CODSOFT: A collection of my projects organized into task-based folders, showcasing my work in machine learning, AI, and data science.
A collection of my machine learning projects, each solving a unique problem in data science and AI. Each project folder contains the main code files along with output pictures to showcase the results visually.
Predicts the genre of a movie based on its plot summary using natural language processing (NLP) techniques and machine learning classifiers.
- Techniques: TF-IDF, Word Embeddings
- Models: Naive Bayes, Logistic Regression, Support Vector Machines
- Folder includes: Main code, example output images
Identifies customers likely to leave a subscription-based service using historical data and predictive analytics.
- Features: Customer demographics, account info, and usage patterns
- Models: Logistic Regression, Random Forest, Gradient Boosting
- Folder includes: Main code, output charts/graphs
Classifies SMS messages as spam or legitimate using NLP techniques to protect users from unwanted messages.
- Techniques: TF-IDF, Word Embeddings
- Models: Naive Bayes, Logistic Regression, Support Vector Machines
- Accuracy Achieved: 97.49%
- Folder includes: Main code, spam/ham output visuals
Explore each folder for a detailed view of the code, data processing, and visual outputs that illustrate model performance.
Feel free to reach out with any questions or collaboration ideas!
📧 Contact me: [email protected]