From Data to Insights in Minutes: Accelerating Predictive Modelling (in Python) with AutoML

Have you ever wondered how Machine Learning could automate your tasks but hesitated due to time constraints or a lack of specialized coding skills? If so, this session is for you!

Traditionally, building predictive models required specialized coding abilities and a deep understanding of statistical concepts. However, AutoML simplifies this process and can automatically create machine learning models from your data. This session will empower you to use a simple, open-source AutoML tool to quickly create Python-based machine learning prototypes (using the pandas, NumPy, and scikit-learn frameworks) without writing any code. A live demonstration will show how AutoML seamlessly (i) processes input data, (ii) selects and trains the best algorithms for your specific use case, (iii) generates reproducible Python code for easy integration, and most importantly, (iv) how to interpret the results.

Discover how AutoML can turn your transform your data into actionable insights!