Python para aprendizaje automático y big data (nivel 4)
En este curso de Python para aprendizaje automático y big data, los estudiantes exploran conceptos de aprendizaje automático como reconocimiento de imágenes, clasificación y predicción de precios de acciones. Trabajarán con conjuntos de datos reales y proyectos prácticos para crear modelos.
AI Code Academy
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4.7
Número de reseñas:(1,743)
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Qué está incluido
10 reuniones en vivo
10 horas presencialesTarea
1-2 horas por semana. Projects are not mandatory but we strongly encourage students to complete them.Evaluación
incluidoCertificado de finalización
1 después de finalizar la claseExperiencia de clase
In Python for Machine Learning and Big Data (Level 4), students will be introduced to essential machine learning concepts, including image recognition, classification, and stock market prediction. The course is structured over 10 lessons, each building on core skills and progressing to more advanced topics like model generation and data analysis. Students will work with real-world datasets, exploring stock prices, weather predictions, and even NBA draft picks to apply machine learning techniques. Python and Google Colaboratory will be used to create models, clean data, and generate predictions. Along the way, they will develop a solid understanding of how machine learning applies to both supervised and unsupervised learning. The course covers topics such as: Image recognition and classification Stock price prediction Flower classification using Python Data cleanup and model generation Students will have opportunities to engage in hands-on projects, gaining experience with each new concept, and will complete a final project that will be presented to the class. All lessons are designed to reinforce learning through real-world examples and projects. For a week to week program, check out the syllabus.
Metas de aprendizaje
Students will gain a foundational understanding of machine learning concepts and techniques through hands-on projects using AICode101 and Google Colaboratory.They will learn to set up accounts, use machine learning tools, and apply concepts to real-world data, culminating in the creation and presentation of their final projects.
Programa de estudios
10 Lecciones
más de 10 semanasLección 1:
Overview
Designed to provide students with a very basic understanding of machine learning concepts that they will be able to apply in the course. They will also be shown the tools they will be using throughout the course.
Task: Set up AICode101 Accounts
Students will be tasked with creating AICode101 accounts and walking through the website to learn how it will be used in the course. 60 minutos de lección en vivo en línea
Lección 2:
Image Recognition Project with AICode101
Designed to provide students with an introduction to image recognition in machine learning. Students will be able to apply concepts in machine learning to generate their own program to recognize categorized images.
Task: Image Recognition Project
Students will be tasked with creating an AICode101 image recognition project. Through this, they will learn key fundamentals of image recognition in machine learning. 60 minutos de lección en vivo en línea
Lección 3:
‘Rain in Australia’ Number Project with AICode101
Designed to provide students with an introduction to classification with data in machine learning. Students will be able to apply concepts in machine learning to generate their own program to predict weather.
Task: Number Project
Students will be tasked with creating an AICode101 number project. Through this, they will learn key fundamentals of classification in machine learning. 60 minutos de lección en vivo en línea
Lección 4:
The Stock Market Fundamentals
Designed to provide students with an introduction to the stock market in preparation for the next lesson. Students will learn about what the stock market is and how it can be incorporated into machine learning.
Task: Stock Market Search
Students will be tasked with navigating financial sites to view different stocks and the associated data that defines a stock and its performance. 60 minutos de lección en vivo en línea
Otros detalles
Requisitos previos
25 hours of Python Coding experience or to have attended our Python level 1 and 2 courses.
Recursos externos
Los estudiantes no necesitarán utilizar ninguna aplicación o sitio web más allá de las herramientas estándar de Outschool.
Se unió el April, 2020
4.7
1743reseñas
Popular
Experiencia y certificaciones del docente
**USE PROMO CODE: CODEAIPROMO10 FOR $10 OFF ANY COURSE - Valid until Nov, 25 **
~We offer early registration, sibling discounts, and multi-course bundles. ~
~Check out our complete Outschool offering here: https://shorturl.at/bcBGP ~
At AI Code Academy, we specialize in project-based STEM coding, AI, and mathematics programs for young learners. We are one of the few organizations that offer AI and machine learning courses tailored for kids. Our comprehensive curriculum spans from basic computer skills and Scratch coding to more advanced Python, Java, web design, game development, and AI machine learning projects.
Our unique focus is on introducing students to AI early, helping them grasp complex concepts like machine learning, data analysis, and smart devices, while also reinforcing mathematics skills, essential for their success in STEM fields.
With a team of passionate instructors—college students and recent graduates with degrees in Engineering and Computer Science—we provide hands-on, real-world projects that prepare students for future careers in AI, coding, robotics, and mathematics.Reseñas
Curso grupal en vivo
28 US$
semanalmente o 279 US$ por 10 clases1 x por semana, 10 semanas
60 min
Completado por 116 alumnos
Videoconferencias en vivo
Edades: 13-18
4-10 alumnos por clase
Asistencia financiera
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Tutoría
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