Predicting employee turnover by analyzing various factors influencing satisfaction and retention. Dataset comprises features such as satisfaction level, last evaluation score, number of projects, etc. The aim is to mitigate turnover and improve workplace conditions proactively.About...
Security Insights Additional navigation options master 1Branch 0Tags Code This branch is5 commits behindternaus/TernausNet:master. TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation ByVladimir IglovikovandAlexey Shvets ...
We use three real categorical data sets as well for the evaluation of the proposed approach. (1) house-votes-84: This is the US voting records in 19846 for each of lower house of the United States Congressmen. There are 435 records. Each data point represents to one Congressman’s vote...
Explore and run machine learning code with Kaggle Notebooks | Using data from Used Car Price Dataset
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Dataset For Car Price Prediction and Advanced Analytics
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NotebookInputOutputLogsComments (0)Input Data 2. Cars Data1.csv(39.06 kB) get_app chevron_right Unable to show preview Unexpected end of JSON input Input (39.06 kB) folder Data Sources arrow_drop_down Cars dataset calendar_view_week 2. Cars Data1.csv...
The evaluation results considering only car images from Autovit.ro were unsatisfactory and differed from the high scores computed for the Mobile.de dataset. As such, we tested whether the training carried out on the larger dataset had transfer-learning capabilities and could improve the results for...
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