UDEMY 2021 - Introduction to Machine Learning & Deep Learning in Python
- 1. UDEMY 2021 - MCSA Windows Server(70-740) Course
- 2. UDEMY 2021 - Cisco CCNA Packet Tracer Ultimate labs: CCNA 200-301 labs [BESTSELLER]
- 3. UDEMY 2021 - Network Hacking Continued – Intermediate to Advanced
- 4. UDEMY 2021 - Web Applications Hacking and Penetration Testing (practical)
Regression, Naive Bayes Classifier, Support Vector Machines, Random Forest Classifier and Deep Neural Networks
What you’ll learn
Solving classification problems
Using neural networks
This course is about the fundamental concepts of machine learning, focusing on regression, SVM, decision trees and neural networks. These topics are getting very hot nowadays because these learning algorithms can be used in several fields from software engineering to investment banking. Learning algorithms can recognize patterns which can help detect cancer for example or we may construct algorithms that can have a very good guess about stock prices movement in the market.
In each section we will talk about the theoretical background for all of these algorithms then we are going to implement these problems together. We will use Python with Sklearn, Keras and TensorFlow.
Thanks for joining the course, let’s get started!
Who this course is for:
Created by Holczer BalazsLast updated 4/2019EnglishEnglish [Auto-generated]
Size: 1.82 GB