Remove Algorithm Remove Food Remove Raw Data
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Data Science Learning Path [Beginners Roadmap]

Knowledge Hut

For instance, sales of a company, medical records of a patient, stock market records, tweets, Netflix’s list of programs, audio files on Spotify, log files of a self-driven car, your food bill from Zomato, and your screen time on Instagram. How would one know what to sell and to which customers, based on data?

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Top Data Science Project Ideas with Source Code to Strengthen Resume

Knowledge Hut

The specific graphical techniques used in EDA tasks are quite simple, for example: Plotting raw data to gain relevant insight. Simple statistics, such as mean and standard deviation plots, are plotted on raw data. For better results, concentrate the analysis on specific sections of the data.

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Is Learning Data Science Hard - A Complete Guide

Knowledge Hut

Data science is a multidisciplinary field that combines computer programming, statistics, and business knowledge to solve problems and make decisions based on data rather than intuition or gut instinct. It requires mathematical modeling, machine learning, and other advanced statistical methods to extract useful insights from raw data.

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Why We Built Our Feature Store in Snowflake’s Snowpark (And Moved Away From SQL)

Monte Carlo

In data science we call these attributes “features,” which are essentially what the rest of the data world calls a key metric. Why we originally built features with SQL Feature engineering and construction isn’t much different than other modern data pipeline architectures. This precludes more advanced algorithmic functionality.

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Real-World Use Cases of Big Data That Drive Business Success

Knowledge Hut

Real-time Customer Data Analysis for Personalized Interactions: Big data analytics provides real-time customer data analysis, enabling businesses to personalize consumer interactions right away. An example could be targeted ads by Swiggy/Zomato based on your preferred food orders.

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Data Pipelines in the Healthcare Industry

DareData

We have heard news of machine learning systems outperforming seasoned physicians on diagnosis accuracy, chatbots that present recommendations depending on your symptoms , or algorithms that can identify body parts from transversal image slices , just to name a few. Good data pipelines are essential for any data-driven company.

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Most Interesting Data Visualization Projects in 2023

Knowledge Hut

Data visualization has made a long journey, from the simple cave drawings showing a successful hunt to the present day's intricate dashboards to present raw data understandably. Before the seventeenth century, data visualization existed mainly in maps, displaying land markers, cities, roads, and resources.

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