100-Datasets-for-Data-Analytics-and-Machine-Learning-Experiments

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100-Datasets-for-Data-Analytics-and-Machine-Learning-Experiments

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100+ Datasets for Data Analytics and Machine Learning Experiments

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# 100+ Datasets for Data Analytics and Machine Learning Experiments

## What is a dataset in machine learning?

To understand what a dataset is, we must first discuss the components of a dataset. A single row of data is called an instance. Datasets are a collection of instances that all share a common attribute. Machine learning models will generally contain a few different datasets, each used to fulfill various roles in the system.

For machine learning models to understand how to perform various actions, training datasets must first be fed into the machine learning algorithm, followed by validation datasets (or testing datasets) to ensure that the model is interpreting this data accurately.

Once you feed these training and validation sets into the system, subsequent datasets can then be used to sculpt your machine learning model going forward. The more data you provide to the ML system, the faster that model can learn and improve.

## What type of data does machine learning need?

Data can come in many forms, but machine learning models rely on four primary data types. These include *numerical data*, *categorical data*, *time series data*, and *text data*.

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🖥️ 𝗟𝗶𝘀𝘁 𝗼𝗳 𝗣𝘂𝗯𝗹𝗶𝗰 𝗗𝗮𝘁𝗮𝘀𝗲𝘁𝘀 🖥️

## Most Popular Public Datasets:
-	[Amazon Web Services Public](https://registry.opendata.aws/)
-	[Google Public Data](https://datasetsearch.research.google.com/)
-	[Microsoft Research Open Data](https://msropendata.com/)

## Miscellaneous List
- [Tableau Public Sample Data](https://public.tableau.com/en-us/s/resources)
-	[YouTube Dataset](https://research.google.com/youtube8m/)
-	[Google Trends](http://www.google.com/trends/explore)
-	[Freebase People, Places, and Things](http://www.freebase.com/)
-	[Datahub 10K+ collection of datasets](https://datahub.io/)
-	[Github Public Datasets](https://github.com/caesar0301/awesome-public-datasets)
-	[Million Song Data Set](http://aws.amazon.com/datasets/6468931156960467)
-	[ESPN Sports API](http//espn.go.com/apis/devcenter/)
-	[Sports Reference: Data](http://www.sports-reference.com/)
-	[UCI or UC Irvine Datasets Repository](https://archive.ics.uci.edu/ml/index.php)
-	[Government Dataset](https://www.data.gov/)
-	[World Bank: https](http://www.worldbank.org/)

## Industry-specific datasets:

-	Retail Machine Learning Datasets: 
    - http://archive.ics.uci.edu/ml/datasets/online+retail 
    - https://data.world/datafiniti/amazon-and-best-buy-electronics
-	Healthcare Machine Learning Datasets : 
    - https://www.kaggle.com/c/osic-pulmonary-fibrosis-progression/data 
    - https://www.kaggle.com/c/ultrasound-nerve-segmentation/data
-	Banking and Finance Machine Learning Datasets : 
    - https://www.kaggle.com/c/santander-customer-transaction-prediction 
    - https://www.kaggle.com/c/santander-product-recommendation
-	Social Media Machine Learning Datasets : 
    - https://www.kaggle.com/datasets/crowdflower/twitter-airline-sentiment 
    - https://research.google.com/youtube8m/ 
-	Crime Machine Learning Datasets :
     - https://www.kaggle.com/c/sf-crime 
     - https://www.kaggle.com/datasets/jboysen/london-crime

Happy Learning! 👩‍💻

𝘕𝘰𝘵𝘦: 𝘛𝘩𝘪𝘴 𝘭𝘪𝘴𝘵 𝘪𝘴 𝘤𝘰𝘯𝘵𝘪𝘯𝘶𝘰𝘶𝘴𝘭𝘺 𝘶𝘱𝘥𝘢𝘵𝘦𝘥. - 𝘠𝘰𝘶 𝘤𝘢𝘯 𝘵𝘢𝘬𝘦 𝘱𝘶𝘭𝘭 𝘳𝘦𝘲𝘶𝘦𝘴𝘵 𝘢𝘯𝘥 𝘤𝘰𝘯𝘵𝘳𝘪𝘣𝘶𝘵𝘦. 𝘈𝘭𝘭 𝘓𝘪𝘯𝘬𝘴 𝘢𝘳𝘦 𝘵𝘦𝘴𝘵𝘦𝘥 𝘢𝘯𝘥 𝘸𝘰𝘳𝘬𝘪𝘯𝘨 𝘧𝘪𝘯𝘦. 𝘗𝘭𝘦𝘢𝘴𝘦 let me know if any 𝘭𝘪𝘯𝘬 𝘥𝘰𝘦𝘴𝘯'𝘵 𝘸𝘰𝘳𝘬.

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