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CERTIFICADO POR:
Curso de Data Science II: Machine Learning para la Ciencia de Datos
En este curso te adentrarás en el mundo del Machine Learning. Aprenderás a construir modelos predictivos, entrenar algoritmos y aplicar técnicas avanzadas para obtener insights y mejorar procesos en proyectos de datos.
ver más
DETALLES DEL CURSO:
Nivel:
Intermedio
Duración:
16 semanas
Módulos:
16
Clases en vivo:
1 clase semanal de 2 hs
Requisitos
HERRAMIENTAS:
SQL
NumPy
DIRECTOR/A DE CARRERA:
Pablo Guzzi
Chief Data & AI Officer @ Ualá Latam
AL FINALIZAR, PODRÁS:
Implementar algoritmos de Machine Learning para resolver problemas de clasificación y regresión.
Optimizar hiperparámetros de modelos utilizando técnicas de validación cruzada avanzada.
Diseñar flujos de procesamiento de datos eficientes integrando SQL y librerías científicas.
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Transformá tu carrera y convertite en
Data Scientist
PARA QUIÉN ES:
Científicos de datos que busquen especializarse en el modelado predictivo avanzado.
Profesionales que necesiten integrar pipelines de datos con algoritmos de aprendizaje automático.
Profesionales que busquen roles de ML Engineer en empresas de tecnología.
MODALIDAD:
CERTIFICACIÓN OFICIAL
Certificados oficiales
por empresas líderes
Certificado oficialmente por:
APRENDÉ CON IA
Explorá el learning path completo
Aprenderás a entrenar modelos de Machine Learning para generar insights de negocio.
1/
16
Retomando el impulso
2/
16
Fundamentos de bases de datos
3/
16
Data Acquisition
4/
16
SQL Básico
5/
16
SQL Avanzado
6/
16
Otros Formatos de Bases de Datos
7/
16
API
8/
16
Data Wrangling I
9/
16
Data Wrangling II
10/
16
Limpieza de Data
11/
16
Exploratory Data Analysis (EDA)
12/
16
Visualización de Datos
13/
16
Storytelling
14/
16
Datos Espaciales y Visualizaciones Animadas
15/
16
Analisis univariado y gráficos
16/
16
Cierre: Proyecto final
Este curso se actualiza continuamente para mejorar y adaptarse a los cambios del entorno digital.
Próximas fechas
11 de Mayo
Lunes — 20:30 hs a 22:30 hs
🔥
6 de Junio
Sábado — 11:00 hs a 13:00 hs
6 de Julio
Lunes — 20:30 hs a 22:30 hs
11 de Agosto
Martes — 19:00 hs a 21:00 hs
14 de Septiembre
Lunes — 20:30 hs a 22:30 hs
26 de Septiembre
Sábado — 11:00 hs a 13:00 hs
SALIDA LABORAL
En Coderhouse, nuestro principal objetivo es ayudarte a conseguir empleo o avanzar en tu carrera profesional. Por eso, nos enorgullece ser la plataforma educativa con la mayor cantidad de graduados en empresas de prestigio.
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7.669 C 62.096 5.618 64.12 4.417 66.434 4.782 C 68.801 5.144 70.001 6.846 69.813 9.764 Z M 67.67 8.293 C 67.371 6.943 66.65 6.395 65.47 6.461 C 64.39 6.522 63.801 7.119 63.712 8.293 Z M 78.658 22.937 L 72.618 22.937 C 72.654 24.772 74.091 25.618 75.677 24.963 C 76.495 24.624 77.392 24.476 78.383 24.199 C 77.935 26.212 75.87 27.221 73.651 26.767 C 71.087 26.245 69.945 24.255 70.455 21.202 C 70.829 18.967 72.789 17.662 75.297 17.983 C 77.626 18.289 78.962 20.19 78.658 22.937 Z M 72.603 21.49 L 76.563 21.49 C 76.329 20.289 75.722 19.719 74.576 19.706 C 73.429 19.693 72.794 20.251 72.603 21.49 Z M 107.627 13.646 C 104.895 13.629 103.295 11.964 103.313 9.133 C 103.33 6.302 104.969 4.668 107.704 4.681 C 110.438 4.694 112.003 6.34 111.995 9.207 C 111.988 12.074 110.415 13.664 107.627 13.646 Z M 109.824 9.515 C 109.806 9.075 109.764 8.636 109.697 8.2 C 109.442 7.153 108.876 6.452 107.699 6.432 C 106.521 6.411 105.797 7.056 105.66 8.119 C 105.523 9.031 105.61 9.962 105.915 10.833 C 106.457 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15.235 L 53.981 17.169 Z M 42.034 13.731 C 42.034 6.181 32.629 0 21.017 0 C 9.405 0 0 6.181 0 13.731 L 0 14.526 C 0 22.562 8.212 29.052 21.017 29.052 C 33.865 29.052 42.034 22.562 42.034 14.526 Z M 41.285 13.732 C 41.285 20.841 32.234 26.625 21.108 26.625 C 9.981 26.625 0.93 20.841 0.93 13.732 C 0.93 6.624 9.981 0.84 21.108 0.84 C 32.234 0.84 41.285 6.624 41.285 13.732 Z M 21.324 20.842 C 21.324 21.813 20.529 22.608 19.558 22.608 C 18.631 22.608 17.836 21.857 17.792 20.93 C 17.792 20.753 17.748 20.709 17.615 20.842 C 17.35 21.106 16.909 21.416 16.158 21.106 C 15.143 20.709 15.099 20.003 15.143 19.694 C 15.143 19.605 15.143 19.561 15.01 19.649 C 14.613 19.914 14.171 20.091 13.642 19.87 C 12.317 19.385 12.449 18.104 12.494 17.751 L 12.494 17.707 C 12.229 17.972 11.92 18.104 11.522 18.104 C 10.727 18.104 10.109 17.486 10.109 16.691 C 10.109 15.897 10.727 15.278 11.522 15.278 C 12.273 15.278 12.847 15.808 12.935 16.515 C 13.156 16.206 13.906 15.323 15.143 15.72 C 16.026 15.985 16.158 16.78 16.158 17.045 C 16.158 17.089 16.202 17.089 16.247 17.045 C 16.423 16.824 17.041 16.338 18.013 16.78 C 19.293 17.354 18.763 18.943 18.719 19.031 C 18.675 19.12 18.631 19.296 18.675 19.296 C 18.719 19.296 19.161 19.075 19.558 19.075 C 20.529 19.075 21.324 19.87 21.324 20.842 Z M 32.322 15.102 C 30.335 13.38 25.743 9.363 24.463 8.435 C 23.756 7.906 23.271 7.597 22.829 7.508 C 22.653 7.464 22.388 7.376 22.034 7.376 C 21.725 7.376 21.372 7.42 21.019 7.552 C 20.224 7.817 19.429 8.435 18.635 9.054 L 18.59 9.098 C 17.884 9.672 17.134 10.246 16.559 10.378 C 16.295 10.422 16.074 10.466 15.809 10.466 C 15.191 10.466 14.617 10.29 14.396 10.025 C 14.352 9.981 14.396 9.892 14.484 9.804 L 16.25 7.906 C 17.619 6.537 18.9 5.256 21.902 5.168 L 22.034 5.168 C 23.889 5.168 25.743 6.007 25.964 6.095 C 27.73 6.934 29.496 7.376 31.307 7.376 C 33.205 7.376 35.148 6.89 37.179 5.963 C 36.958 5.786 36.693 5.566 36.472 5.389 C 34.662 6.184 32.984 6.537 31.307 6.537 C 29.629 6.537 27.951 6.14 26.317 5.345 C 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30.247 17.663 30.247 17.663 C 30.247 17.663 27.995 15.632 27.2 14.926 C 27.068 14.793 26.935 14.705 26.803 14.705 C 26.715 14.705 26.671 14.749 26.626 14.793 C 26.494 14.97 26.626 15.191 26.803 15.323 L 29.408 17.928 C 29.408 17.928 29.717 18.237 29.761 18.635 C 29.761 19.076 29.585 19.429 29.143 19.694 C 28.834 19.915 28.525 20.003 28.216 20.003 C 27.819 20.003 27.554 19.827 27.465 19.783 L 27.068 19.429 C 26.406 18.767 25.699 18.061 25.169 17.663 C 25.037 17.575 24.904 17.442 24.772 17.442 C 24.728 17.442 24.64 17.442 24.595 17.531 C 24.551 17.575 24.507 17.707 24.64 17.928 C 24.684 18.016 24.772 18.061 24.772 18.061 L 26.671 20.18 C 26.671 20.18 27.068 20.666 26.715 21.063 L 26.626 21.151 L 26.45 21.328 C 26.141 21.593 25.699 21.637 25.523 21.637 L 25.258 21.637 C 25.081 21.593 24.948 21.549 24.86 21.46 C 24.772 21.328 23.801 20.401 23.006 19.738 C 22.918 19.65 22.785 19.562 22.653 19.562 C 22.608 19.562 22.52 19.606 22.476 19.65 C 22.343 19.827 22.564 20.092 22.653 20.18 L 24.286 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13.38 20.489 C 13.645 20.577 13.866 20.621 14.087 20.621 C 14.219 20.621 14.396 20.621 14.573 20.577 C 14.705 20.975 15.058 21.46 15.853 21.769 C 16.118 21.902 16.383 21.946 16.648 21.946 C 16.869 21.946 17.089 21.902 17.266 21.814 C 17.619 22.697 18.502 23.315 19.474 23.315 C 20.136 23.315 20.754 23.05 21.195 22.564 C 21.593 22.785 22.388 23.182 23.227 23.182 L 23.536 23.182 C 24.375 23.094 24.728 22.741 24.904 22.52 C 24.948 22.476 24.948 22.432 24.993 22.387 C 25.169 22.432 25.39 22.476 25.655 22.476 C 26.096 22.476 26.538 22.343 26.98 21.99 C 27.421 21.681 27.73 21.24 27.73 20.842 C 27.863 20.886 28.039 20.886 28.172 20.886 C 28.613 20.886 29.099 20.754 29.54 20.445 C 30.379 19.915 30.512 19.164 30.512 18.723 C 30.644 18.767 30.821 18.767 30.953 18.767 C 31.395 18.767 31.836 18.635 32.234 18.37 C 32.764 18.016 33.073 17.531 33.117 16.957 C 33.161 16.559 33.029 16.162 32.852 15.809 C 34.265 15.191 37.444 14.043 41.241 13.16 C 41.241 12.851 41.197 12.586 41.108 12.277 C 36.561 13.248 33.161 14.705 32.322 15.102 Z" fill="rgb(162, 153, 138)" height="29.052077929999996px" id="Fg0VyQnrb" transform="translate(1.5 7.5)" width="111.9950317428963px"/></svg>)
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