Benchmark for Burk et al. (2024)
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Updated
Feb 6, 2026 - R
Benchmark for Burk et al. (2024)
Testing out ClearML.
Here I analysed data and made pipeline out of it making model making/training/testing/selecting and hyperparameters selecting more user friendly and visualised, like an application. I have worked for this project ~2 weeks.
Cab Fare Prediction uses machine learning to estimate taxi fares from trip features such as distance, time, and passenger details. The project covers data preprocessing, model training, evaluation, and prediction using ensemble techniques.
Analyzing and classifying French tweets related to global warming and drought using NLP and Machine Learning. - Analyse et classification des tweets français parlant du réchauffement climatique et de la sécheresse en utilisant le traitement du langage naturel (NLP) et l'apprentissage automatique.
Python programming labs done throughout the course CSC406 - Artificial Intelligence
Prediction of happy Customers based on Happiness Survey Data
Analyzing housing complaints in New-York-City and develop a forecasting model
By integrating geographical data analysis and statistical modeling, CTCA aims to inform strategies for reducing crash rates and enhancing road safety. This initiative combines innovative data processing techniques with advanced analytics to offer actionable recommendations for policymakers, urban planners, and public safety organizations.
An interpretable deep learning framework for CIFAR-10, utilizing ResNet architectures and forensic diagnostics to bridge the gap between accuracy and model trust.
client subsection to a term deposit
Marketing strategies on the sales volume and average retail price (ARP) of Good Belly products. Using a dataset encompassing sales, promotions, and demographic information across multiple regions, this project employs causal analysis and multiple linear regression to provide insights into the effectiveness of marketing activities.
Text Processing RNN leverages RNN and LSTM models for advanced text processing. It features deep learning techniques for NLP tasks, utilizing GloVe for word embeddings, aimed at both educational and practical applications.
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