8000 tim5633 (Tim Liu) · GitHub
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Achievement: Pull Shark

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Achievement: Pull Shark

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@crypto-arbitrage-strategy @Bayes-NFT-Research @BoE-ARP-Bayes-MSc-BA @AML-final-course-project

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tim5633/README.md

Hi there 👋, I'm Tim 👨‍💻

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  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

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