Project
Analyzing Motorcycle Part Sales
- GeavanceerdVaardigheidsniveau
- 4.0+
- 2.1K
Derive insights about motorcycle part sales over time across multiple warehouse sites!
Datamanipulatie, Rapportage
Blader door projecten
21 ProjectenBekijk de bijbehorende cursussen
Project
Analyzing Unicorn Companies
- GeavanceerdVaardigheidsniveau
- 4.0+
- 767
Use your SQL skills to find out how many companies reached a valuation of over $1 billion across different industries between 2019 and 2021!
Softwareontwikkeling
Project
Analyzing Car Reviews with LLMs
- GeavanceerdVaardigheidsniveau
- 3.7+
- 711
Use LLMs to solve diverse language tasks for a car dealership company.
Kunstmatige intelligentie
Project
Evaluate a Manufacturing Process
- GeavanceerdVaardigheidsniveau
- 3.9+
- 605
Identify issues in a manufacturing process using SQL window functions and subqueries
Datamanipulatie, Rapportage
Project
Building a Demand Forecasting Model
- GeavanceerdVaardigheidsniveau
- 4.4+
- 461
Use PySpark to build an e-commerce forecasting model!
Machine learning
Project
Cleaning an Orders Dataset with PySpark
- GeavanceerdVaardigheidsniveau
- 3.8+
- 413
Step into a data engineers shoes and master data cleaning with PySpark on an e-commerce orders dataset!
Data-engineering, Datavoorbereiding
Project
Predicting Temperature in London
- GeavanceerdVaardigheidsniveau
- 4.2+
- 350
Perform a machine learning experiment to find the best model that predicts the temperature in London!
Machine learning
Project
Monitoring A Financial Fraud Detection Model
- GeavanceerdVaardigheidsniveau
- 4.3+
- 336
Help the bank monitoring their fraud detection model and figuring out why its not performing as expected.
Machine learning
Project
Building a Retail Inventory Management System
- GeavanceerdVaardigheidsniveau
- 3.9+
- 329
Develop an inventory management system for a retail business using OOP in Python.
Softwareontwikkeling
Project
Stock Trading Simulation with Gymnasium
- GeavanceerdVaardigheidsniveau
- 4.1+
- 293
Train a simple reinforcement learning agent in stock trading simulation.
Kunstmatige intelligentie
Project
Service Desk Ticket Classification with Deep Learning
- GeavanceerdVaardigheidsniveau
- 4.0+
- 276
Use deep learning to automate the classification of service desk tickets.
Machine learning, Kunstmatige intelligentie
Project
Assessing the Effectiveness of Medical Treatments
- GeavanceerdVaardigheidsniveau
- 4.5+
- 256
Use logistic regression to determine which treatment procedure is more effective for kidney stone removal.
Machine learning, Kansrekening en statistiek
Project
Time Series Analysis for Transportation
- GeavanceerdVaardigheidsniveau
- 3.7+
- 254
Explore transportation time series data analysis to uncover patterns and forecast travel costs.
Kansrekening en statistiek
Project
Analyzing Customer Support Calls
- GeavanceerdVaardigheidsniveau
- 4.2+
- 244
Transcribe customer support audio calls, evaluate sentiment, search in text and identify common entities to improve customer service!
Machine learning, Datamanipulatie
Project
Detect Traffic Signs with Deep Learning
- GeavanceerdVaardigheidsniveau
- 4.4+
- 183
Enhancing Transportation Safety through Traffic Sign Detection
Kunstmatige intelligentie
Project
Classifying X-Ray Images using PyTorch
- GeavanceerdVaardigheidsniveau
- 4.5+
- 156
Detect pneumonia on X-ray images by fine-tuning a pre-trained CNN.
Kunstmatige intelligentie
Project
Basketball Analytics: Clustering Players by Performance Metrics
- GeavanceerdVaardigheidsniveau
- 4.4+
- 134
Cluster NBA players by performance stats in the 2022-2023 season.
Machine learning
Project
How Environmental Factors Influence Wildlife Populations
- GeavanceerdVaardigheidsniveau
- 4.2+
- 115
Explore habitat data using factor and survival analysis tools.
Kansrekening en statistiek
Project
Building Wedding Planning Software
- GeavanceerdVaardigheidsniveau
- 4.1+
- 112
Develop a Wedding management system called Happea(Happily Ever After) to manage wedding invitations and the RSVP of Guests.
Softwareontwikkeling
Project
Efficient AI with PyTorch
- GeavanceerdVaardigheidsniveau
- 4.4+
- 84
Use distributed training to optimize a transformer model with multi-device acceleration and advanced optimizers.
Kunstmatige intelligentie
Project
Reward Modeling for RLHF
- GeavanceerdVaardigheidsniveau
- 3.7+
- 73
Train a reward model based on the trl library.
Kunstmatige intelligentie