Projects

• AdvancedSkill Level
• 4.4+
• 1,948 reviews

Perform a machine learning experiment to find the best model that predicts the temperature in London!

• BasicSkill Level
• 4.5+
• 1,173 reviews

Use SQL to analyze a database containing information about Transport for London journeys over 12 years!

• AdvancedSkill Level
• 4.3+
• 770 reviews

Use PySpark to build an e-commerce forecasting model!

• AdvancedSkill Level
• 4.0+
• 1,361 reviews

Develop an inventory management system for a retail business using OOP in Python.

• AdvancedSkill Level
• 4.4+
• 1,128 reviews

Step into a data engineers shoes and master data cleaning with PySpark on an e-commerce orders dataset!

• BasicSkill Level
• 4.5+
• 499 reviews

Use OpenAIs powerful API to enrich and summarize stock market data.

• AdvancedSkill Level
• 4.6+
• 349 reviews

Help the bank monitoring their fraud detection model and figuring out why its not performing as expected.

• BasicSkill Level
• 4.2+
• 1,126 reviews

Sharpen your debugging skills to enhance sales data accuracy.

• IntermediateSkill Level
• 3.8+
• 1,544 reviews

Examine flight delays & cancellations to uncover insights.

• IntermediateSkill Level
• 4.3+
• 877 reviews

Ready to analyze and visualize financial ratios? In this project, you will take on real-world challenges like evaluating the profitability and leverage of companies across industries.

• BasicSkill Level
• 4.4+
• 1,943 reviews

Create custom Python functions to validate user input!

• BasicSkill Level
• 4.2+
• 1,747 reviews

Exploring flight data from NYC using advanced data joining techniques in R.

• BasicSkill Level
• 4.2+
• 1,862 reviews

Use a variety of data manipulation techniques to explore different aspects of Legos history.

• IntermediateSkill Level
• 4.2+
• 1,080 reviews

Query the VatComply API to gather exchange rate information and incorporate into a sales orders dataset!

• AdvancedSkill Level
• 4.2+
• 695 reviews

Use deep learning to automate the classification of service desk tickets.

• IntermediateSkill Level
• 4.0+
• 792 reviews

Build an AI-powered inbox assistant to classify your emails using Llama.

• IntermediateSkill Level
• 4.2+
• 542 reviews

Use mean-variance optimization to find optimal portfolio weights and then check how well they would have performed.

• IntermediateSkill Level
• 4.2+
• 2,408 reviews

Chart electric vehicle charging trends to inform strategic planning.

• BasicSkill Level
• 4.5+
• 1,698 reviews

Use SQL to analyze a database containing information about Transport for London journeys over 12 years!

• IntermediateSkill Level
• 4.0+
• 1,256 reviews

Build models predicting customer churn for Indian telecom customers.

• AdvancedSkill Level
• 4.4+
• 620 reviews

Use logistic regression to determine which treatment procedure is more effective for kidney stone removal.

• IntermediateSkill Level
• 4.3+
• 505 reviews

Powering Data for the Department of Energy - Building an ETL Pipeline

• IntermediateSkill Level
• 4.4+
• 645 reviews

Explore facial recognition with ML by distinguishing Arnold Schwarzenegger from others using Python and scikit-learn.

• BasicSkill Level
• 4.3+
• 1,888 reviews

Automatically generate keywords for a search engine marketing campaign using Python to send website visitors to the right landing page.

• IntermediateSkill Level
• 3.9+
• 1,202 reviews

Use joining techniques to discover the oldest businesses in the world.

• IntermediateSkill Level
• 4.4+
• 1,280 reviews

Analyze online shopping habits: returning vs. new customers using statistics & probability techniques!

• AdvancedSkill Level
• 4.2+
• 739 reviews

Explore transportation time series data analysis to uncover patterns and forecast travel costs.

• IntermediateSkill Level
• 4.3+
• 849 reviews

Use MLBs Statcast data to compare New York Yankees sluggers Aaron Judge and Giancarlo Stanton.

• IntermediateSkill Level
• 4.4+
• 708 reviews

Generate features from text and numeric variables to predict the popularity of books.

• BasicSkill Level
• 4.4+
• 282 reviews

Build interactive stock charts with Plotly and uncover financial trends in the fast food industry.