Advanced Regression & Time Series

Move beyond basic models to tackle complex regression and time-series forecasting. This course is for students who want to master techniques that win Kaggle competitions.

Level

Intermediate

For

Grades 8-12

Duration

3 or 5 Days

What You Will Master

Advanced Regression Models

Master powerful algorithms like XGBoost, LightGBM, and CatBoost.

Time Series Analysis

Learn to handle temporal data using techniques like ARIMA, SARIMA, and Prophet.

Feature Engineering for Time

Create features from timestamps, including lags, rolling means, and seasonal indicators.

Hyperparameter Tuning

Systematically optimize your models for the best possible performance using techniques like Grid Search and Bayesian Optimization.

The Capstone Project

Ames House Price & Retail Sales Forecasting

A dual-part capstone. First, predict house prices with high accuracy using advanced regression on the Ames Housing dataset. Second, forecast future retail sales using time-series models, a classic and highly valuable business problem that is common in data science interviews.

Key Transformation

Build sophisticated models to predict continuous values and forecast future trends, gaining a deep understanding of advanced regression techniques used by Kaggle masters.

Course Syllabus

1
Session 1: The Power of Gradient Boosting

Dive deep into the theory and practice of gradient boosted trees, the dominant force in competitive machine learning, and implement your first XGBoost model. Understand concepts like learning rate and regularization.

2
Session 2: Mastering Time Series Data

Understand the unique challenges of temporal data, including stationarity, autocorrelation, and seasonality. Decompose a time series into its core components using statistical methods.

3
Session 3: Building and Evaluating Forecasts

Implement and compare various forecasting models from simple moving averages to Facebook's Prophet, learning to evaluate them with appropriate metrics like MAE and RMSE and visualizing the results.

4
Session 4: Kaggle Competition Simulation

Structure your project, tune your models, and create a submission file in a simulated competitive environment, learning how to iterate quickly to improve your leaderboard score and avoid common pitfalls.

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Build Your Advantage

Our project-based workshops are designed to give you a tangible, verifiable edge. Enroll now to secure your spot and start building your future.