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PMMD 2001: Python for Modeling, Machine Learning & Design

PMMD 2001: Python for Modeling, Machine Learning & Design

Categories: Design Lecture Series
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About Course

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

 

Course Content

Python: Modeling, Machine Learning & Design
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

  • Design Lecture Series: Python for Modeling, Machine Learning & Design
  • Lecture 001: Python for Modeling, Machine Learning & Design: Pre-Lecture Guide
  • Lecture 011: Introducing Machine Learning
    01:30:31
  • Lecture 012: Lexical Analysis
    01:44:03
  • Tutorial 012: Lexical Analysis
    54:10
  • Lecture 021: Python Collections and Controls
    54:10
  • Lecture 022: Supervised Learning
    54:10
  • Tutorial 021: Python Collections and Controls I
    54:10
  • Tutorial 022: Supervised Learning
    54:10
  • Lecture 031: Python Collections and Controls I Review
    54:10
  • Lecture 032: Python Collections and Controls I Tutorial Review
    52:57
  • Lecture 033: Python Collections and Controls II
    01:44:03
  • Tutorial 031: Python Collections and Controls II
    49:14
  • Tutorial 032: Perceptron Algorithm
    44:12
  • Lecture 041: Unsupervised Learning
    01:35:45
  • Lecture 042: Python Collections and Controls III
    01:43:43
  • Tutorial 041: Unsupervised Learning
    01:43:43
  • Tutorial 042: Python Collections and Controls III
    33:44
  • Lecture 051: Unsupervised Learning II
    01:36:27
  • Lecture 052: Simple Models in Fusion 360 API
    01:28:25
  • Tutorial 051: Simple Models in Fusion 360 API
    01:28:25
  • Tutorial 052: Unsupervised Learning II
    52:25
  • Assignment 050: Simple Models in Fusion 360 API
  • Lecture 061: Simple Models in Fusion 360 API II
    01:28:25
  • Tutorial 061: Simple Models in Fusion 360 API II
    49:46
  • Tutorial 062: KMeans Clustering
    47:46
  • Lecture 071: Simple Models in Fusion 360 API III
    01:12:44
  • Tutorial 071: Collections and Comprehensions
    26:44
  • Tutorial 072: Machine Learning Recap
    38:55
  • Lecture 081: Object-Oriented Python I
    38:01
  • Lecture 082: Machine Learning Recap II
    50:52
  • Tutorial 081: Object-Oriented Python I
    30:00
  • Tutorial 082: Machine Learning Recap II
    46:50
  • Lecture 091: Object-Oriented Python II-1
    58:45
  • Lecture 091: Object-oriented Python II-2
    34:20
  • Lecture 091: Object-Oriented Python II-3
    26:23
  • Tutorial 091: Object-Oriented Python III
    01:04:38
  • Lecture 101: Distinguish Between Males and Females
    39:40
  • Tutorial 101: Distinguishing Between Males and Females
    34:20
  • Lecture 102: Fusion 360 Object Model
    01:03:21
  • Lecture 111: Distinguish Between Males and Females II
    01:40:38
  • Tutorial 110
    02:07:38
  • Lecture: 112: Fusion 360 Object Model II
    01:54:52
  • Lecture 121: Perceptron
  • Lecture 122: Fusion 360 Object Model III
    01:30:13
  • Tutorial 122: Fusion 360 Object Model III
    01:01:42
  • S2P Africa Initiative Student Internship
  • INTERACTIVE MATH WITH PYTHON PRE-COURSE WEBINAR
    27:42