Machine Learning

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1) Python Programming for Data Science - Part 1

- Topics

✅ Working Environment Settings

✅ Data Structures

✅ Functions

✅ Loops

✅ Comprehensions

- Exercises

✅ Virtual Environment creation

✅ Python Exercises

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

- Projects

✅ Pandas Exercises

✅ Rule-Based Classification

3) Feature Engineering

- Topics

✅ Outliers

✅ Missing Values

✅ Encoding Scaling

• Feature Extraction

- Projects

• Diabetes Data Feature Engineering

• Telco Customer Abandoned Feature Engineering

4) Machine Learning

- Topics

• Basic concepts

• Linear Regression

• Logistic Regression

• Project : Sales Prediction with Linear Regression

• KNN

• CART

• Advanced Tree Methods

• Unsupervised Learning

• Machine Learning Pipeline

- Projects:

• Creating a Salary Forecast Model

• Creating a House Price Prediction Model

• Creating a Telco Customer Abandonment Model

• Customer Segmentation with Unsupervised Learning