Progetto

• AvanzatoLivello di competenza
• 3.9+
• 329

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

Progetto

• BasicLivello di competenza
• 4.1+
• 324

Sharpen your debugging skills to enhance sales data accuracy.

Progetto

• IntermedioLivello di competenza
• 4.0+
• 324

Chart electric vehicle charging trends to inform strategic planning.

Progetto

• BasicLivello di competenza
• 4.1+
• 322

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

Progetto

• BasicLivello di competenza
• 4.3+
• 320

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

Progetto

• IntermedioLivello di competenza
• 3.0+
• 319

Examine flight delays & cancellations to uncover insights.

Progetto

• IntermedioLivello di competenza
• 4.1+
• 316

Perform a hypothesis test to determine if more goals are scored in womens soccer matches than mens!

Progetto

• IntermedioLivello di competenza
• 3.7+
• 311

Analyze product data for an online sports retail company to optimize revenue.

Progetto

• BasicLivello di competenza
• 4.1+
• 309

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

Progetto

• BasicLivello di competenza
• 4.1+
• 293

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

Progetto

• AvanzatoLivello di competenza
• 4.1+
• 293

Train a simple reinforcement learning agent in stock trading simulation.

Progetto

• IntermedioLivello di competenza
• 4.6+
• 292

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

Progetto

• IntermedioLivello di competenza
• 4.2+
• 282

Apply your importing and cleaning data and data manipulation skills to explore New York City Airbnb data.

Progetto

• IntermedioLivello di competenza
• 3.7+
• 278

Build models predicting customer churn for Indian telecom customers.

Progetto

• AvanzatoLivello di competenza
• 4.0+
• 276

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

Progetto

• IntermedioLivello di competenza
• 3.8+
• 275

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

Progetto

• BasicLivello di competenza
• 4.3+
• 274

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

Progetto

• AvanzatoLivello di competenza
• 4.5+
• 256

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

Progetto

• AvanzatoLivello di competenza
• 3.7+
• 254

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

Progetto

• BasicLivello di competenza
• 4.4+
• 253

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

Progetto

• IntermedioLivello di competenza
• 4.1+
• 252

Analyze subscription data for a SaaS company to identify what drives customer subscription renewals.

Progetto

• AvanzatoLivello di competenza
• 4.2+
• 244

Transcribe customer support audio calls, evaluate sentiment, search in text and identify common entities to improve customer service!

Progetto

• IntermedioLivello di competenza
• 3.4+
• 244

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

Progetto

• IntermedioLivello di competenza
• 3.7+
• 243

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

Progetto

• IntermedioLivello di competenza
• 4.1+
• 239

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

Progetto

• IntermedioLivello di competenza
• 4.4+
• 230

Classify food images using Hugging Face models, automatically recognizing and categorizing food items.

Progetto

• IntermedioLivello di competenza
• 4.3+
• 230

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

Progetto

• IntermedioLivello di competenza
• 4.6+
• 228

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

Progetto

• IntermedioLivello di competenza
• 3.9+
• 223

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

Progetto

• BasicLivello di competenza
• 4.4+
• 203

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