Skip to content
View rickhagwal's full-sized avatar

Block or report rickhagwal

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. Sentiment_Analysis Sentiment_Analysis Public

    Sentiment Analysis with Deep Learning of Twitter Smile emotion dataset, using BERT, HuggingFace, PyTorch, to classify tweets emotions as variant smileys, and evaluated model via F-1 score metrics.

    Jupyter Notebook 2

  2. Coronavirus-Spread-Across-Globe Coronavirus-Spread-Across-Globe Public

    Data Scraping and Data Cleaning on raw data taken from web sources such as- Twitter, News websites like-CNN, NBC, CNBC and John hopkins university, and data storytelling on Tableau platform.

    Jupyter Notebook

  3. Image-Recognition-using-Deep-Learning Image-Recognition-using-Deep-Learning Public

    Built Deep Learning Neural Network-, i.) Using custom image recognition model, and ii.) Using pre-trained Neural Network i.e., ImageNet

  4. Finding-Donors-for-CharityML Finding-Donors-for-CharityML Public

    Trained ensemble Machine Learning model with ROC-AUC metrics accuracy of 93.25% , uisng Bagging and Gradient Boosting techniques

    Jupyter Notebook

  5. Deep-Learning-with-Neural-Networks Deep-Learning-with-Neural-Networks Public

    1 2