Here is Task 5: Credit card fraud detection using machine learning, for my data science internship with Codsoft
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Updated
Mar 31, 2024 - Jupyter Notebook
Here is Task 5: Credit card fraud detection using machine learning, for my data science internship with Codsoft
A method for sampling a balanced dataset from biased signals by leveraging statistical distributions derived from the data.
Process of data preparaton in R.
A Python package implementing flexible subset selection for data visualization along with the data, figures, and examples demonstrating its use.
Here is Task 5: Credit card fraud detection using machine learning, for my data science internship with Codsoft
Code and Data for paper: Variation across Scales: Measurement Fidelity under Twitter Data Sampling (ICWSM '20)
Adaptive data sampling and transmission in a wireless sensor node as a function of energy reserves
Implémentation d'un modèle de scoring (OpenClassrooms | Data Scientist | Projet 7)
Reinforced Data Sampling
TIP2022 Adaptive Boosting (AdaBoost) for Domain Adaptation ? 🤷♀️ Why not ! 🙆♀️
State-of-the-art neural cardinality estimators for join queries
Microarchitectural exploitation and other hardware attacks.
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
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