Outline

Day 1

Morning session

• Introduction
• Python Environment Set-up
  • Windows and Mac
• Jupyter Notebook Overview
• Google Colaboratory (Colab)
• Break
• Python Basics (Part 1)
  • Interactive Interpreter and Comments
  • Variable and Types, Number and Boolean
• Python Basics (Part 2)
  • Strings, Control I/O, and Functions
• Tutorial 1: Python Basics Part 1 (T1 - Google Colab)
• Exercise 1: Python Basics Part 1(E1 - Google Colab)
• Lunch

Afternoon session

• Python Basics (Part 3)
  • Control Flow (Condition) and Loops
  • List and Dictionary
• Tutorial 2: Python Basics Part 2 (T2 - Google Colab)
• Exercise 2: Python Basics Part 2 (E2 - Google Colab)
• Break
• Python for Data Analysis
  • NumPy
  • Tutorial 3: NumPy
    • Tutorial 3.1: NumPy Arrays (T3_1 - Google Colab)
    • Tutorial 3.2: NumPy Indexings (T3_2 - Google Colab)
    • Tutorial 3.3: NumPy Operations
  • Pandas
  • Tutorial 4: Pandas (T4 - Google Colab)
• Exercise 3: NumPy Exercises (E3 - Google Colab)
• Exercise 4: Pandas Exercises (E4 - Google Colab)

Day 2

Morning session

• Python for Data Visualization
  • Matplotlib
  • Seaborn
• Tutorial 5: Python for Data Visualisation (T5 - Google Colab)
• Exercise 5: Data Visualization Exercise (E5 - Google Colab)
• Break
• Introduction to Machine Learning
• Machine Learning Basics with Python (Part 1)
  • Linear Regression
  • Tutorial 6.1.1: Linear Regression (T6_1_1 - Google Colab)
  • Logistic Regression
  • Tutorial 6.1.2: Logistic Regression (T6_1_2 - Google Colab)
• Exercise 6.1.1: Machine Learning Exercise 1.1 - Linear Regression (E6_1_1 - Google Colab)
• Exercise 6.1.2: Machine Learning Exercise 1.2 - Logistic Regression (E6_1_2 - Google Colab)
• Lunch

Afternoon session

• Machine Learning Basics with Python (Part 2)
  • Support Vector Machine
  • Tutorial 6.2.1: Support Vector Machine (T6_2_1 - Google Colab)
  • K means Clustering
  • Tutorial 6.2.2: K means Clustering (T6_2_2 - Google Colab)
• Exercise 6.2.1: Machine Learning Exercise 2.1 - Support Vector Machine (E6_2_1 - Google Colab)
• Exercise 6.2.2: Machine Learning Exercise 2.2 - K means Clustering (E6_2_2 - Google Colab)
• Break
• Machine Learning Basics with Python (Part 3)
  • Natural Language Processing
  • Tutorial 6.3.1: Natural Language Processing (T6_3_1 - Google Colab)
  • Neural Nets and Deep Learning
  • Tutorial 6.3.2(a, b, c): Neural Nets and Deep Learning (T6_3_2(a,b, c) - Google Colab)
• Exercise 6.3.1: Machine Learning Exercise 3.1 - Natural Language Processingß (E6_3_1 - Google Colab)
• Exercise 6.3.2: Machine Learning Exercise 3.2 - Neural Nets and Deep Learning (E6_3_2 - Google Colab)

Closing session

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Materials: https://github.com/aiat2015/python102

Colab: http://bit.ly/2vOuCL5