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# Curso de estadística para Machine Learning con Python | ||
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En este curso se verán los conceptos de estadística básicos para introducirse al mundo del Machine Learning y al análisis de datos. Este curso no pretende cubrir todo el temario de un curso universitario de estadística | ||
si no, dar al alumno las herramientas necesarias para poder comprender los problemas de ciencias de datos. | ||
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### Herramientas | ||
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A lo largo del curso, trabajaremos con **Python**, en particular, utilizaremos librerias para la manipulación, visualización y limpieza de nuestros datos | ||
- Pandas | ||
- Matplotlib | ||
- Scipy | ||
- Numpy | ||
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### Clases grabadas | ||
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Podrás encontrar el contenido grabado en Youtube clase a clase: | ||
- [Lista de reproducción](https://www.youtube.com/watch?v=tPUIP2VW--8&list=PLtKI8MF06ilAy3rwpJNJrl6Zg3SPrDJDW) | ||
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### Notebooks de clases: | ||
- [Clase 1](https://github.com/dileofrancoj/curso-estadistica/blob/main/clase-1.ipynb) | ||
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### Conceptos vistos clase a clase: | ||
- Clase 1 | ||
- Introducción a la estadística | ||
- Datos rectangulares | ||
- Creación de tablas | ||
- Manipulación de datos | ||
- Tipos de gráficos | ||
- Medidas de tendencia central |