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Static enrichment dataset with Delta Lake

Waitingforcode

Data enrichment is one of common data engineering tasks. It's relatively easy to implement with static datasets because of the data availability. However, this apparently easy task can become a nightmare if used with inappropriate technologies.

Datasets 130
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Practicing Machine Learning with Imbalanced Dataset

Analytics Vidhya

The quality of data we feed to the algorithms […] The post Practicing Machine Learning with Imbalanced Dataset appeared first on Analytics Vidhya. The machine learning algorithms heavily rely on data that we feed to them.

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How to get datasets for Machine Learning?

Knowledge Hut

Datasets are the repository of information that is required to solve a particular type of problem. Datasets play a crucial role and are at the heart of all Machine Learning models. Datasets are often related to a particular type of problem and machine learning models can be built to solve those problems by learning from the data.

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How to JOIN datasets in Polars … compared to Pandas.

Confessions of a Data Guy

Some time ago I wrote a very simple comparison of switching from Pandas to Polars, I didn’t put much real effort into it, yet it was popular, so this is my attempt at trying to expand on that topic a […] The post How to JOIN datasets in Polars … compared to Pandas. appeared first on Confessions of a Data Guy.

Datasets 113
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Best Practices For Loading and Querying Large Datasets in GCP BigQuery

Analytics Vidhya

Source: dataedo.com It is designed to handle big data and is ideal for […] The post Best Practices For Loading and Querying Large Datasets in GCP BigQuery appeared first on Analytics Vidhya. Its importance lies in its ability to handle big data and provide insights that can inform business decisions.

Datasets 201
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The Journey of a Senior Data Scientist and Machine Learning Engineer at Spice Money

Analytics Vidhya

Introduction Meet Tajinder, a seasoned Senior Data Scientist and ML Engineer who has excelled in the rapidly evolving field of data science. Tajinder’s passion for unraveling hidden patterns in complex datasets has driven impactful outcomes, transforming raw data into actionable intelligence.

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The Journey of a Senior Data Scientist and Machine Learning Engineer in Fintech Domain

Analytics Vidhya

Introduction Meet Tajinder, a seasoned Senior Data Scientist and ML Engineer who has excelled in the rapidly evolving field of data science. Tajinder’s passion for unraveling hidden patterns in complex datasets has driven impactful outcomes, transforming raw data into actionable intelligence.