• MellanliggandeFärdighetsnivå
• 4.3+
• 3K

Find out when and where crime is most likely to occur, along with the types of crimes commonly committed in LA.

• MellanliggandeFärdighetsnivå
• 4.2+
• 2.9K

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

• MellanliggandeFärdighetsnivå
• 4.2+
• 2.1K

Tidy a bank marketing campaign dataset by splitting it into subsets, updating values, converting data types, and storing it as multiple csv files.

• MellanliggandeFärdighetsnivå
• 4.2+
• 1.6K

Use SQL to explore and analyze GoodThought NGOs database, uncovering key insights from over 13 years of transformative projects.

• MellanliggandeFärdighetsnivå
• 3.8+
• 1.3K

Test your Data engineering skills by creating a data pipeline to analyze E-commerce business of Walmart!

• MellanliggandeFärdighetsnivå
• 4.4+
• 1.3K

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

• MellanliggandeFärdighetsnivå
• 4.2+
• 1.3K

Apply your data importing, cleaning and manipulation skills to explore New York City Airbnb data.

• MellanliggandeFärdighetsnivå
• 4.3+
• 1.1K

Extract structured data from unstructured natural language in medical transcriptions using the OpenAI API.

• MellanliggandeFärdighetsnivå
• 4.1+
• 1.1K

Perform a hypothesis test to determine if more goals are scored in womens soccer matches than mens!

• MellanliggandeFärdighetsnivå
• 3.8+
• 987

Implement retrieval augmented generation (RAG) with LangChain to create a chatbot for answering questions about technical documentation.

• MellanliggandeFärdighetsnivå
• 4.1+
• 973

Apply your knowledge of data types and categorical data to prepare a big dataset for modeling!

• MellanliggandeFärdighetsnivå
• 4.1+
• 904

Review a data analysis workflow for adherence to Python standards and best-practices.

• MellanliggandeFärdighetsnivå
• 4.0+
• 883

Analyze clothing reviews on an e-commerce platform to explore different topics and similarities among them.

• MellanliggandeFärdighetsnivå
• 4.4+
• 799

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

• MellanliggandeFärdighetsnivå
• 3.9+
• 776

Use SQL to analyze a database containing information about Student performance!

• MellanliggandeFärdighetsnivå
• 4.1+
• 769

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

• MellanliggandeFärdighetsnivå
• 4.3+
• 667

Develop a multi-input model to classify characters from scanned documents.

• MellanliggandeFärdighetsnivå
• 4.1+
• 641

Use joining techniques to discover the oldest businesses in the world.

• MellanliggandeFärdighetsnivå
• 4.4+
• 639

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

• MellanliggandeFärdighetsnivå
• 3.9+
• 577

Automate e-commerce processes with image classification.

• MellanliggandeFärdighetsnivå
• 4.2+
• 554

Enhance your SQL Skills with hands-on data cleaning in PostgreSQL: perform analyses while working with incorrect data types and missing values.

• MellanliggandeFärdighetsnivå
• 4.0+
• 504

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

• MellanliggandeFärdighetsnivå
• 4.2+
• 496

Manipulate date and time using Python

• MellanliggandeFärdighetsnivå
• 4.3+
• 484

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

• MellanliggandeFärdighetsnivå
• 4.1+
• 457

Apply your importing and cleaning data and data manipulation skills to explore New York City Airbnb data.

• MellanliggandeFärdighetsnivå
• 4.1+
• 434

Develop a system that can detect Cyber Threats in your companys network traffic logs using Deep Learning.

• MellanliggandeFärdighetsnivå
• 4.5+
• 427

Perform hypothesis tests to determine if the adverse effects of a pharmaceutical drug are significant!

• MellanliggandeFärdighetsnivå
• 4.3+
• 382

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

• MellanliggandeFärdighetsnivå
• 4.2+
• 379

Ready to analyze and visualize financial ratios? In this project, you will take on real-world challenges like evaluating the profitability and leverage of companies across industries.

• MellanliggandeFärdighetsnivå
• 2.9+
• 378

Examine flight delays & cancellations to uncover insights.