Projekt
Building a Retail Inventory Management System
- AvanceradKunskapsnivå
- 4.0+
- 1 393 recensioner
Develop an inventory management system for a retail business using OOP in Python.
Programvaruutveckling
Projekt
Develop an inventory management system for a retail business using OOP in Python.
Programvaruutveckling
Projekt
Step into a data engineers shoes and master data cleaning with PySpark on an e-commerce orders dataset!
Datateknik, Dataförberedelse
Projekt
Help the bank monitoring their fraud detection model and figuring out why its not performing as expected.
Maskininlärning
Projekt
Use PySpark to build an e-commerce forecasting model!
Maskininlärning
Projekt
Apply your importing and cleaning data and data manipulation skills to explore New York City Airbnb data.
R-programmering, Datamanipulation
Projekt
Use OpenAIs powerful API to enrich and summarize stock market data.
Tillämpad ekonomi, Artificiell intelligens
Projekt
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.
Tillämpad ekonomi
Projekt
Examine flight delays & cancellations to uncover insights.
Datamanipulation, Datavisualisering
Projekt
Create custom Python functions to validate user input!
Programvaruutveckling
Projekt
Sharpen your debugging skills to enhance sales data accuracy.
Programvaruutveckling
Projekt
Exploring flight data from NYC using advanced data joining techniques in R.
Datamanipulation
Projekt
Analyze product data for an online sports retail company to optimize revenue.
Datamanipulation
Projekt
Query the VatComply API to gather exchange rate information and incorporate into a sales orders dataset!
Programvaruutveckling, Datamanipulation
Projekt
Use a variety of data manipulation techniques to explore different aspects of Legos history.
Datamanipulation
Projekt
Use SQL to analyze a database containing information about Transport for London journeys over 12 years!
Datateknik, Datalager
Projekt
Chart electric vehicle charging trends to inform strategic planning.
Datamanipulation, Datavisualisering
Projekt
Use mean-variance optimization to find optimal portfolio weights and then check how well they would have performed.
Tillämpad ekonomi
Projekt
Build models predicting customer churn for Indian telecom customers.
Datamanipulation, Maskininlärning
Projekt
Use logistic regression to determine which treatment procedure is more effective for kidney stone removal.
Maskininlärning, Sannolikhet och statistik
Projekt
Automatically generate keywords for a search engine marketing campaign using Python to send website visitors to the right landing page.
Datamanipulation
Projekt
Explore facial recognition with ML by distinguishing Arnold Schwarzenegger from others using Python and scikit-learn.
Maskininlärning
Projekt
Use joining techniques to discover the oldest businesses in the world.
Datamanipulation
Projekt
Powering Data for the Department of Energy - Building an ETL Pipeline
Datateknik
Projekt
Analyze online shopping habits: returning vs. new customers using statistics & probability techniques!
Sannolikhet och statistik
Projekt
Use deep learning to automate the classification of service desk tickets.
Maskininlärning, Artificiell intelligens
Projekt
Explore transportation time series data analysis to uncover patterns and forecast travel costs.
Sannolikhet och statistik
Projekt
Generate features from text and numeric variables to predict the popularity of books.
Maskininlärning
Projekt
Use MLBs Statcast data to compare New York Yankees sluggers Aaron Judge and Giancarlo Stanton.
Datavisualisering
Projekt
Build an AI-powered inbox assistant to classify your emails using Llama.
Artificiell intelligens
Projekt
Detect pneumonia on X-ray images by fine-tuning a pre-trained CNN.
Artificiell intelligens
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