Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 1.35 GB | Duration: 50 lectures * 1h 35m
Creating Long-term Portfolios with Crypto-Assets + Portfolio Optimization using Python

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 31 Lessons (2h 11m) | Size: 1.44 GB
Learn The 4 Core Principles For Creating And Designing Impactful Presentations

Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 933 MB
Genre: eLearning Video | Duration: 7 lectures (42 mins) | Language: English
The best way to develop and create your homemade hand-roll croissant at home

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.77 GB | Duration: 218 lectures * 11h 30m
CompTIA Cyber Security Analyst

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Difficulty: Intermediate | Genre: eLearning | Language: English + srt | Duration: 8 Lectures (35m) | Size: 1.36 GB
Description

Publish 05/2022
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Difficulty: Intermediate | Genre: eLearning | Language: English + srt | Duration: 9 Lectures (38m) | Size: 407.3 MB

Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 1.85 GB
Genre: eLearning Video | Duration: 31 lectures (1 hour, 54 mins) | Language: English
A thorough refresher on common algorithms to take before your next coding interview

Last Updated 03/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 151 lectures (18h 14m) | Size: 6.8 GB

Published 04/2022
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 55 Lessons (10h 16m) | Size: 9.8 GB

Janani Ravi, Chetan Prabhu | Duration: 24h 00m | Video: H264 1280x720 | Audio: AAC 48 kHz 2ch | 2,87 GB | Language: English
This skill teaches learners how to build machine learning solutions using Python and the pervasive scikit-learn package, including application of classifcation, regression, and clustering.
* Experience the machine learning workflow as implemented in scikit-learn, and use that workflow to build simple classification, regression, and clustering models.