Python Programming for Data Science - Part 1
- Working Environment Settings
- Data Structures
- Functions
- Loops
- Comprehensions
- Virtual Environment creation
- Python Exercises ( Python_Programming > exercises > week_1.py)
Python Programming for Data Science - Part 2
- 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
Feature Engineering
- Outliers
- Missing Values
- Encoding Scaling
- Feature Extraction
Machine Learning
- Basic concepts
- Linear Regression (Project : Sales Prediction with Linear Regression)
- Logistic Regression
- KNN
- CART
- Advanced Tree Methods
- Unsupervised Learning
- Machine Learning Pipeline
- 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