Projekt
Analyzing Flight Delays and Cancellations
- FortgeschrittenSchwierigkeitsgrad
- 3.1+
- 328
Examine flight delays & cancellations to uncover insights.
Datenbearbeitung, Datenvisualisierung
In Projekten kannst du deine Fähigkeiten mit Tools wie Data Notebooks anwenden und eine Datenanalyse von Anfang bis Ende durchführen.
Projekt
Examine flight delays & cancellations to uncover insights.
Datenbearbeitung, Datenvisualisierung
Projekt
Perform a hypothesis test to determine if more goals are scored in womens soccer matches than mens!
Probabilistik & Statistik
Projekt
Analyze product data for an online sports retail company to optimize revenue.
Datenbearbeitung
Projekt
Explore facial recognition with ML by distinguishing Arnold Schwarzenegger from others using Python and scikit-learn.
Maschinelles Lernen
Projekt
Build models predicting customer churn for Indian telecom customers.
Datenbearbeitung, Maschinelles Lernen
Projekt
Query the VatComply API to gather exchange rate information and incorporate into a sales orders dataset!
Softwareentwicklung, Datenbearbeitung
Projekt
Apply your importing and cleaning data and data manipulation skills to explore New York City Airbnb data.
Programmierung mit R, Datenbearbeitung
Projekt
Analyze subscription data for a SaaS company to identify what drives customer subscription renewals.
Datenbearbeitung
Projekt
Build an AI-powered inbox assistant to classify your emails using Llama.
Künstliche Intelligenz
Projekt
Use mean-variance optimization to find optimal portfolio weights and then check how well they would have performed.
Angewandte Finanzen
Projekt
Use joining techniques to discover the oldest businesses in the world.
Datenbearbeitung
Projekt
Classify food images using Hugging Face models, automatically recognizing and categorizing food items.
Künstliche Intelligenz
Projekt
Analyze online shopping habits: returning vs. new customers using statistics & probability techniques!
Probabilistik & Statistik
Projekt
Powering Data for the Department of Energy - Building an ETL Pipeline
Data Engineering
Projekt
Generate features from text and numeric variables to predict the popularity of books.
Maschinelles Lernen
Projekt
Step into a data scientists role and learn how to make product decisions with A/B testing in Python!
Probabilistik & Statistik
Projekt
Automate e-commerce processes with image classification.
Maschinelles Lernen, Künstliche Intelligenz
Projekt
Building an image processing pipeline for data augmentation.
Datenvisualisierung, Datenbearbeitung
Projekt
Use MLBs Statcast data to compare New York Yankees sluggers Aaron Judge and Giancarlo Stanton.
Datenvisualisierung
Projekt
Help a fast food chain save money and place more accurate orders by building a model to predict food sales.
Maschinelles Lernen
Projekt
Use logistic regression to predict whether people will make a claim on their car insurance!
Maschinelles Lernen
Projekt
Apply your data manipulation skills to time series data on water levels of the River Thames.
Programmierung mit Python, Datenbearbeitung
Projekt
Build a PyTorch-powered traffic prediction system using time-series skills and deep learning to forecast traffic volume.
Künstliche Intelligenz
Projekt
Leverage machine learning algorithms and models for marketing analytics tasks in a streaming platform.
Maschinelles Lernen
Projekt
Examine the relationship between heart rate and heart disease using multiple logistic regression.
Datenbearbeitung, Probabilistik & Statistik, Datenvisualisierung
Projekt
Use DataFrames to read and merge employee data from different sources.
Datenaufbereitung
Projekt
Analyze Twitter follower data with Python! Use Pandas and NetworkX to build functions, identify influential users, and explore network structures.
Explorative Datenanalyse
Projekt
Reanalyze the data behind one of the most important discoveries of modern medicine: handwashing.
Probabilistik & Statistik
Projekt
Build an AI-powered airline chat assistant to generate custom responses and identify user intent.
Künstliche Intelligenz
Projekt
Dive into the world of banking transactions to uncover hidden anomalies and protect customer confidence. Ready to take on the challenge?
Probabilistik & Statistik