Python for Deep Learning
Learning Objectives
By the end of this training, you will be able to: - Master the basics of Python for data - Manipulate, filter and transform datasets with pandas - Visualize data with matplotlib and seaborn - Prepare data for analysis and machine learning - Train and evaluate a simple model with scikit-learn - Automate analyses and structure your code cleanly - Work efficiently in a Jupyter Notebook environment - Perform a mini data analysis or ML model prototype
Instructor
Alexandre Hotton
Lead Data Scientist
Lead Data Scientist and co-founder of Synaptiks.ai, Alexandre spans the entire ML pipeline from research to production. Backed by a Master's in Computer Science with a focus on Machine Learning, he translates cutting-edge discoveries into high-impact business use cases. Renowned for simplifying complex ideas, he has already coached finance and healthcare teams through hands-on, interactive AI programmes.
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