Pytorch implementation of λOpt: Learn to Regularize Recommender Models in Finer Levels, KDD 2019

This is Collection of Regularization Deep learning techniques with code and paper

This repo contains the experimentation of the most important deep learning techniques related to Regularization, Optimization and HPO while using LeNet CNN architecture as the playground.

An effective way to avoid (or at least to reduce) overfitt

This is an expansion of dsb318-group4 (see repo: dsb318-group4), in which we collaborated to predict high school graduation rates in CA from other trends (e.g., poverty rate, availability of e-cigarettes). Collaboration between Eli and Emily.

Deep Learning project about the design and training of a model for Image Classification

Machine Learning End-to-End (Linear Regression) model project on MS Application Prediction

This is a classification model implementation using Random Forest and Logistic Regression in Python and Spark. Originally implemented via AWS EMR Clusters.

Salary Prediction Classification:

An online course on ML taught by Andrew Ng. Introduces algorithms from scratch including regression models, classification, Neural Networks, SVMs, K-Means clustering, and applications such as Photo OCR.