[ FreeCourseWeb ] Udemy - Machine Learning Crash Course for Beginners using Python

[ FreeCourseWeb.com ] Machine Learning Crash Course for Beginners using Python

Download More Latest Courses Visit -->> https://FreeCourseWeb.com



MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 53 lectures (9h 40m) | Size: 2.74 GB
Complete Machine Learning step-by-step Course, Mastering Regression, Classification and Clustering [2020]
What you'll learn:
The importance of machine learning in this era
How to train your machine to learn
How can your machines learn from data
Different machine learning methods
Regression algorithms
Classification algorithms
Clustering algorithms
Data preparation for Machine Learning Project
How to deal with image/audio video and text data
How to build machine learning models from scratch
An overview of Deep Learning
Implement any project using machine learning tools
Build a face recognition application

Requirements
Absolutely no prior knowledge or experience needed. Only a genuine passion to be successful!
We expect our students to have zero knowledge of machine learning
Admin permission to download files.

Description
Are you ready to start on your path to becoming a machine learning expert? But worried the learning curve is too steep?

Well, that’s understandable. Machine learning is typically explained using complex mathematical principles. This course, however, cuts through the math and makes it easy for you to learn how machine learning algorithms work.

Use Winrar to Extract. And use a shorter path when extracting, such as C: drive

ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)

Download More Latest Courses Visit -->> https://FreeCourseWeb.com

Get Latest Apps Tips and Tricks -->> https://AppWikia.com

We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...

udp://opentor.org:2710/announce

udp://p4p.arenabg.com:1337/announce

udp://tracker.torrent.eu.org:451/announce

udp://tracker.cyberia.is:6969/announce

udp://9.rarbg.to:2710/announc

udp://explodie.org:6969/announce

udp://tracker.moeking.me:6969/announce

udp://tracker.opentrackr.org:1337/announce

udp://tracker.tiny-vps.com:6969/announce

udp://ipv4.tracker.harry.lu:80/announce

udp://tracker.coppersurfer.tk:6969/announce

udp://tracker.leechers-paradise.org:6969/announce

udp://open.stealth.si:80/announce

udp://tracker.pirateparty.gr:6969/announce

udp://inferno.demonoid.is:3391/announce