Machine Learning Bootcamp
Machine Learning Bootcamp
A 6-session bootcamp designed to provide participants with a solid foundation in Machine Learning, from core concepts to practical implementation. Throughout the bootcamp, members will explore data preprocessing, exploratory data analysis, supervised learning algorithms, model evaluation, and performance optimization. Through hands-on exercises and real-world datasets, participants developed the skills needed to build, train, and evaluate machine learning models while gaining insight into the complete machine learning workflow.
Session 1 (8 June): Introduction to AI
Session 2(10 June): Exploratory Data Analysis
Session 3(17 June): Introduction to Regression
Session 4(18 June): Classification
Session 5(1 July): Introduction to Computer Vision
Session 6(2 July): NLP & Time Series
Date and Time
Location
Hosts
Registration
Speakers
Imen Masmoudi
Topic:
Machine Learning
Biography:
- Industrial Engineering Engineer, ENIT
- Teaching & Research Assistant, UQAT
- MLAct Community Co-Founder & Co-Lead
- Women Techmakers Ambassador
Email:
Address:Canada
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