• MenengahTingkat Keterampilan
• 3.8+
• 96

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

• DasarTingkat Keterampilan
• 3.8+
• 96

Use R to make art and create imaginary flowers inspired by nature.

• MenengahTingkat Keterampilan
• 3.7+
• 89

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

• LanjutanTingkat Keterampilan
• 4.2+
• 87

Explore habitat data using factor and survival analysis tools.

• MenengahTingkat Keterampilan
• 4.3+
• 86

Analyze grocery store data to identify shopping patterns and preferences.

• MenengahTingkat Keterampilan
• 3.5+
• 81

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

• MenengahTingkat Keterampilan
• 4.3+
• 74

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

• DasarTingkat Keterampilan
• 4.5+
• 70

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

• MenengahTingkat Keterampilan
• 4.6+
• 66

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

• MenengahTingkat Keterampilan
• 4.5+
• 65

Compare life expectancy across countries and genders with ggplot2.

• LanjutanTingkat Keterampilan
• 4.0+
• 65

Train a reward model based on the trl library.

• MenengahTingkat Keterampilan
• 4.4+
• 62

Improve a Car Price prediction model using Feature Engineering tools

• MenengahTingkat Keterampilan
• 4.3+
• 55

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

• MenengahTingkat Keterampilan
• 4.0+
• 54

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

• DasarTingkat Keterampilan
• 4.9+
• 33

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