MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 95 lectures (13h 15m) | Size: 5.4 GB
Learn the Intuition and Math behind Every Model

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 13 lectures (54m) | Size: 445.5 MB
Step-By-Step Guide to Build Collaborative Filtering and Association Rule Based Recommender Using Fastai and Python

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 33 lectures (13h 11m) | Size: 3.9 GB
Complete Machine Learning Course with Python for beginners

Last Update: 4/2021
Duration: 35h1m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 13.1 GB
Genre: eLearning | Language: English

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 68 lectures (6h 58m) | Size: 2.3 GB
This course by industry and academic leaders is for people who want to build rewarding careers in data science

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 29 lectures (4h 26m) | Size: 1.51 GB
Essentials of Low-level Interpretation

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 1.34 GB | Duration: 5h 48m
From beginning to pro level

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 13 lectures (3h 28m) | Size: 1.3 GB
Learn Artificial intelligence (AI) and train computer, human intelligence processes through application of algorithms

Duration: 2h 49m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 1.45 GB
Level: Intermediate | Genre: eLearning | Language: English
Excel, R, and Power BI are applications universally used in data science and across businesses and organizations around the world. If you've spent any time trying to figure out how to better model your data to get useful insights from it that you can act upon, you've most likely encountered these applications. In this course, Helen Wall shows how to use Excel, R, and Power BI for logistic regression in order to model data to predict the classification labels like detecting fraud or medical trial successes. Helen walks through several examples of logistic regression. She shows how to use Excel to tangibly calculate the regression model, then use R for more intensive calculations and visualizations. She then illustrates how to use Power BI to integrate the capabilities of Excel calculations and R in a scalable, sharable model.

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 90 lectures (23h 31m) | Size: 7.75 GB
Build Machine Learning Models in Python using Scikit-Learn, Numpy, Pandas, Statsmodel Libraries