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30+ Free Datasets for Your Data Science Projects in 2023

Knowledge Hut

Whether you are working on a personal project, learning the concepts, or working with datasets for your company, the primary focus is a data acquisition and data understanding. Your data should possess the maximum available information to perform meaningful analysis. What is a Data Science Dataset?

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Top 10 Azure Project Ideas for 2023 [Beginners to Advanced]

Knowledge Hut

Smart watches can help in data collection and then the same data can be fed into an application that is capable of sending alerts in case an outlier is detected. To build the project: Download the dataset and keep it ready for use. Once you understand the working, apply the same to any kind of dataset, like physiological.

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Power BI vs Salesforce: Key Differences and Similarities

Knowledge Hut

Power BI is a robust data analytics tool, that enable analysis, dynamic dashboards, and seamless data integration. Meanwhile, Salesforce serves as a versatile Customer Relationship Management (CRM) platform, ideal for data collection, workflow management, and business insights. till the end of delivery time and location.

BI 52
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10 Real World Data Science Case Studies Projects with Example

ProjectPro

ii) Targetted marketing through Customer Segmentation With user data for enhancing personalized song recommendations, Spotify uses this massive dataset for targeted ad campaigns and personalized service recommendations for its users. We have listed another music recommendations dataset for you to use for your projects: Dataset1.

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Most Interesting Data Visualization Projects in 2023

Knowledge Hut

Data visualization is transforming data or information into graphics to make it easier for the human brain to comprehend and get insights. Science or SciVis Data visualization projects help scientists and researchers to gain greater insight from their experimental data efficiently and quickly.

Project 52
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Logistic Regression vs Linear Regression in Machine Learning

ProjectPro

Machine Learning , as the name suggests, is about training a machine to learn hidden patterns in a dataset through mathematical algorithms. The hidden patterns are revealed by predicting the value of a target variable using the information (attributes) contained in the dataset. where the prices take continuous values.

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Average Daily Rate: The Role of ADR in Hospitality Revenue Management and Strategies to Improve This KPI

AltexSoft

ADR solely focuses on revenue from room sales, excluding other sources of income such as food and beverage, spa services, or event spaces, which can also significantly contribute to a hotel’s overall revenue. Keep in mind, though, that it’s crucial to adhere to legal guidelines to gather data from these sources.