Non-Intrusive Load Monitoring #5 - Preparing Dataset & Training Model

Non-Intrusive Load Monitoring #5 - Preparing Dataset & Training Model/challenges-projects/design-challenges/low-power-iot/b/blog/posts/non-intrusive-load-monitoring-5---preparing-dataset-training-modelPreparing DatasetIn the last blog, I developed a device firmware to provide sensor data to SensiML Data Capture Lab using UART. In this step, we will prepare our dataset using DCL for developing a machine learning model. Before going to DCL we need ten-USTelligent Community 12RE: Non-Intrusive Load Monitoring #5 - Preparing Dataset & Training Modelhttps://community.element14.com/challenges-projects/design-challenges/low-power-iot/b/blog/posts/non-intrusive-load-monitoring-5---preparing-dataset-training-modelSun, 31 Oct 2021 02:54:12 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:ad624339-13d8-4dbd-8c18-8610d9138d2aasokfair1<p>Its a same version of this <a class="jive-link-external-small" href="https://www.hackster.io/taifur/non-intrusive-load-monitoring-using-sensiml-quickfeather-e489cf" target="_blank" title="https://www.hackster.io/taifur/non-intrusive-load-monitoring-using-sensiml-quickfeather-e489cf">https://www.hackster.io/taifur/non-intrusive-load-monitoring-using-sensiml-quickfeather-e489cf</a>  ?</p><img src="https://community.element14.com/aggbug?PostID=21894&AppID=347&AppType=Weblog&ContentType=0" width="1" height="1">