• IntermedioLivello di competenza
• 4.6+
• 96

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

• IntermedioLivello di competenza
• 3.8+
• 96

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

• IntermedioLivello di competenza
• 3.7+
• 89

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

• IntermedioLivello di competenza
• 4.3+
• 88

Analyze grocery store data to identify shopping patterns and preferences.

• AvanzatoLivello di competenza
• 4.2+
• 86

Explore habitat data using factor and survival analysis tools.

• IntermedioLivello di competenza
• 3.5+
• 80

Use Explainable AI to understand demand forecasting models and make data-driven decisions.

• IntermedioLivello di competenza
• 4.3+
• 75

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

• BasicLivello di competenza
• 4.6+
• 68

Analyze data about electronic vehicle charging behavior to better use shared charging stations.

• IntermedioLivello di competenza
• 4.6+
• 66

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

• AvanzatoLivello di competenza
• 4.0+
• 64

Train a reward model based on the trl library.

• IntermedioLivello di competenza
• 4.5+
• 63

Compare life expectancy across countries and genders with ggplot2.

• IntermedioLivello di competenza
• 4.4+
• 61

Improve a Car Price prediction model using Feature Engineering tools

• IntermedioLivello di competenza
• 4.0+
• 56

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

• IntermedioLivello di competenza
• 4.3+
• 55

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

• BasicLivello di competenza
• 4.9+
• 32

Analyze data about electronic vehicle charging behavior to better use shared charging stations.