Proyectos

• AvanzadoNivel de habilidad
• 4.5+
• 373

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

• IntermedioNivel de habilidad
• 4.2+
• 356

Building an image processing pipeline for data augmentation.

• IntermedioNivel de habilidad
• 3.8+
• 355

Chart electric vehicle charging trends to inform strategic planning.

• BásicoNivel de habilidad
• 4.2+
• 354

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

• AvanzadoNivel de habilidad
• 4.1+
• 333

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

• AvanzadoNivel de habilidad
• 3.8+
• 331

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

• IntermedioNivel de habilidad
• 3.6+
• 325

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

• IntermedioNivel de habilidad
• 4.0+
• 316

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

• IntermedioNivel de habilidad
• 4.2+
• 313

Use web scraping and NLP to find the most frequent words in classic literature: Herman Melvilles novel, Moby Dick.

• AvanzadoNivel de habilidad
• 4.0+
• 312

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

• IntermedioNivel de habilidad
• 4.1+
• 310

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

• AvanzadoNivel de habilidad
• 4.1+
• 300

Train a simple reinforcement learning agent in stock trading simulation.

• IntermedioNivel de habilidad
• 3.6+
• 297

Build models predicting customer churn for Indian telecom customers.

• IntermedioNivel de habilidad
• 4.0+
• 292

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

• BásicoNivel de habilidad
• 4.2+
• 288

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

• BásicoNivel de habilidad
• 4.4+
• 287

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

• BásicoNivel de habilidad
• 4.3+
• 286

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

• IntermedioNivel de habilidad
• 3.7+
• 286

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

• BásicoNivel de habilidad
• 3.9+
• 283

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

• BásicoNivel de habilidad
• 4.1+
• 278

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

• IntermedioNivel de habilidad
• 4.0+
• 267

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

• AvanzadoNivel de habilidad
• 3.9+
• 266

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

• IntermedioNivel de habilidad
• 3.5+
• 265

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

• AvanzadoNivel de habilidad
• 4.5+
• 261

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

• IntermedioNivel de habilidad
• 4.6+
• 259

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

• IntermedioNivel de habilidad
• 3.4+
• 257

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

• BásicoNivel de habilidad
• 4.3+
• 239

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

• AvanzadoNivel de habilidad
• 4.4+
• 233

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

• IntermedioNivel de habilidad
• 4.3+
• 226

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

• IntermedioNivel de habilidad
• 4.6+
• 207

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