fri, 27 Dec 2024 00:00:00 +0000https://chcha.in/projects/ml-sandbox/Overview ML-Sandbox allows users to run machine learning experiments directly from the browser. Unique in its architecture, it connects a web frontend to a Jupyter Notebook backend to execute Python code dynamically. Key Features 📂 Drag & Drop Upload: CSV dataset support 🧠 Interactive Algorithms: Classification, Find-S, Candidate Key ⚡ Jupyter Integration: Executes logic via notebooks 📊 Auto-Visualization: Renders results instantly on the web UI Tech Stack Technology Purpose Jupyter ML Execution Environment Flask Backend Server Python Logic Core Pandas/Scikit Data libraries Getting Started git clone https://github.