About Quora-Duplicate-Question-Prediction Application 👇

• This Use-case lets quora to avoid the same/repetive questions to be answered over and over again. There by increasing customer experience.
• Application is an binary classification where we've two questions entered in the form and application classifies/predicts whether the given two questions are duplicate or not!
• Dataset link: https://www.kaggle.com/c/quora-question-pairs/data.
• Train data: 4,04,290 are the pairs of quora question.
• Trained using Random Model, Logistic Regression, Linear SVM, & xgboost Machine Learning Models.
• xgboost offered accuracy: train-logloss: 0.34470 | valid-logloss: 0.35853.
• Evaluation Metrics: Log loss & Confusion matrix .

Demo video 📹

• https://youtu.be/H91AFzkzaX4 🎥

Tech stack 🧑‍💻

Machine Learning | Python | AJAX | Bootstrap | VS CODE IDE 💻

Application directory structure 📁

Note: Not to worry if few files are missing in the repo, those file can be generated by running python source files.

Dataset Directory files 📁

How to run ? 🏃

1. Clone/Download the project from github.
2. create new conda/python environment, activate the environment created and install application dependencies via terminal command in root directory of the application by "pip install -r requirments.txt".
3. Run 0.8_prediction.py file.

License 📖

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