Projekt
Predicting Traffic Volume with PyTorch
- MittelSchwierigkeitsgrad
- 4.5+
- 126
Build a PyTorch-powered traffic prediction system using time-series skills and deep learning to forecast traffic volume.
Künstliche Intelligenz
In Projekten kannst du deine Fähigkeiten mit Tools wie Data Notebooks anwenden und eine Datenanalyse von Anfang bis Ende durchführen.
Projekt
Build a PyTorch-powered traffic prediction system using time-series skills and deep learning to forecast traffic volume.
Künstliche Intelligenz
Projekt
Explore habitat data using factor and survival analysis tools.
Probabilistik & Statistik
Projekt
Analyze grocery store data to identify shopping patterns and preferences.
Datenbearbeitung, Softwareentwicklung
Projekt
Process insurance claims with a Pinecone vector database and OpenAI embeddings.
Künstliche Intelligenz
Projekt
Use SQL to analyze a database containing information about Transport for London journeys over 12 years!
Data Engineering, Data Warehouse
Projekt
Analyze data about electronic vehicle charging behavior to better use shared charging stations.
Explorative Datenanalyse
Projekt
Train a reward model based on the trl library.
Künstliche Intelligenz
Projekt
Use SQL to figure out the golden era of video games!
Datenbearbeitung
Projekt
Improve a Car Price prediction model using Feature Engineering tools
Maschinelles Lernen
Projekt
Determine the patterns where bike theft is most likely to occur using visualizations.
Datenvisualisierung
Projekt
Build a regression model for a DVD rental firm to predict rental duration. Evaluate models to recommend the best one.
Maschinelles Lernen
Projekt
Analyze data about electronic vehicle charging behavior to better use shared charging stations.
Explorative Datenanalyse
Projekt
Write functions to forecast time series of food prices in Rwanda.
Datenbearbeitung
Projekt
Apply your knowledge of data types and categorical data to prepare a big dataset for modeling!
Datenbearbeitung
Projekt
Analyze data about electronic vehicle charging behavior to better use shared charging stations.
Explorative Datenanalyse