Skip to content
View onacaioana's full-sized avatar

Block or report onacaioana

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. Deep-Neural-Network---Image-classification Deep-Neural-Network---Image-classification Public

    Using Deep Neural Network, L -layers NN create an application for a cat/not-a-cat classifier

    Jupyter Notebook

  2. statistic statistic Public

    JavaScript

  3. Binary-Classification-of-Insurance-Cross-Selling Binary-Classification-of-Insurance-Cross-Selling Public

    The challenge is to predict which customers respond positively to an automobile insurance offer.

    Jupyter Notebook

  4. Titanic-Machine-Learning-from-Disaster Titanic-Machine-Learning-from-Disaster Public

    In this challenge, we'll build a predictive model that answers the question: “what sorts of people were more likely to survive to the Titanic tragedy?” using passenger data (name, age, gender, soci…

    Jupyter Notebook

  5. appStory appStory Public

    JavaScript 2 1

  6. Tv-display Tv-display Public

    JavaScript