Having a solid understanding of linear regression—a method of modeling the relationship between one dependent variable and one to several other variables—can help you solve a multitude of real-world problems. Applications areas involve predicting virtually any numeric value including housing values, customer spend, and stock prices. This course reveals the concepts behind the most important linear regression techniques and how to use them effectively. Throughout the course, instructor Keith McCormick uses IBM SPSS Statistics as he walks through each concept, so some exposure to that software is assumed. But the emphasis will be on understanding the concepts and not the mechanics of the software. SPSS users will have the added benefit of being exposed to virtually every regression feature in SPSS.
Instructor Keith McCormick covers simple linear regression, explaining how to build effective scatter plots and calculate and interpret regression coefficients. He also dives into the challenges and assumptions of multiple regression and steps through three distinct regression strategies. To wrap up, he discusses some alternatives to regression, including regression trees and time series forecasting.
Duration: 3h 57m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 627 MB
Level: Intermediate | Genre: eLearning | Language: English

Face recognition is used for everything from automatically tagging pictures to unlocking cell phones. And with recent advancements in deep learning, the accuracy of face recognition has improved. In this course, learn how to develop a face recognition system that can detect faces in images, identify the faces, and even modify faces with "digital makeup" like you've experienced in popular mobile apps. Find out how to set up a development environment. Discover tools you can leverage for face recognition. See how a machine learning model can be trained to analyze images and identify facial landmarks. Learn the steps involved in coding facial feature detection, representing a face as a set of measurements, and encoding faces. Additionally, learn how to repurpose and adjust pre-existing systems.
Duration: 1h 25m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 284 MB
Level: Intermediate | Genre: eLearning | Language: English
Free Download Linkedin - Deep Learning: Face Recognition

javascript developers can use the TensorFlow framework to create a machine learning (ML) project. This course introduces you to ML basics, and demonstrates how to set up and use TensorFlow to train a model and generate live results. Emmanuel Henri shows how to create a new project; how to work with different tensor types, variables, models, and layers; how to import a project and explore datasets; how TensorFlow executes model training; how to convert a saved model for the web; and more.
Duration: 57m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 162 MB
Level: Intermediate | Genre: eLearning | Language: English
Free Download Learning TensorFlow with javascript

Learning a new parenting language that will help your anxious child
Last updated 02/2023
Duration: 1h 41m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 1.39 GB
Genre: eLearning | Language: English[Auto]

Learn the Basics of Jupyter Notebook, Data Manipulation, Visualization, and Collaboration in Python Environment
Published 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.08 GB | Duration: 1h 29m

Learn Fortinet NSE7 Version 7 SD-WAN with Step by Step Lab Workbook
Last updated 2/2023
Created by Ahmad Ali
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Build Doctor Appointment Booking Application From Scratch using React , Firebase and ANTD
Published 2/2023
Created by K.Sathyaprakash Reddy
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

DNS configuration
Published 2/2023
Created by GBENGA KESHINRO
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

ChatGPT To Dramatically Improve Productivity + Unusual Time Mgmt. Tips. ChatGPT Work, ChatGPT Automation, ChatGPT 2023!
Last updated 02/2023
Duration: 3h 19m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 3.5 GB
Genre: eLearning | Language: English[Auto]

TensorFlow is one of the most popular deep learning frameworks available. It's used for everything from cutting-edge machine learning research to building new features for the hottest start-ups in Silicon Valley. In this course, learn how to install TensorFlow and use it to build a simple deep learning model. After he shows how to get TensorFlow up and running, instructor Adam Geitgey demonstrates how to create and train a machine learning model, as well as how to leverage visualization tools to analyze and improve your model. Finally, he explains how to deploy models locally or in the cloud. When you wrap up this course, you'll be ready to start building and deploying your own models with TensorFlow.
Duration: 1h 46m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 274 MB
Level: Intermediate | Genre: eLearning | Language: English
Free Download Building and Deploying Deep Learning Applications with TensorFlow