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Tanuj Verma's Projects

autoimagecaption-cnnvsresnet icon autoimagecaption-cnnvsresnet

"AutoImageCaption-CNNvsResNet" leverages the Flickr 8k Dataset to automate image captioning, comparing CNN+LSTM and ResNet+GRU models using BLEU scores for performance evaluation.

bankloan-nn-predictor icon bankloan-nn-predictor

This project utilizes feed-forward neural networks with regularization and the Adam optimizer to predict outcomes from the Loan dataset, achieving up to 80.23% accuracy with insightful performance visualizations such as ROC curves and confusion matrices.

cnn-cifar10-imagelab icon cnn-cifar10-imagelab

This project uses TensorFlow and Keras to develop and optimize CNN models for classifying CIFAR-10's 60,000 32x32 color images across 10 classes, with evaluations via accuracy metrics and hyperparameter tuning.

ecom-review-sentiment icon ecom-review-sentiment

Leveraging the Naive Bayes Classification algorithm and web scraping with BeautifulSoup, this project analyzes sentiments in e-commerce product reviews.

govfoodsafety-insight-engine icon govfoodsafety-insight-engine

The Food-Facility-Compliance-Engine leverages advanced ETL and BI technologies to process and visualize inspection data from Sonoma County's official government database, boosting compliance and safety in local food facilities.

imdb-data-deep-dive icon imdb-data-deep-dive

FilmFlux Analytics : An advanced ETL-to-BI pipeline, transforming movie data into dynamic insights with Alteryx, MySQL, and Talend, visualized through Power BI and Tableau dashboards.

predictmd-symptomdiseasepredictor icon predictmd-symptomdiseasepredictor

A comprehensive diagnostic pipeline that uses symptom data to predict diseases using state-of-the-art machine learning models like SVM and XGBoost.

uber-fare-predictor icon uber-fare-predictor

In the competitive landscape of ride-hailing services, strategic fare pricing is critical for business success and customer satisfaction. This project taps into the potential of data science to create a predictive model for taxi fares, empowering ride-sharing companies to optimize their pricing models dynamically.

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