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Introduction

Getting Started

Setup Python
Setup IDE
- Setup Visual Studio Code
Setup WSL (Optional)
Setup Git (Optional)

Tutorials

Calculator Program in Python
Student Grader Program with Object-Oriented Programming
Analyzing Text about Artificial Intelligence
Hello, World of Machine Learning
Number Classification with TensorFlow
Integration with OpenAI API

Python

Python Fundamentals 1
- Hello, World!
- Variables
- Data Types
  - Strings
  - Lists
  - Tuples
  - Sets
  - Dictionaries
- Operators
- Conditionals
- Loops
- Functions
- Modules & Packages
Python Fundamentals 2
Object-Oriented Programming in Python

NumPy

Introduction to NumPy
Visual Introduction to NumPy
NumPy Exercises

Pandas

Introduction to Pandas
Visual Introduction to Pandas
Pandas Exercises

TensorFlow

Introduction to TensorFlow
Introduction to Tensors
TensorBoard

Data Science

Introduction to Data Science
Data Science Lifecycle
Exploratory Data Analysis

Data Visualization

Introduction to Matplotlib
Visualizing Quantities
Visualizing Distributions
Visualizing Proportions
Visualizing Relationships

Data Preprocessing

Text Preprocessing
Number Preprocessing
Image Preprocessing

Machine Learning

Introduction to Machine Learning
Supervised Learning
Unsupervised Learning
- K-Means Clustering

Deep Learning

Introduction to Deep Learning
Beyond Hello World, A Computer Vision Example
Hyperparameter Tuning with Keras Tuner
Transfer learning and fine-tuning

Generative AI

Introduction to Generative AI
Introduction to Large Language Model (LLM)
Setup Local LLMs

Deployment

Deployment
Deploy Python Apps
Deploy ML Apps

Reference

Domains of Artificial Intelligence

Repository
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Supervised Learning

Supervised Learning#

In this chapter, you’ll learn about:

Linear Regression with SKLearn
Linear Regression with TensorFlow
Support Vector Machine

previous

Introduction to Machine Learning

next

Linear Regression with SKLearn

By AIRLab Unsri