Python Machine Learning Tutorial for Beginners

In this Python Machine Learning tutorial, you'll learn about Supervised, Unsupervised, and Reinforcement Learning with Python Demos
A Complete Machine Learning Project Walk-Through in Python
☞ https://morioh.com/p/b56ae6b04ffc
Top 30 Python Libraries for Machine Learning
☞ https://morioh.com/p/a42cb68ff2b5
Machine Learning From Scratch In Python - Full Course With 12 Algorithms (5 HOURS)
☞ https://morioh.com/p/c81eb01421e2

Learners completing this course will be able to give definitions and explain the types of problems that can be solved by the 3 broad areas of machine learning: Supervised, Unsupervised, and Reinforcement Learning.

Course Topics and Approach:

This course gives a gentle introduction to the 3 broad areas of machine learning: Supervised, Unsupervised, and Reinforcement Learning. The goal is to explain the key ideas using examples with many plots and animations and little math, so that the material can be accessed by a wide range of learners. The lectures are supplemented by Python demos, which show machine learning in action. Learners are encouraged to experiment with the course demo codes. Additionally, information about machine learning resources is provided, including sources of data and publicly available software packages.

Course Audience:

This course has been designed for ALL LEARNERS!!!

Course does not go into detail into the underlying math, so no specific math background is required

No previous experience with machine learning is required

No previous experience with Python (or programming in general) is required to be able to experiment with the course demo codes

Python Demos:

There are several options for running the Python demos:

Run online using Google Colab (With this option, demo codes can be run completely online, so no downloads are required. A Google account is required.)

Run on local machine using the Anaconda platform (This is probably best approach for those who would like to run codes locally, but don't have python on their local machine. Demo video shows where to get free community version of Anaconda platform and how to run the codes.)

Run on local machine using Python (This approach may be most suitable for those who already have python on their machines)

What you’ll learn

Overview of Supervised, Unsupervised, and Reinforcement Learning

Are there any course requirements or prerequisites?

Interest in machine learning

Who this course is for:

People curious about machine learning and data science

#MachineLearning #Python #Morioh

Note: If you have any copyright issue with the content used in our channel or you find something that belongs to you, before you claim it to Youtube, SEND US A MESSAGE and the respective content will be DELETED right away. Thanks for understanding.

◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️
? Merchandise: https://www.moteefe.com/store/developer?cp=WP6JDT
? Social Network for Developers: https://morioh.com/