Project
Analyzing Flight Delays and Cancellations
- GemiddeldVaardigheidsniveau
- 3.0+
- 319
Examine flight delays & cancellations to uncover insights.
Datamanipulatie, Datavisualisatie
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71 ProjectenBekijk de bijbehorende cursussen
Project
Hypothesis Testing with Mens and Womens Soccer Matches
- GemiddeldVaardigheidsniveau
- 4.1+
- 316
Perform a hypothesis test to determine if more goals are scored in womens soccer matches than mens!
Kansrekening en statistiek
Project
Analyzing Online Sports Revenue
- GemiddeldVaardigheidsniveau
- 3.7+
- 311
Analyze product data for an online sports retail company to optimize revenue.
Datamanipulatie
Project
Facial Recognition with Supervised Learning
- GemiddeldVaardigheidsniveau
- 4.6+
- 292
Explore facial recognition with ML by distinguishing Arnold Schwarzenegger from others using Python and scikit-learn.
Machine learning
Project
Exploring Airbnb Market Trends
- GemiddeldVaardigheidsniveau
- 4.2+
- 282
Apply your importing and cleaning data and data manipulation skills to explore New York City Airbnb data.
Programmeren met R, Datamanipulatie
Project
Assessing Customer Churn Using Machine Learning
- GemiddeldVaardigheidsniveau
- 3.7+
- 278
Build models predicting customer churn for Indian telecom customers.
Datamanipulatie, Machine learning
Project
Finding Exchange Rates for International Sales
- GemiddeldVaardigheidsniveau
- 3.8+
- 275
Query the VatComply API to gather exchange rate information and incorporate into a sales orders dataset!
Softwareontwikkeling, Datamanipulatie
Project
Understanding Subscription Behaviors
- GemiddeldVaardigheidsniveau
- 4.1+
- 252
Analyze subscription data for a SaaS company to identify what drives customer subscription renewals.
Datamanipulatie
Project
Uncovering the Worlds Oldest Businesses
- GemiddeldVaardigheidsniveau
- 3.4+
- 244
Use joining techniques to discover the oldest businesses in the world.
Datamanipulatie
Project
Analyze Your Stock Portfolio for Risks and Returns
- GemiddeldVaardigheidsniveau
- 3.7+
- 243
Use mean-variance optimization to find optimal portfolio weights and then check how well they would have performed.
Applied Finance
Project
Classifying Emails using Llama
- GemiddeldVaardigheidsniveau
- 4.1+
- 239
Build an AI-powered inbox assistant to classify your emails using Llama.
Kunstmatige intelligentie
Project
Food Image Classification with Hugging Face
- GemiddeldVaardigheidsniveau
- 4.4+
- 230
Classify food images using Hugging Face models, automatically recognizing and categorizing food items.
Kunstmatige intelligentie
Project
Will This Customer Purchase Your Product?
- GemiddeldVaardigheidsniveau
- 4.3+
- 230
Analyze online shopping habits: returning vs. new customers using statistics & probability techniques!
Kansrekening en statistiek
Project
What Makes a Good Book?
- GemiddeldVaardigheidsniveau
- 4.6+
- 228
Generate features from text and numeric variables to predict the popularity of books.
Machine learning
Project
Powering Data for the Department of Energy - Building an ETL Pipeline
- GemiddeldVaardigheidsniveau
- 3.9+
- 223
Powering Data for the Department of Energy - Building an ETL Pipeline
Data-engineering
Project
Building an E-Commerce Clothing Classifier Model with Keras
- GemiddeldVaardigheidsniveau
- 4.5+
- 192
Automate e-commerce processes with image classification.
Machine learning, Kunstmatige intelligentie
Project
Image Processing for Object Detection Models
- GemiddeldVaardigheidsniveau
- 4.3+
- 191
Building an image processing pipeline for data augmentation.
Datavisualisatie, Datamanipulatie
Project
Data-Driven Decisions with A/B Testing
- GemiddeldVaardigheidsniveau
- 4.5+
- 188
Step into a data scientists role and learn how to make product decisions with A/B testing in Python!
Kansrekening en statistiek
Project
Compare Baseball Player Statistics using Visualizations
- GemiddeldVaardigheidsniveau
- 4.7+
- 183
Use MLBs Statcast data to compare New York Yankees sluggers Aaron Judge and Giancarlo Stanton.
Datavisualisatie
Project
Modeling Car Insurance Claim Outcomes
- GemiddeldVaardigheidsniveau
- 3.9+
- 178
Use logistic regression to predict whether people will make a claim on their car insurance!
Machine learning
Project
Predict Future Sales of Fast-Food Menu Items
- GemiddeldVaardigheidsniveau
- 4.3+
- 172
Help a fast food chain save money and place more accurate orders by building a model to predict food sales.
Machine learning
Project
Analyzing River Thames Water Levels
- GemiddeldVaardigheidsniveau
- 3.5+
- 152
Apply your data manipulation skills to time series data on water levels of the River Thames.
Programmeren met Python, Datamanipulatie
Project
Predicting Traffic Volume with PyTorch
- GemiddeldVaardigheidsniveau
- 4.7+
- 144
Build a PyTorch-powered traffic prediction system using time-series skills and deep learning to forecast traffic volume.
Kunstmatige intelligentie
Project
Combating Subscriber Churn with Targeted Marketing
- GemiddeldVaardigheidsniveau
- 4.6+
- 139
Leverage machine learning algorithms and models for marketing analytics tasks in a streaming platform.
Machine learning
Project
What is Your Heart Rate Telling You?
- GemiddeldVaardigheidsniveau
- 4.0+
- 131
Examine the relationship between heart rate and heart disease using multiple logistic regression.
Datamanipulatie, Kansrekening en statistiek, Datavisualisatie
Project
Consolidating Employee Data
- GemiddeldVaardigheidsniveau
- 4.5+
- 130
Use DataFrames to read and merge employee data from different sources.
Datavoorbereiding
Project
Social Networks: A Twitter Network Analysis
- GemiddeldVaardigheidsniveau
- 4.0+
- 128
Analyze Twitter follower data with Python! Use Pandas and NetworkX to build functions, identify influential users, and explore network structures.
Exploratieve data-analyse
Project
Dr. Semmelweis and the Importance of Handwashing
- GemiddeldVaardigheidsniveau
- 4.2+
- 117
Reanalyze the data behind one of the most important discoveries of modern medicine: handwashing.
Kansrekening en statistiek
Project
Detecting Anomalous Transactions
- GemiddeldVaardigheidsniveau
- 4.6+
- 116
Dive into the world of banking transactions to uncover hidden anomalies and protect customer confidence. Ready to take on the challenge?
Kansrekening en statistiek
Project
Optimize LLMs with Llama Fine-tuning
- GemiddeldVaardigheidsniveau
- 4.9+
- 114
Build an AI-powered airline chat assistant to generate custom responses and identify user intent.
Kunstmatige intelligentie