Starting with Machine Learning on devices like MCU - Part 12 (Data sets for the analysis)

The core of the deep learning is the data. We need data so that the deep learning models can analyze the data, identify the patterns in the data, train the model accordingly. The data can be obtained using various sources.

You can get free datasets from several websites, including 

• Google Dataset Search, which is a search engine for datasets 
• Kaggle, known for its machine learning competition datasets, you can get cricket data sets here
• Data.gov, which offers U.S. government data
• UCI Machine Learning Repository. 
• Other reliable sources include the World Bank, data.world, FiveThirtyEight, and data portals from organizations like NASA and the World Health Organization. 
• If you are plannign for analysis of cricket data sets, IPL dataset on Github is an option
• EPL analysis on Git Hub for English Premier league football data

If the data set is not readily available, for training purposes, we can generate our own data. Remember the random number generator when we worked on C programming? Likewise, we can write our code to generate a data as per our requirement.