Skip to content
View twebb96's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report twebb96

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. US-Airline-Twitter-Sentiment-Analysis US-Airline-Twitter-Sentiment-Analysis Public

    Objective: Train a model that will analyze text from a collection of tweets about US Airlines from February 2015, and by identifying negative sentiments, draw business insights regarding the reason…

    Jupyter Notebook

  2. Plant-Seedling-Image-Classification Plant-Seedling-Image-Classification Public

    Objective: Build a CNN classifier that will be able to accurately predict the species of plant seedling based on an image of that seedling taken from the top.

    Jupyter Notebook

  3. Bank-Churn-Prediction Bank-Churn-Prediction Public

    Objective: Build a neural network-based classifier that will predict the likelihood of 6-month customer retention based on history of customer data.

    Jupyter Notebook

  4. Concrete-Compressive-Strength-Prediction Concrete-Compressive-Strength-Prediction Public

    Objective: In order to select the best-performing model, build and compare a variety of regression models to predict the compressive strength of concrete based on a raw data set regarding materials…

    Jupyter Notebook

  5. Credit-Card-Customer-Analysis Credit-Card-Customer-Analysis Public

    Objective: Identify trends of customer behavior and provide business insights supported by trends in the customer data.

    Jupyter Notebook

  6. Term-Deposit-Predicitve-Analysis Term-Deposit-Predicitve-Analysis Public

    Objective: Using a bank’s customer data, build and train several machine learning models to predict the probability of a customer to subscribe to a term deposit. Use K-fold cross validation to asse…

    Jupyter Notebook