Proyectos

• IntermedioNivel de habilidad
• 4.3+
• 23.656 revisiones

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

• IntermedioNivel de habilidad
• 4.3+
• 13.957 revisiones

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

• IntermedioNivel de habilidad
• 4.3+
• 9610 revisiones

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

• IntermedioNivel de habilidad
• 4.2+
• 2492 revisiones

Automate e-commerce processes with image classification.

• IntermedioNivel de habilidad
• 4.4+
• 10.013 revisiones

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

• IntermedioNivel de habilidad
• 4.3+
• 2676 revisiones

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

• IntermedioNivel de habilidad
• 4.5+
• 385 revisiones

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

• AvanzadoNivel de habilidad
• 4.4+
• 2167 revisiones

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

• AvanzadoNivel de habilidad
• 4.5+
• 405 revisiones

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

• IntermedioNivel de habilidad
• 4.3+
• 1439 revisiones

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

• AvanzadoNivel de habilidad
• 4.3+
• 832 revisiones

Use PySpark to build an e-commerce forecasting model!

• IntermedioNivel de habilidad
• 4.3+
• 1439 revisiones

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

• AvanzadoNivel de habilidad
• 4.3+
• 810 revisiones

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

• IntermedioNivel de habilidad
• 4.1+
• 2169 revisiones

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

• IntermedioNivel de habilidad
• 4.4+
• 703 revisiones

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

• IntermedioNivel de habilidad
• 4.0+
• 1343 revisiones

Build models predicting customer churn for Indian telecom customers.

• IntermedioNivel de habilidad
• 4.5+
• 806 revisiones

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

• AvanzadoNivel de habilidad
• 4.4+
• 679 revisiones

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

• IntermedioNivel de habilidad
• 4.2+
• 516 revisiones

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

• AvanzadoNivel de habilidad
• 4.2+
• 733 revisiones

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

• IntermedioNivel de habilidad
• 4.4+
• 379 revisiones

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

• IntermedioNivel de habilidad
• 4.4+
• 650 revisiones

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

• IntermedioNivel de habilidad
• 4.4+
• 749 revisiones

Automate e-commerce processes with image classification.

• AvanzadoNivel de habilidad
• 4.4+
• 380 revisiones

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

• IntermedioNivel de habilidad
• 4.4+
• 249 revisiones

Improve a Car Price prediction model using Feature Engineering tools

• IntermedioNivel de habilidad
• 4.3+
• 324 revisiones

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