• IntermedioLivello di competenza
• 4.3+
• 22.848 revisioni

Dive into agriculture using supervised machine learning and feature selection to aid farmers in crop cultivation and solve real-world problems.

• IntermedioLivello di competenza
• 4.3+
• 13.454 revisioni

Arctic Penguin Exploration: Unraveling Clusters in the Icy Domain with K-means Clustering

• IntermedioLivello di competenza
• 4.3+
• 9258 revisioni

Build a regression model for a DVD rental firm to predict rental duration. Evaluate models to recommend the best one.

• IntermedioLivello di competenza
• 4.2+
• 2260 revisioni

Automate e-commerce processes with image classification.

• IntermedioLivello di competenza
• 4.4+
• 9697 revisioni

Clean customer data and use logistic regression to predict whether people will make a claim on their car insurance!

• IntermedioLivello di competenza
• 4.3+
• 2594 revisioni

Build a machine learning model to predict if a credit card application will get approved.

• IntermedioLivello di competenza
• 4.5+
• 358 revisioni

Use regression and machine learning models to predict daily power consumption based on temporal factors.

• AvanzatoLivello di competenza
• 4.4+
• 2052 revisioni

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

• AvanzatoLivello di competenza
• 4.4+
• 727 revisioni

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

• IntermedioLivello di competenza
• 4.3+
• 1360 revisioni

Solve the Taxi-v3 environment using Q-learning, ensuring efficient AI-driven transportation.

• IntermedioLivello di competenza
• 4.3+
• 1376 revisioni

Join us at a leading insurance company, where well craft a model to predict customer charges and test it with new client data

• AvanzatoLivello di competenza
• 4.6+
• 371 revisioni

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

• AvanzatoLivello di competenza
• 4.3+
• 794 revisioni

Use PySpark to build an e-commerce forecasting model!

• IntermedioLivello di competenza
• 4.4+
• 668 revisioni

Explore facial recognition with ML by distinguishing Arnold Schwarzenegger from others using Python and scikit-learn.

• IntermedioLivello di competenza
• 4.0+
• 1295 revisioni

Build models predicting customer churn for Indian telecom customers.

• AvanzatoLivello di competenza
• 4.4+
• 650 revisioni

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

• AvanzatoLivello di competenza
• 4.2+
• 716 revisioni

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

• IntermedioLivello di competenza
• 4.5+
• 752 revisioni

Generate features from text and numeric variables to predict the popularity of books.

• IntermedioLivello di competenza
• 4.1+
• 2082 revisioni

Use logistic regression to predict whether people will make a claim on their car insurance!

• IntermedioLivello di competenza
• 4.4+
• 727 revisioni

Automate e-commerce processes with image classification.

• IntermedioLivello di competenza
• 4.2+
• 489 revisioni

Help a fast food chain save money and place more accurate orders by building a model to predict food sales.

• IntermedioLivello di competenza
• 4.4+
• 623 revisioni

Leverage machine learning algorithms and models for marketing analytics tasks in a streaming platform.

• AvanzatoLivello di competenza
• 4.4+
• 368 revisioni

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

• IntermedioLivello di competenza
• 4.3+
• 313 revisioni

Apply clustering and NLP techniques to sort text data from negative reviews in the Google Play Store into categories.

• IntermedioLivello di competenza
• 4.5+
• 330 revisioni

Build a regression model for a DVD rental firm to predict rental duration. Evaluate models to recommend the best one.

• IntermedioLivello di competenza
• 4.4+
• 234 revisioni

Improve a Car Price prediction model using Feature Engineering tools