Michaël Karpe's Projects
ABIDES: Agent-Based Interactive Discrete Event Simulation
List of selected AI/ML books that caught my attention
List of selected AI/ML courses at UC Berkeley & Stanford University
Citadel UC Berkeley 2019 Data Open: analyze employment, financial & immigration data to understand causes and consequences of Brexit.
A comparitive study of different machine and deep learning outlier detection algorithms for credit card fraud detection
Build a simple text mining dashboard using Dash and Plotly (2019).
Build a Complex Reporting Dashboard using Dash and Plotly
Identify the severity level of diabetic retinopathy eye disease using EfficientNet (2020).
Implementation of EfficientNet model. Keras and TensorFlow Keras.
European Elections in France: understanding the geographical spread of the far-right vote in the department of Nîmes, where I'm from (2019).
Fraud detection as a cost optimization problem: when false negatives cost more than false positives (2019).
🏅 Collection of Kaggle Solutions and Ideas 🏅
First place notebooks of Google Cloud & NCAA March Madness Kaggle Analytics competition (2020).
My GitHub README
Michaël Karpe's Website
mybot: my Chatbot framework
mylearn: my Machine Learning framework (WIP).
First place notebook of UC Berkeley NYC Taxi Trip Duration Kaggle competition (2020).
Applied Mathematics & Computer Science Projects at Ecole des Ponts ParisTech (2017-2018). See https://michaelkarpe.github.io
A Python SDK for Vertex AI, a fully managed, end-to-end platform for data science and machine learning.