Projekt
Enriching Stock Market Data using the OpenAI API
- Geringe SchwierigkeitSchwierigkeitsgrad
- 4.3+
- 413
Use OpenAIs powerful API to enrich and summarize stock market data.
Künstliche Intelligenz, Angewandte Finanzwissenschaft
In Projekten kannst du deine Fähigkeiten mit Tools wie Data Notebooks anwenden und eine Datenanalyse von Anfang bis Ende durchführen.
Projekt
Use OpenAIs powerful API to enrich and summarize stock market data.
Künstliche Intelligenz, Angewandte Finanzwissenschaft
Projekt
Help the bank monitoring their fraud detection model and figuring out why its not performing as expected.
Machine Learning
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.
Angewandte Finanzwissenschaft
Projekt
Analyze online shopping habits: returning vs. new customers using statistics & probability techniques!
Wahrscheinlichkeit und Statistik
Projekt
Analyze clothing reviews on an e-commerce platform to explore different topics and similarities among them.
Künstliche Intelligenz
Projekt
Step into a data engineers shoes and master data cleaning with PySpark on an e-commerce orders dataset!
Data Engineering, Datenaufbereitung
Projekt
Use web scraping and NLP to find the most frequent words in classic literature: Herman Melvilles novel, Moby Dick.
Programmierung mit Python, Softwareentwicklung
Projekt
Build an AI-powered inbox assistant to classify your emails using Llama.
Künstliche Intelligenz
Projekt
Build models predicting customer churn for Indian telecom customers.
Machine Learning, Datenmanipulation
Projekt
Powering Data for the Department of Energy - Building an ETL Pipeline
Data Engineering
Projekt
Create custom Python functions to validate user input!
Softwareentwicklung
Projekt
Use SQL to analyze a database containing information about Transport for London journeys over 12 years!
Explorative Datenanalyse, Data Warehouse, Data Engineering
Projekt
Extract structured data from unstructured natural language in medical transcriptions using the OpenAI API.
Künstliche Intelligenz
Projekt
Use joining techniques to discover the oldest businesses in the world.
Datenmanipulation
Projekt
Automatically generate keywords for a search engine marketing campaign using Python to send website visitors to the right landing page.
Datenmanipulation
Projekt
Automate e-commerce processes with image classification.
Machine Learning, Künstliche Intelligenz
Projekt
Enhancing Transportation Safety through Traffic Sign Detection
Künstliche Intelligenz
Projekt
Develop an inventory management system for a retail business using OOP in Python.
Softwareentwicklung
Projekt
Train a simple reinforcement learning agent in stock trading simulation.
Künstliche Intelligenz
Projekt
Chart electric vehicle charging trends to inform strategic planning.
Datenmanipulation, Datenvisualisierung
Projekt
Use SQL to analyze a database containing information about Transport for London journeys over 12 years!
Data Warehouse, Data Engineering
Projekt
Perform a machine learning experiment to find the best model that predicts the temperature in London!
Machine Learning
Projekt
Sharpen your debugging skills to enhance sales data accuracy.
Softwareentwicklung
Projekt
Detect pneumonia on X-ray images by fine-tuning a pre-trained CNN.
Künstliche Intelligenz
Projekt
Use logistic regression to determine which treatment procedure is more effective for kidney stone removal.
Wahrscheinlichkeit und Statistik, Machine Learning
Projekt
Use MLBs Statcast data to compare New York Yankees sluggers Aaron Judge and Giancarlo Stanton.
Datenvisualisierung
Projekt
Building an image processing pipeline for data augmentation.
Datenvisualisierung, Datenmanipulation
Projekt
Clean customer data and use logistic regression to predict whether people will make a claim on their car insurance!
Machine Learning
Projekt
Build a PyTorch-powered traffic prediction system using time-series skills and deep learning to forecast traffic volume.
Künstliche Intelligenz
Projekt
Use mean-variance optimization to find optimal portfolio weights and then check how well they would have performed.
Angewandte Finanzwissenschaft