본문으로 바로가기

프로젝트 찾아보기

21 projects관련 강좌 보기

projects

Analyzing Motorcycle Part Sales

  • 고급의숙련도 수준
  • 4.0+
  • 2.2K

Derive insights about motorcycle part sales over time across multiple warehouse sites!

데이터 조작, 보고

1-2 hours

projects

Analyzing Unicorn Companies

  • 고급의숙련도 수준
  • 4.0+
  • 859

Use your SQL skills to find out how many companies reached a valuation of over $1 billion across different industries between 2019 and 2021!

소프트웨어 개발

1-2 hours

projects

Evaluate a Manufacturing Process

  • 고급의숙련도 수준
  • 4.1+
  • 730

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

데이터 조작, 보고

1-2 hours

projects

Analyzing Car Reviews with LLMs

  • 고급의숙련도 수준
  • 3.6+
  • 723

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

인공지능

1-2 hours

projects

Building a Demand Forecasting Model

  • 고급의숙련도 수준
  • 4.5+
  • 456

Use PySpark to build an e-commerce forecasting model!

머신러닝

1-2 hours

projects

Cleaning an Orders Dataset with PySpark

  • 고급의숙련도 수준
  • 4.1+
  • 395

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

데이터 엔지니어링, 데이터 준비

1-2 hours

projects

Monitoring A Financial Fraud Detection Model

  • 고급의숙련도 수준
  • 4.5+
  • 376

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

머신러닝

1-2 hours

projects

Predicting Temperature in London

  • 고급의숙련도 수준
  • 4.1+
  • 335

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

머신러닝

1-2 hours

projects

Building a Retail Inventory Management System

  • 고급의숙련도 수준
  • 3.8+
  • 328

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

소프트웨어 개발

Less than 1 hour

projects

Service Desk Ticket Classification with Deep Learning

  • 고급의숙련도 수준
  • 4.0+
  • 312

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

머신러닝, 인공지능

1-2 hours

projects

Stock Trading Simulation with Gymnasium

  • 고급의숙련도 수준
  • 4.1+
  • 299

Train a simple reinforcement learning agent in stock trading simulation.

인공지능

1-2 hours

projects

Time Series Analysis for Transportation

  • 고급의숙련도 수준
  • 3.9+
  • 267

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

확률 및 통계

1-2 hours

projects

Assessing the Effectiveness of Medical Treatments

  • 고급의숙련도 수준
  • 4.6+
  • 263

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

머신러닝, 확률 및 통계

Less than 1 hour

projects

Analyzing Customer Support Calls

  • 고급의숙련도 수준
  • 4.4+
  • 236

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

머신러닝, 데이터 조작

1-2 hours

projects

Detect Traffic Signs with Deep Learning

  • 고급의숙련도 수준
  • 4.3+
  • 177

Enhancing Transportation Safety through Traffic Sign Detection

인공지능

1-2 hours

projects

Classifying X-Ray Images using PyTorch

  • 고급의숙련도 수준
  • 4.2+
  • 164

Detect pneumonia on X-ray images by fine-tuning a pre-trained CNN.

인공지능

1-2 hours

projects

Basketball Analytics: Clustering Players by Performance Metrics

  • 고급의숙련도 수준
  • 4.3+
  • 131

Cluster NBA players by performance stats in the 2022-2023 season.

머신러닝

1-2 hours

projects

Building Wedding Planning Software

  • 고급의숙련도 수준
  • 4.1+
  • 129

Develop a Wedding management system called Happea(Happily Ever After) to manage wedding invitations and the RSVP of Guests.

소프트웨어 개발

Less than 15 minutes

projects

How Environmental Factors Influence Wildlife Populations

  • 고급의숙련도 수준
  • 4.2+
  • 107

Explore habitat data using factor and survival analysis tools.

확률 및 통계

1-2 hours

projects

Reward Modeling for RLHF

  • 고급의숙련도 수준
  • 2.3+
  • 91

Train a reward model based on the trl library.

인공지능

1-2 hours

projects

Efficient AI with PyTorch

  • 고급의숙련도 수준
  • 3.0+
  • 89

Use distributed training to optimize a transformer model with multi-device acceleration and advanced optimizers.

인공지능

Less than 1 hour