Project
Reveal Categories Found in Data
- GemiddeldVaardigheidsniveau
- 4.5+
- 114
Apply clustering and NLP techniques to sort text data from negative reviews in the Google Play Store into categories.
Machine learning
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Project
Exploring Experimental Design in the Energy Field
- GemiddeldVaardigheidsniveau
- 4.3+
- 114
Analyze CO2 emissions across geographical regions and fuel sources to understand environmental impacts in the energy sector.
Kansrekening en statistiek
Project
Understanding Search Interest with Google Trends
- GemiddeldVaardigheidsniveau
- 4.3+
- 112
Manipulate and plot time series data from Google Trends to analyze changes in search interest over time.
Datavisualisatie
Project
Insurance Claim Processing with Pinecone
- GemiddeldVaardigheidsniveau
- 3.9+
- 108
Process insurance claims with a Pinecone vector database and OpenAI embeddings.
Kunstmatige intelligentie
Project
Deciphering Customer Buying Cycles in Grocery Stores
- GemiddeldVaardigheidsniveau
- 4.2+
- 103
Analyze grocery store data to identify shopping patterns and preferences.
Datamanipulatie, Softwareontwikkeling
Project
Exploring Global Life Expectancy Trends
- GemiddeldVaardigheidsniveau
- 4.1+
- 101
Compare life expectancy across countries and genders with ggplot2.
Datamanipulatie, Datavisualisatie
Project
Demystifying AI: Explaining Demand Forecasting Models
- GemiddeldVaardigheidsniveau
- 4.3+
- 99
Use Explainable AI to understand demand forecasting models and make data-driven decisions.
Kunstmatige intelligentie
Project
Optimize Pricing Predictions with Feature Engineering
- GemiddeldVaardigheidsniveau
- 4.7+
- 90
Improve a Car Price prediction model using Feature Engineering tools
Machine learning
Project
Predicting Movie Rental Durations
- GemiddeldVaardigheidsniveau
- 4.2+
- 72
Build a regression model for a DVD rental firm to predict rental duration. Evaluate models to recommend the best one.
Machine learning
Project
Food Price Forecasting with Functions
- GemiddeldVaardigheidsniveau
- 4.8+
- 70
Write functions to forecast time series of food prices in Rwanda.
Datamanipulatie
Project
Insights into Bicycle Theft using Visualization
- GemiddeldVaardigheidsniveau
- 4.7+
- 66
Determine the patterns where bike theft is most likely to occur using visualizations.
Datavisualisatie