Credit: The Design TeamDepending on who you ask, Imposter Syndrome can have several meanings.Maria Klawe, the President of Harvey Mudd College defined it as,The frequent feeling of not deserving one’s success and of being a failure despite a sustained record of achievements.Indeed, no matter your knowledge or expertise, Imposter Syndrome can…See More

How oversampling yielded great results for classifying cases of Sexual Harassment.The problem: Overcoming an imbalanced data setWhen it comes to data science, sexual harassment is an imbalanced data problem, meaning there are few (known) instances of harassment in the entire dataset.An imbalanced problem is defined as a dataset which has disproportional class counts. Oversampling is one way to combat this by creating synthetic minority samples.  The power of oversamplingSMOTE — Synthetic…See More

                                                Credit: The Design TeamDepending on who you ask, Imposter Syndrome can have several meanings.Maria Klawe, the President of Harvey Mudd College defined it as,The frequent feeling of not deserving one’s success and of being a failure despite a sustained record of achievements.Indeed, no matter your knowledge or expertise, Imposter Syndrome can…See More