Pinned

1. Deep_Learning_CNNs_and_RNNs Deep_Learning_CNNs_and_RNNs Public

   Describes how to apply RNNs, one and two dimensional CNNs, and pre-trained model that can be applied to the problem at hand.

   Jupyter Notebook 1

2. Deep_Learning_SMOTE_and_AutoEncoder Deep_Learning_SMOTE_and_AutoEncoder Public

   mainly using tensorflow as model structure, including hyperparameter tuning, Autoencoders, SMOTE, 1D 2D Convolutional NN so on and so forth

   Jupyter Notebook 2

3. Machine_Learning_unsupervised_FA Machine_Learning_unsupervised_FA Public

   Aims to provide a detailed analysis of the customer personality data set by applying unsupervised learning with Factor Analysis

   R 1 1

4. dms-smm695 dms-smm695 Public

   Forked from mattDevigili/dms-smm695

   Teaching material for a B-school, post-grad module on Data Management Systems

   SQL

5. Machine_Learning_Methodology Machine_Learning_Methodology Public

   Methods practicing including Decision Tree & Random Forest, SVM classification, kNN & LDA, and a user-defined function to provide the training indexes for K-fold cross-validation

   R 2

6. network_analytics-flights_in_Brazil network_analytics-flights_in_Brazil Public

   Mainly using networkx to display the Network Flights in Brazil Before, At, and After Covid Pandemic

   Jupyter Notebook 2