PMMD 2001: Python for Modeling, Machine Learning & Design
PMMD 2001: Python for Modeling, Machine Learning & Design
About Course
This beginner's course requires a background of Senior Secondary Trigonometry, Calculus, and a decent ability to navigate the web. It is a practical skills course suitable for students in full-time study elsewhere but want to gain the necessary skills to become competitive in a globalized world. You will need to invest in a computer and decent data bandwidth. Most software used are in the public domain or available to students for free.Description
This package is for individual registration. A group of 4 people or less will pay N10,000.00 each per month.
This course covers:
• Programming, Design & AI
• Python Lexical Analysis with Geometrical visualizations;
• Fusion 360 Basics;
• Introduction to Machine Learning;
• Fundamental types and the Python Object Model;
• Programme Structure, Execution & Debugging;
• The Fusion 360 API Object Model and Parametric Modeling.
• Models for simulation scenarios and design
Topics for this course
Python: Modeling, Machine Learning & Design
Lecture 011: Introducing Machine Learning1:30:31
Lecture 012: Lexical Analysis1:44:03
Tutorial 012: Lexical Analysis54:10
Lecture 021: Python Collections and Controls54:10
Lecture 022: Supervised Learning54:10
Tutorial 021: Python Collections and Controls I54:10
Tutorial 022: Supervised Learning54:10
Lecture 031: Python Collections and Controls I Review54:10
Lecture 032: Python Collections and Controls I Tutorial Review52:57
Lecture 033: Python Collections and Controls II1:44:03
Tutorial 031: Python Collections and Controls II49:14
Tutorial 032: Perceptron Algorithm44:12
Lecture 041: Unsupervised Learning1:35:45
Lecture 042: Python Collections and Controls III1:43:43
Tutorial 041: Unsupervised Learning1:43:43
Tutorial 042: Python Collections and Controls III33:44
Lecture 051: Unsupervised Learning II1:36:27
Lecture 052: Simple Models in Fusion 360 API1:28:25
Tutorial 051: Simple Models in Fusion 360 API1:28:25
Tutorial 052: Unsupervised Learning II52:25
Assignment 050: Simple Models in Fusion 360 API
Lecture 061: Simple Models in Fusion 360 API II1:28:25
Tutorial 061: Simple Models in Fusion 360 API II49:46
Tutorial 062: KMeans Clustering47:46
Lecture 071: Simple Models in Fusion 360 API III1:12:44
Tutorial 071: Collections and Comprehensions26:44
Tutorial 072: Machine Learning Recap38:55
Lecture 081: Object-Oriented Python I38:01
Lecture 082: Machine Learning Recap II50:52
Tutorial 082: Machine Learning Recap II46:50
Tutorial 091: Object-Oriented Python III1:04:38
Lecture 101: Distinguish Between Males and Females39:40
Tutorial 101: Distinguishing Between Males and Females34:20
Lecture 102: Fusion 360 Object Model1:03:21
Lecture 111: Distinguish Between Males and Females II1:40:38
Tutorial 1102:07:38
Lecture: 112: Fusion 360 Object Model II1:54:52
Lecture 121: Perceptron
Lecture 122: Fusion 360 Object Model III1:30:13
Tutorial 122: Fusion 360 Object Model III1:01:42
It was really great taking the course, i grew from being a novice in programming generally to one who can read ,write codes,and draw models of simple assembles(simple pully assemble) using both the API and GUI. The lecture --- tutorial structure of the course was very effective. A big thanks to the whole team
It's have been interesting to me as a mathematian. Thanks to this initiative
