Month 22: Predictive Analytics using Python
Week 1: Introduction to Predictive Analytics with Python
- Day 1: Understanding Predictive Analytics
- Day 2: Setting Up the Python Environment for Predictive Analytics
- Day 3: Data Preprocessing for Predictive Analytics
- Day 4: Exploratory Data Analysis for Predictive Analytics
- Day 5: Feature Engineering for Predictive Analytics
Week 2: Regression Techniques for Predictive Analytics
- Day 1: Simple Linear Regression with Python
- Day 2: Multiple Linear Regression with Python
- Day 3: Polynomial Regression with Python
- Day 4: Ridge and Lasso Regression with Python
- Day 5: Evaluating Regression Models
Week 3: Classification Techniques for Predictive Analytics
- Day 1: Logistic Regression with Python
- Day 2: Decision Trees and Random Forests with Python
- Day 3: Support Vector Machines (SVM) with Python
- Day 4: Naive Bayes Classifier with Python
- Day 5: Evaluating Classification Models
Week 4: Time Series Analysis for Predictive Analytics
- Day 1: Understanding Time Series Data
- Day 2: ARIMA Models for Time Series Forecasting
- Day 3: Handling Seasonality with SARIMA
- Day 4: Advanced Time Series Models: VAR, State Space Models
- Day 5: Evaluating Time Series Models
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