This workshop focuses on the implementation of machine learning algorithms
using libraries such as scikit-learn. Students will tackle real world
issues and apply machine learning concepts in order to solve them.
This workshop will give students an idea on how to identify which algorithm fits
a given dataset, compare various models based on their error rate,
and gain practical experience on different phases of machine learning,
right from data cleaning to predictions.
What will you learn while developing a project using Machine Learning ?
The goto project to get started with Machine learning. In this project, predict which passengers survived the tragedy.
Breast cancer affects about 10% of all women at some stages of their life. Data show that the survival rate is 88% after five years from diagnosis and 80% after 10 years from diagnosis. With Machine Learning, it is possible to predict breast cancer recurrence.
We expect students to have a good understanding of python and basic machine learning concepts such as classification and regression. We also conduct workshops exclusively for these concepts.