Data Mining For Artificial Intelligence | Python | Computer Vision | Machine Learning |

Training a machine learning model, or artificial intelligence (AI), involves feeding it a large dataset, which it uses to learn and make predictions or decisions. The process of training an AI model involves feeding it input data and desired output, and adjusting the model's internal parameters through a process called optimization, so that the model can make predictions or decisions that align with the desired output as closely as possible. The quality and quantity of data that is used to train an AI model can have a significant impact on its performance. In general, the more data an AI model is trained on, the better it will perform. This is because the model is able to learn and make more accurate predictions by analyzing a larger and more diverse dataset. It's also important to use high-quality data that is relevant to the task at hand and free of errors or biases. Using data that is not representative of the problem or task that the AI model is being trained to solve can result in poor performance or biased results. So in this tutorial am going to take you through the easy way to download your own data for artificial intelligence application. Code link:https://github.com/Tech-Watt/Python-codes For more info: felixsam922@gmail.com