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100+ Machine Learning Datasets Curated For You

ProjectPro

And honestly, there are a lot of real-world machine learning datasets around you that you can opt to start practicing your fundamental data science and machine learning skills, even without having to complete a comprehensive data science or machine learning course. Table of Contents What is a dataset in machine learning?

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Geospatial Index 102

Towards Data Science

(Note: If you have never heard of the geospatial index or would like to learn more about it, check out this article ) Data The data used in this article is the Chicago Crime Data which is a part of the Google Cloud Public Dataset Program. Anyone with a Google Cloud Platform account can access this dataset for free.

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History of Big Data

Knowledge Hut

A hospital’s performance depends largely on how patient data is handled, including accessing and retrieving it for various purposes. Today, systems that can manage large datasets have eliminated many historical challenges. In 2001, Doug Laney defined big data and highlighted its features.

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Using rideshare data to evaluate racial bias in the issuance of speeding citations

Lyft Engineering

In the case of speeding citations, researchers usually only have access to police-reported speeds, which may not always be an accurate representation of the speed the driver was actually traveling. These estimates are computed over our entire dataset, unconditional on the driver being cited.

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A List of Programming Languages for 2024

Knowledge Hut

Visual Basic.NET Visual Basic was developed by Microsoft in the year 2001. C# C# was developed by Microsoft in 2001, along with its.NET framework. SQL is not directly used to write applications but as part of any software to access any database to fetch, read or update data. C# is very similar to C++ or Java in terms of syntax.

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Facial Emotion Recognition Project using CNN with Source Code

ProjectPro

In 2001, researchers from Microsoft gave us face detection technology which is still used in many forms. Before we jump on to the code, allow us to give you a fair idea of the dataset. The test dataset has 28,709 samples, and the training dataset has 3,589 samples. We will use this to manipulate data.

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A Collection of Take-Home Data Science Challenges for 2023

ProjectPro

By implementing various machine learning algorithms over a dataset of dates, store, item information, promotions, and unit sales, you will be using time forecasting methods to predict the sales. Two Sigma Investments is a firm implementing data science tools over datasets for predicting financial trade since 2001.