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Top 10+ Applications of Data Science in E-commerce for 2024

Knowledge Hut

Every time someone uses the internet, more data is added. We need assistance from various Data Science methodologies to make sense of this enormous amount of data and use it for the company's objectives, etc. E-commerce is one industry that most uses data science and machine learning techniques. Sound familiar?

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Apache Spark Use Cases & Applications

Knowledge Hut

Spark also has out of the box support for Machine learning and Graph processing using components called MLlib and GraphX respectively. Spark also has support for streaming data using Spark Streaming. Though the majority of use cases of Spark uses HDFS as the underlying data file storage layer, it is not mandatory to use HDFS.

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Cloud Native Data Orchestration For Machine Learning And Data Engineering With Flyte

Data Engineering Podcast

Flyte is a project that was started at Lyft to address their internal needs for machine learning and integrated closely with Kubernetes as the execution manager. With simple pricing, fast networking, object storage, and worldwide data centers, you’ve got everything you need to run a bulletproof data platform.

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Top 15 Machine Learning Use Cases in 2023

ProjectPro

We live in an era led by machine learning applications , be it the Voice Assistants on our Smartphones, the Face Unlock feature, the surge pricing on the ride-hailing apps, email filtering, and many more. There could be several machine learning applications that you could be using in your day-to-day life without even knowing about them.

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10 Machine Learning Projects in Retail You Must Practice

ProjectPro

Retail is one of the first industries that started leveraging the power of machine learning and artificial intelligence. There are machine learning projects for almost every retail use case - right from inventory management to customer satisfaction. You can start by downloading the Online Retail Dataset.

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Spatial Data Science: Elements, Use Cases, Applications

Knowledge Hut

Industries, where the application of spatial data science will expand have a wide range of verticals, including real estat e, cities and governments, management consulting, utilities, retails, telecommunication, green energy, and many more. Big data processing is aided by using computer languages like Python, SQL, and R.

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15 Machine Learning Regression Projects Ideas for Beginners

ProjectPro

Be it the popular linear and logistic regression models or the less mainstream lasso and ridge regression models that use regularization methods; regression models are ubiquitous. So is the need to get exposure to diverse regression projects to understand the business use cases.