Miuul Machine Learning Summer Camp'

---

Week - 1

Python Programming for Data Science - Part 1

Topics

• Working Environment Settings
• Data Structures
• Functions
• Loops
• Comprehensions

Homework

• Virtual Environment creation
• Python Exercises ( Python_Programming > exercises > week_1.py)

Week - 2

Python Programming for Data Science - Part 2

Topics

• Data Analysis with Python: Numpy
• Data Analysis with Python : Pandas
• Data Analysis with Python: Data Visualization
• Data Analysis with Python: Advanced Functional Exploratory Data Analysis

Homework and Projects

• Pandas Exercises link
• Rule-Based Classification link

Week - 3

Feature Engineering

Topics

• Outliers
• Missing Values
• Encoding Scaling
• Feature Extraction

Homework and Projects

• Diabetes Data Feature Engineering link
• Telco Customer Abandoned Feature Engineering link

Week - 4

Machine Learning

Topics

• Basic concepts
• Linear Regression (Project : Sales Prediction with Linear Regression)
• Logistic Regression
• KNN
• CART
• Advanced Tree Methods
• Unsupervised Learning
• Machine Learning Pipeline

Homework and Projects:

• Creating a Salary Forecast Model
• Creating a House Price Prediction Model
• Creating a Telco Customer Abandonment Model
• Customer Segmentation with Unsupervised Learning

to access the lecture notes => Notes folder