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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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History of Big Data

Knowledge Hut

They realized that compiling this data and converting it into information would take over 10 years without an efficient system. Gradually, data storage and processing systems evolved, and today, we see it in one of its most advanced forms, the cloud. These systems hamper data handling to a great extent because errors usually persist.

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Geospatial Index 102

Towards Data Science

It makes geospatial data can be searched and retrieved efficiently so that the system can provide the best experience to its users. Anyone with a Google Cloud Platform account can access this dataset for free. It consists of approximately 8 million rows of data (with a total amount of 1.52 Add the geohash to the query condition.

Bytes 59
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A List of Programming Languages for 2024

Knowledge Hut

Cross Platform Compatibility ensures Java can be used on various platforms (Operating Systems) without any compatibility issues. Java is popularly used for Web, Mobile, and Embedded Systems, which are in wide demand now. C is also in great demand for the programming of embedded systems. to work with assembly language.

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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. So, if a driver is feeling drowsy and is about to faint, the ride-hailing service can deploy a system to raise the alarm after reading their facial expressions. FER technology can be leveraged to ensure safe driving on roads.

Coding 52
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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.

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A State-of-the-Art Method for Generating Photo-Realistic Textures in Real Time

Zalando Engineering

And justifiably so: not only do vast datasets and raw computational GPU power contribute to this fact, but also the influx of brilliant people dedicating their time to the topic has accelerated the progress in the field. The model parameters can then be optimized on this dataset by minimizing a loss function. 2016] and [Bergmann et al.