GitHub topics: model-evaluation-and-tuning
slds-lmu/paper_2023_survival_benchmark
Benchmark for Burk et al. (2024)
Language: R - Size: 29.1 MB - Last synced at: 7 days ago - Pushed at: 26 days ago - Stars: 4 - Forks: 0
JBris/clearml-testing
Testing out ClearML.
Language: Python - Size: 269 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
semyonsw/Diabetes_Dataset
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.
Language: Jupyter Notebook - Size: 4.47 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
Chenguiti6444/French-Global-Warming-Tweets-Classification-and-Sentiment-Analysis
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.
Language: Jupyter Notebook - Size: 9.1 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
venkat-a/Capstone-Project-IBM
Analyzing housing complaints in New-York-City and develop a forecasting model
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venkat-a/Unveiling-Patterns-in-Traffic-Crashes-A-Data-Driven-Approach-to-Safer-Roads
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.
Language: Jupyter Notebook - Size: 2.08 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
venkat-a/Term-Deposit-Marketing-Prediction
client subsection to a term deposit
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venkat-a/Text_Processing_RNN_LSTM
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.
Language: Jupyter Notebook - Size: 15.6 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
venkat-a/Happiness-Prediction
Prediction of happy Customers based on Happiness Survey Data
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venkat-a/GoodBelly-Marketing-Analytics-Project
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.
Size: 25.4 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0