• IntermedioLivello di competenza
• 4.4+
• 10.222 revisioni

Clean customer data and use logistic regression to predict whether people will make a claim on their car insurance!

• IntermedioLivello di competenza
• 4.2+
• 5673 revisioni

Review a data analysis workflow for adherence to Python standards and best-practices.

• BasicLivello di competenza
• 4.4+
• 5447 revisioni

Dive into sleep data and gain insights about factors that impact sleep quality

• AvanzatoLivello di competenza
• 4.1+
• 4443 revisioni

Identify issues in a manufacturing process using SQL window functions and subqueries

• IntermedioLivello di competenza
• 4.3+
• 2826 revisioni

Build a machine learning model to predict if a credit card application will get approved.

• AvanzatoLivello di competenza
• 4.2+
• 2965 revisioni

Use LLMs to solve diverse language tasks for a car dealership company.

• IntermedioLivello di competenza
• 4.2+
• 2439 revisioni

Develop a multi-input model to classify characters from scanned documents.

• BasicLivello di competenza
• 4.3+
• 5585 revisioni

Use categorization and ranking techniques to explore 101 years of American baby names.

• IntermedioLivello di competenza
• 4.4+
• 4263 revisioni

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

• BasicLivello di competenza
• 4.0+
• 3441 revisioni

Conduct a supply chain analysis of the ingredients used in an avocado toast to gain an understanding of the complex supply chain involved.

• IntermedioLivello di competenza
• 4.4+
• 5002 revisioni

Use SQL to analyze a database containing information about Student performance!

• IntermedioLivello di competenza
• 4.3+
• 4268 revisioni

Manipulate date and time using Python

• IntermedioLivello di competenza
• 4.1+
• 3378 revisioni

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

• BasicLivello di competenza
• 4.3+
• 2760 revisioni

Develop a new app feature with your Python skills to calculate calories and nutrition values from user input.

• AvanzatoLivello di competenza
• 4.4+
• 2270 revisioni

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

• IntermedioLivello di competenza
• 4.3+
• 941 revisioni

Develop a system that can detect Cyber Threats in your companys network traffic logs using Deep Learning.

• IntermedioLivello di competenza
• 4.3+
• 743 revisioni

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

• IntermedioLivello di competenza
• 4.3+
• 2587 revisioni

Enhance your SQL Skills with hands-on data cleaning in PostgreSQL: perform analyses while working with incorrect data types and missing values.

• BasicLivello di competenza
• 4.4+
• 1413 revisioni

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

• BasicLivello di competenza
• 4.3+
• 3167 revisioni

Use data manipulation and visualization to explore a television broadcast dataset from the Super Bowl.

• IntermedioLivello di competenza
• 4.5+
• 402 revisioni

Use regression and machine learning models to predict daily power consumption based on temporal factors.

• AvanzatoLivello di competenza
• 4.0+
• 1667 revisioni

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

• BasicLivello di competenza
• 4.4+
• 2267 revisioni

Create custom Python functions to validate user input!

• IntermedioLivello di competenza
• 4.3+
• 3447 revisioni

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

• BasicLivello di competenza
• 4.4+
• 650 revisioni

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

• BasicLivello di competenza
• 4.2+
• 1326 revisioni

Sharpen your debugging skills to enhance sales data accuracy.

• IntermedioLivello di competenza
• 4.3+
• 1491 revisioni

Solve the Taxi-v3 environment using Q-learning, ensuring efficient AI-driven transportation.

• AvanzatoLivello di competenza
• 4.4+
• 1293 revisioni

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

• BasicLivello di competenza
• 4.3+
• 2380 revisioni

Analyze UEFA Champions League Soccer Games using Snowflake SQL.

• IntermedioLivello di competenza
• 4.3+
• 1025 revisioni

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.