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15 Real World Business Intelligence Examples

Knowledge Hut

BI is a trending and highly used domain that combines business analytics, data visualization, data mining, and multiple other data-related operations. Businesses use the best practices coming under business intelligence to mine their data and extract the information essential to make significant business decisions.

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What is Apache Airflow Used For?

ProjectPro

It is one of the most effective and reliable tools used by data engineers for orchestration, logging, and scheduling workflows or data pipelines. Over 300 companies, including Airbnb, Slack, Walmart, etc., use Airflow to run their data pipelines efficiently. What is Apache Airflow Used For? via REST API).

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Top 6 Data Science Projects in Python

Knowledge Hut

Whether you are a student or a working professional, the journey to be an industry-ready Data Scientist would never be fulfilled unless there is a good portfolio of projects considerably demonstrated in the resume. Choosing the right project is crucial as it could set you apart from the other Data Scientists. to detect anomalies.

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Keeping Your Data Warehouse In Order With DataForm

Data Engineering Podcast

In this episode CTO and co-founder of Dataform Lewis Hemens joins the show to explain his motivation for creating the platform and company, how it works under the covers, and how you can start using it today to get your data warehouse under control. What are the main benefits of using a tool like DataForm and who are the primary users?

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15 Machine Learning Projects GitHub for Beginners in 2023

ProjectPro

If you are a beginner searching for Machine Learning GitHub Projects, you are on the right page. Below you will find a list of Machine Learning projects on Github that are beginner-friendly and popular among Data Science enthusiasts. Face Detection Kaggle Machine Learning Projects on GitHub 1. OpenCV Why should you use GitHub?

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A Collection of Take-Home Data Science Challenges for 2023

ProjectPro

Beginners can use such challenges to realise how industries implement data science to solve practical problems while professionals can work on such challenges to upskill. One way to help the investors is to give them a fair idea of the risks involved by predicting the returns using machine learning.

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Time Series Forecasting: What, Why, and, How?

ProjectPro

The blog's last two parts cover various use cases of these models and projects related to time series analysis and forecasting problems. Thus, many business owners are curious to know when the coronavirus cases are likely to increase for developing efficient strategies. The coronavirus has affected numerous businesses.