Machine-Learning-Application
🥈SilverTwitMiner Are you a social media addict? Are you a follower of celebrity pages and accounts? Are you interested in what’s happening around you? Does challenging problems set adrenalin racing through your veins? Then this is the right place to be in. The Computer Science and Automation department of Indian Institute of Science, Bangalore presents the first of its kind Machine Learning contest in India: Develop a prediction algorithm by learning from a collection of texts(tweets) hosted by Twitte
430Updated 2mo ago
Intermediate30min to implementmarketing
Saves ~45 min per use
Quick InstallView Source
git clone https://github.com/madan-ram/Machine-Learning-Application.gitWorks with:
Claude
Overview
About This Skill
Machine-Learning-Application is a machine learning skill developed by the Computer Science and Automation department of Indian Institute of Science, Bangalore. It focuses on developing prediction algorithms trained on Twitter text data, enabling users to analyze and predict patterns in social media content. This skill is designed for those interested in applying machine learning techniques to real-world social media datasets and building predictive models from tweet collections.
Use Cases
Build prediction models trained on Twitter tweet datasets
Analyze social media text patterns and trends
Develop algorithms for tweet classification and sentiment analysis
Process and learn from large collections of social media texts
Setup & Installation
Quick Install
No install command available. Check the GitHub repository for manual installation instructions.
Alternative Install (Git Clone)
git clone https://github.com/madan-ram/Machine-Learning-ApplicationRequirements
- Claude Code or compatible AI agent
- Works with: Claude
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
I need help developing a machine learning algorithm to predict trends from tweets. My company, [COMPANY], operates in the [INDUSTRY] industry. I have a dataset of [NUMBER] tweets related to [TOPIC]. Can you guide me through the steps to build a predictive model using this data?
Example Output
# Machine Learning Algorithm for Tweet Trend Prediction ## Step 1: Data Collection - Gathered 50,000 tweets related to the tech industry using Twitter API. - Data includes timestamps, user information, and tweet content. ## Step 2: Data Preprocessing - Cleaned data by removing URLs, special characters, and stopwords. - Applied tokenization and lemmatization to standardize text. ## Step 3: Feature Extraction - Used TF-IDF to convert text into numerical features. - Extracted additional features like tweet length and sentiment scores. ## Step 4: Model Training - Split data into 80% training and 20% testing sets. - Trained a Random Forest classifier to predict trending topics. ## Step 5: Evaluation - Achieved 85% accuracy on the test set. - Model successfully identifies emerging trends in the tech industry.
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