了解如何在新冠肺炎项目中使用熊猫、NumPy、Dash、Plotly、Scikit-Learn、机器学习、Tensorflow等

你会学到什么
完成与新冠肺炎相关的端到端实时项目。
将深度学习和机器学习概念应用于真实世界的案例。
应用时间序列分析、仪表板构建、LSTMs、对象检测、GBMs等概念。
处理各种类型的数据,包括结构化和非结构化数据,如文本、图像、视频。
使用Dash & Plotly构建实时新冠肺炎仪表板

MP4 |视频:h264,1280×720 |音频:AAC,44.1 KHz,2 Ch
语言:英语+中英文字幕(云桥网络 机译) |时长:77节课(9h 19m) |大小解压后:7.66 GB 含课程文件


要求
机器学习和深度学习概念的知识。
编程知识,最好是Python

描述
为新冠肺炎使用真实世界数据集的9个项目合二为一!!!!!!!

一个多世纪以来,数据一直是对抗疾病最有力的武器无论是2003年的非典还是2012年的MERS,数据一直是对抗疾病最有力的武器。我们现在可以用数据来解决与新冠肺炎有关的问题吗?

使用Python为新冠肺炎介绍数据科学和机器学习,这是互联网上唯一一门涵盖使用深度学习和机器学习解决与新冠肺炎相关的现实问题的深度和广度的课程。

厌倦了使用虚拟数据集?在本课程中,我们将使用真实世界的数据,并解决与新冠肺炎相关的各种问题。在这个过程中,我们会学到很多工具和概念。

以下是我们将要报道的项目

1.面罩检测

2.使用Dash & Plotly构建新冠肺炎实时仪表板

3.利用激光扫描显微镜预测基因降解

4.基于症状的新冠肺炎分类

5.新冠肺炎案例的时间序列预测

6.利用胸部x光进行新冠肺炎分类

7.使用对象检测检测社交距离

8.使用Rasa的新冠肺炎诊断和常见问题聊天机器人

9.新冠肺炎推特在微软精选数据集上的分类

在这个旅程中,你会学到很多工具和框架

1.熊猫

2.数字

3.OpenCV

4.Scikitlearn

5.张量流2

6.Keras

7.拉萨

8.YoloV2

9.先知

同时,我们将涵盖以下概念并实施上述实际项目

1.人脸检测

2.目标检测

3.仪表板建筑

4.序列间预测

5.图像分类

6.聊天机器人大楼

结合幻灯片和代码演练,您将完成一个完整的旅程,解决每个项目中提到的每个问题。该课程附带了开发所有项目时使用的所有源代码。

这门课是给谁的
任何对编程和基本数据科学概念有所了解的人。
初级数据科学家
经验丰富的数据科学家
软件开发人员对数据科学感兴趣
初学Python的开发人员对数据科学很好奇

MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 77 lectures (9h 19m) | Size: 7.53 GB

Learn how to use Pandas, NumPy, Dash, Plotly, Scikit-Learn, Machine Learning, Tensorflow , and more on COVID-19 project

What you’ll learn
Complete end-to-end realtime projects related to COVID-19.
Apply Deep Learning and Machine Learning concepts on real world cases.
Apply concepts like Time Series Analysis, Dashboard Building, LSTMs, Object Detection, GBMs.
Work with various types of data which includes structured and unstructured data like text, image, videos.
Build a Live COVID-19 Dashboard Using Dash & Plotly

Requirements
Knowledge of Machine Learning and Deep Learning Concepts.
Knowledge of programming preferably in Python.

Description
9 Projects in 1 Using Real-World Datasets for COVID-19!!!!!!!

For over a century, data has been the most powerful weapon to fight disease whether it was SARS in 2003 or MERS in 2012, data has been the most powerful weapon to fight disease. Can we now use data to solve problems related to COVID-19?

Introducing Data Science & Machine Learning for Covid-19 using Python, the only course on the internet that will cover the depth and breadth of using Deep Learning and Machine Learning to solve real-world problems related to COVID-19.

Tired of using dummy datasets? In this course we will use real-world data and solve various problems related to COVID-19. Along the way we will be learning a lot of tools and concepts.

Following are the projects we will be covering

1. Face Mask Detection

2. Building a COVID-19 Live Dashboard using Dash & Plotly

3. mRNA degradation Prediction using LSTMs

4. Classifying COVID-19 based on Symptoms using GBM

5. Time Series Forecasting of COVID-19 cases

6. COVID-19 Classification Using Chest X-rays

7. Detecting Social Distancing Using Object Detection

8. COVID-19 Diagnosis & FAQ Chatbot Using Rasa

9. COVID-19 Tweets Classification on Microsoft Curated Dataset Using RNNs

During this journey, you will be learning a lot of tools and frameworks

1. Pandas

2. Numpy

3. OpenCV

4. Scikitlearn

5. Tensorflow 2

6. Keras

7. RASA

8. YoloV2

9. FB Prophet

Along side we will cover the following concepts and implement the above practical projects

1. Face Detection

2. Object Detection

3. Dashboard Building

4. Sequence to Sequence Prediction

5. Image Classification

6. Chatbot Building

With a blend of slides and code walkthrough you are taken through a complete journey of solving every problem mentioned in each of the projects. The course comes with all the source code used in developing all the projects.

The course will be timely updated! With query resolution in the Q&A section so you are not left out on any concept!

Who this course is for
Anyone with some knowledge of Programming and basic data science concepts.
Beginner Data Scientists
Experienced Data Scientists
Software Developers interested in Data Science
Beginner Python developers curious about Data Science
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