Pinned Loading

1. Anomaly-Detection-Using-ML Anomaly-Detection-Using-ML Public

   Anomaly Detection is a binary classification problem that can be tackled by using: XGBoost, Logistic Regression, Decision Trees, Random Forests, K-NN, etc.

   Jupyter Notebook 1

2. Weighted-K-Means-Optimize-U.S.-Distribution Weighted-K-Means-Optimize-U.S.-Distribution Public

   Using K-means ML algorithm to optimize distribution centers within the United States. Model was moved into production using python and R. UI available at: https://wilmer-tejada.shinyapps.io/Kmeans_…

   Jupyter Notebook 1

3. Flask-Resume Flask-Resume Public

   My own portfolio website built with Python Flask. It houses a few of the projects that I have worked on, mainly those that deal with visualization.

   Python 1

4. selenium-scraping-with-twitter-and-reddit selenium-scraping-with-twitter-and-reddit Public

   Python