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Temperature\n![Python](https://camo.githubusercontent.com/0562f16a4ae7e35dae6087bf8b7805fb7e664a9e7e20ae6d163d94e56b94f32d/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f707974686f6e2d3336373041303f7374796c653d666f722d7468652d6261646765266c6f676f3d707974686f6e266c6f676f436f6c6f723d666664643534) ![`!\\[scikit-learn\\](!\\[https://img.shields.io/badge/scikit--learn-%23F7931E.svg?style=for-the-badge\u0026logo=scikit-learn\u0026logoColor=white\\](https://img.shields.io/badge/scikit--learn-#F7931E.svg?style=for-the-badge\u0026logo=scikit-learn\u0026logoColor=white))`](https://camo.githubusercontent.com/d7eb681a1d19819ff9caeee4e3b0b1748da0b97af47e2084ca3d5e8302aec8a9/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f7363696b69742d2d6c6561726e2d2532334637393331452e7376673f7374796c653d666f722d7468652d6261646765266c6f676f3d7363696b69742d6c6561726e266c6f676f436f6c6f723d7768697465) ![enter image description here](https://camo.githubusercontent.com/6631ab3e404c95feff2366126736bf6b3759e4be11357ea07405a3527b9a3138/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6e756d70792d2532333031333234332e7376673f7374796c653d666f722d7468652d6261646765266c6f676f3d6e756d7079266c6f676f436f6c6f723d7768697465) ![Pandas](https://camo.githubusercontent.com/05cab52d05663cecbe47a23ca71075ba81b9080dd50561d0f76eb46e902cfef8/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f70616e6461732d2532333135303435382e7376673f7374796c653d666f722d7468652d6261646765266c6f676f3d70616e646173266c6f676f436f6c6f723d7768697465)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthiagohrcosta%2Fmachinelearning-temperature","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fthiagohrcosta%2Fmachinelearning-temperature","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthiagohrcosta%2Fmachinelearning-temperature/lists"}