Projets

• IntermédiaireNiveau de compétence
• 4.3+
• 22 994 révisions

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

• IntermédiaireNiveau de compétence
• 4.3+
• 13 552 révisions

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

• IntermédiaireNiveau de compétence
• 4.3+
• 9 332 révisions

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

• IntermédiaireNiveau de compétence
• 4.4+
• 9 754 révisions

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

• IntermédiaireNiveau de compétence
• 4.2+
• 2 278 révisions

Automate e-commerce processes with image classification.

• IntermédiaireNiveau de compétence
• 4.3+
• 2 611 révisions

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

• IntermédiaireNiveau de compétence
• 4.5+
• 363 révisions

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

• AvancéNiveau de compétence
• 4.4+
• 2 067 révisions

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

• IntermédiaireNiveau de compétence
• 4.3+
• 1 374 révisions

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

• AvancéNiveau de compétence
• 4.6+
• 376 révisions

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

• AvancéNiveau de compétence
• 4.4+
• 731 révisions

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

• IntermédiaireNiveau de compétence
• 4.3+
• 1 387 révisions

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

• AvancéNiveau de compétence
• 4.3+
• 810 révisions

Use PySpark to build an e-commerce forecasting model!

• AvancéNiveau de compétence
• 4.4+
• 654 révisions

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

• IntermédiaireNiveau de compétence
• 4.1+
• 2 126 révisions

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

• IntermédiaireNiveau de compétence
• 4.4+
• 678 révisions

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

• IntermédiaireNiveau de compétence
• 4.0+
• 1 302 révisions

Build models predicting customer churn for Indian telecom customers.

• IntermédiaireNiveau de compétence
• 4.5+
• 754 révisions

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

• AvancéNiveau de compétence
• 4.2+
• 720 révisions

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

• IntermédiaireNiveau de compétence
• 4.2+
• 494 révisions

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

• IntermédiaireNiveau de compétence
• 4.4+
• 733 révisions

Automate e-commerce processes with image classification.

• IntermédiaireNiveau de compétence
• 4.4+
• 633 révisions

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

• AvancéNiveau de compétence
• 4.4+
• 369 révisions

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

• IntermédiaireNiveau de compétence
• 4.3+
• 313 révisions

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

• IntermédiaireNiveau de compétence
• 4.4+
• 235 révisions

Improve a Car Price prediction model using Feature Engineering tools

• IntermédiaireNiveau de compétence
• 4.5+
• 332 révisions

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