Duration: 3h 8m | Video: .MP4 1280x720, 30 fps(r) | Audio: AAC, 48000 Hz, 2ch | Size: 1.14 GB
Genre: eLearning | Language: English
Welcome to Course "Intelligently Extract Text & Data from Document with OCR NER" !!!

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 59 lectures (3h 29m) | Size: 1.1 GB
Master this fundamental skill of data science in Python with the matDescriptionlib, seaborn, Descriptionly and dash libraries

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 15.3 GB | Duration: 33h 38m
Learn To Build & Deploy Machine Learning, Data Science, Deep Learning Projects (Python, Flask, Django, Heruko Cloud)

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 2h 54m | Size: 393.2 MB
Data and databases are an important component in most applications. While developers have access to a wide choice of data sources, Microsoft SQL Server remains a popular relational database choice. In this course, Walt Ritscher looks at the Visual Studio tooling available for creating, modifying, and using SQL Server databases. He shows how to connect to databases and work with data on enterprise servers, in the Azure cloud, and even to the special LocalDB developer databases included in Visual Studio. With the Visual Studio tools, developers can perform necessary tasks without needing the admin-focused SQL Server Management tool on their developer computer. Essentially, Visual Studio removes unnecessary features like admin tools, and focuses on tools that are useful for developers, like database and schema comparison tools. Join Walt in this course to learn to develop, build, test, and publish your database from a source-controlled project, just like you develop your application code.

Matt Allford | Duration: 3:16 h | Video: H264 1280x720 | Audio: AAC 48 kHz 2ch | 353 MB | Language: English + SUB
Are you looking to get certified with VMware's flagship Data Center Virtualization exam? This course will teach you to understand VMware vSphere architectures and technologies, a core objective in the VCP DCV 2021 exam.
Are you interested in becoming a VMware Certified Professional? In this course, vSphere Data Center Virtualization: Architectures and Technologies, you'll learn the key objectives outlined for the VMware Products and Solutions and Architectures and Technologies sections of the exam. First, you'll explore the core components and technologies of vSphere. Next, you'll see how to describe and explain many of the core networking and storage capabilities of vSphere. Finally, you'll learn about some surrounding VMware products and solutions that compliment the core vSphere stack. When you're finished with this course, you'll have the skills and knowledge of vSphere needed to support you in sitting and passing the VMware VCP-DCV 2021 exam.

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 11 Lessons (31m) | Size: 90.4 MB
An important part of working with data is being able to visualize it. Python has several third-party modules you can use for data visualization. One of the most popular modules is MatDescriptionlib and its submodule pyDescription, often referred to using the alias plt. MatDescriptionlib provides a very versatile tool called plt.scatter() that allows you to create both basic and more complex scatter Descriptions.

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 5 lectures (5h 51m) | Size: 2.54 GB
Complete Data Science Training: Mathematics, Statistics, Python, Machine Learning