• Orta SeviyeBeceri Seviyesi
• 4.3+
• 22.933 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 13.513 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 9.308 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.4+
• 9.738 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.2+
• 2.270 inceleme

Automate e-commerce processes with image classification.

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 2.606 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.5+
• 362 inceleme

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

• İleri SeviyeBeceri Seviyesi
• 4.4+
• 2.059 inceleme

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

• İleri SeviyeBeceri Seviyesi
• 4.4+
• 728 inceleme

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

• İleri SeviyeBeceri Seviyesi
• 4.6+
• 374 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 1.369 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 1.383 inceleme

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

• İleri SeviyeBeceri Seviyesi
• 4.3+
• 802 inceleme

Use PySpark to build an e-commerce forecasting model!

• İleri SeviyeBeceri Seviyesi
• 4.4+
• 654 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.0+
• 1.301 inceleme

Build models predicting customer churn for Indian telecom customers.

• Orta SeviyeBeceri Seviyesi
• 4.4+
• 677 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.1+
• 2.107 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.5+
• 754 inceleme

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

• İleri SeviyeBeceri Seviyesi
• 4.2+
• 718 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.4+
• 731 inceleme

Automate e-commerce processes with image classification.

• Orta SeviyeBeceri Seviyesi
• 4.2+
• 493 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.4+
• 631 inceleme

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

• İleri SeviyeBeceri Seviyesi
• 4.4+
• 369 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 313 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.5+
• 331 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.4+
• 235 inceleme

Improve a Car Price prediction model using Feature Engineering tools