Analyzing Unicorn Companies
Use your SQL skills to find out how many companies reached a valuation of over $1 billion across different industries between 2019 and 2021!
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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Use your SQL skills to find out how many companies reached a valuation of over $1 billion across different industries between 2019 and 2021!
Use LLMs to solve diverse language tasks for a car dealership company.
Build a machine learning model to predict if a credit card application will get approved.
Analyze clothing reviews on an e-commerce platform to explore different topics and similarities among them.
Review a data analysis workflow for adherence to Python standards and best-practices.
Use SQL to analyze a database containing information about Student performance!
Conduct a supply chain analysis of the ingredients used in an avocado toast to gain an understanding of the complex supply chain involved.
Develop a multi-input model to classify characters from scanned documents.
Use categorization and ranking techniques to explore 101 years of American baby names.
Use joining techniques to discover the oldest businesses in the world.
Automate e-commerce processes with image classification.
Identify issues in a manufacturing process using SQL window functions and subqueries
Use data manipulation and visualization to explore a television broadcast dataset from the Super Bowl.
Manipulate date and time using Python
Use regression and machine learning models to predict daily power consumption based on temporal factors.
Develop a system that can detect Cyber Threats in your companys network traffic logs using Deep Learning.
Develop a new app feature with your Python skills to calculate calories and nutrition values from user input.
Analyze UEFA Champions League Soccer Games using Snowflake SQL.
Enhance your SQL Skills with hands-on data cleaning in PostgreSQL: perform analyses while working with incorrect data types and missing values.
Apply your importing and cleaning data and data manipulation skills to explore New York City Airbnb data.
Sometimes, things that once worked perfectly suddenly hit a snag. Practice your knowledge of DataFrames to find the problem and fix it!
Step into a data engineers shoes and master data cleaning with PySpark on an e-commerce orders dataset!
Perform hypothesis tests to determine if the adverse effects of a pharmaceutical drug are significant!
Perform a machine learning experiment to find the best model that predicts the temperature in London!
Solve the Taxi-v3 environment using Q-learning, ensuring efficient AI-driven transportation.
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.
Use PySpark to build an e-commerce forecasting model!
Create custom Python functions to validate user input!
Help the bank monitoring their fraud detection model and figuring out why its not performing as expected.
Use a variety of data manipulation techniques to explore different aspects of Legos history.