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Progetto

Detecting Anomalous Transactions

  • IntermedioLivello di competenza
  • 4.2+
  • 124

Dive into the world of banking transactions to uncover hidden anomalies and protect customer confidence. Ready to take on the challenge?

Probabilità e Statistica

1-2 hours

Progetto

Reveal Categories Found in Data

  • IntermedioLivello di competenza
  • 4.7+
  • 115

Apply clustering and NLP techniques to sort text data from negative reviews in the Google Play Store into categories.

Machine Learning

1-2 hours

Progetto

Insurance Claim Processing with Pinecone

  • IntermedioLivello di competenza
  • 3.3+
  • 113

Process insurance claims with a Pinecone vector database and OpenAI embeddings.

Intelligenza artificiale

1-2 hours

Progetto

Exploring Experimental Design in the Energy Field

  • IntermedioLivello di competenza
  • 4.6+
  • 104

Analyze CO2 emissions across geographical regions and fuel sources to understand environmental impacts in the energy sector.

Probabilità e Statistica

1-2 hours

Progetto

Optimize Pricing Predictions with Feature Engineering

  • IntermedioLivello di competenza
  • 4.8+
  • 94

Improve a Car Price prediction model using Feature Engineering tools

Machine Learning

1-2 hours

Progetto

Exploring Global Life Expectancy Trends

  • IntermedioLivello di competenza
  • 4.3+
  • 89

Compare life expectancy across countries and genders with ggplot2.

Data manipulation, Data Visualization

1-2 hours

Progetto

Food Price Forecasting with Functions

  • IntermedioLivello di competenza
  • 4.7+
  • 81

Write functions to forecast time series of food prices in Rwanda.

Data manipulation

1-2 hours

Progetto

Insights into Bicycle Theft using Visualization

  • IntermedioLivello di competenza
  • 4.1+
  • 79

Determine the patterns where bike theft is most likely to occur using visualizations.

Data Visualization

1-2 hours

Progetto

Predicting Movie Rental Durations

  • IntermedioLivello di competenza
  • 4.5+
  • 64

Build a regression model for a DVD rental firm to predict rental duration. Evaluate models to recommend the best one.

Machine Learning

1-2 hours