Camille Van Hoffelen
Next training: September 20 – November 12
Join an 8-week part-time training to practice and gain strong foundations in data science and machine learning.
Coding and math may seem intimidating at first, this live training will help you to become a key player in your Data Science team.
Part-time course compatible with your full-time job.
You will learn how to tame all types of data and reveal their secrets with Python 🐍
The nitty-gritty of data analysis: this chapter teaches you how to load, clean, and manipulate basic datasets in python.
Beyond tables: learn how to extract and communicate key insights from time-series, text, and image datasets.
Analytical power-up: this chapter adds clustering, dimensionality reduction, and anomaly detection to your data analysis techniques.
Moving past data summaries: this chapter introduces predictive models to solve fundamental machine learning tasks.
Taming the beast: this chapter shows how build accurate and effective machine learning models.
Expanding your model vocabulary: this chapter goes through Naive Bayes, Decision Trees, and Support Vector Machines (SVMs), and boosts them with ensemble methods.
Week 7 & 8
This chapter tests your skills on a public dataset by completing an exploratory data analysis report, and training at least one Machine Learning model.
Camille has worked as a Machine Learning Engineer for the last 7 years (Seal, DocuSign...), with a focus on large scale Natural Language Processing systems.
Camille graduated with an MSci in Physics from Imperial College London, before catching the data science bug and diving into legal AI with Seal Software, later acquired by Docusign.
He was a lecturer in Machine Learning at Ilia State University, and remains an avid presenter at meetups and hackathons around Europe.
Camille is currently the CTO & Co-founder of Watergenics, where he strives to build a sustainable future for our blue Planet by augmenting water quality sensors with AI.
September 20 – November 12
What's included in the live course:
Drop us a line
We'd be happy to answer your questions, and check together if the program is a good fit for you.
Alumni, students & teachers are the heartbeat of the Jungle Program community.
Graduates are data scientists, machine learning engineers, full-stack developers and CTO of startups.