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SpaceFrostDev/README.md

I'm SpaceFrostDev

A deep learning practitioner passionate about applying state of the art computer vision research to practical problems.

  • I'm currently working on my deep learning toolkit to expedite future computer vision research
  • I'm currently learning smart contract development in Solidity as part of a Financial Technology Certificate

Languages

python git bash cplusplus sqlite

Libraries

pytorch pandas scikit_learn arduino matlab

Kaggle Competitions

I participate in Kaggle Datascience Competitions in my free time.

  • I achieved 91.30% accuracy when predicting customer churn for Telco, surpassing all other visible results.
  • I achieved 83.33% prediction accuracy on the heavily imbalanced passanger survival Titanic dataset.
  • My MNIST Digits models are currently in progress 😃 Reimplementing LeCunn et. al's convolutional kernel

Pinned Loading

  1. BlockRoulette BlockRoulette Public

    This is a game of Roulette simulated on an Ethereum testnet.

    Solidity

  2. mnist-digits mnist-digits Public

    Documenting my journey to solve the MNIST Digits Computer Vision dataset, implementing a Convolutional Neural Network from scratch.

    Jupyter Notebook

  3. Module_13 Module_13 Public

    Jupyter Notebook

  4. telco_kaggle telco_kaggle Public

    Building a tabular binary classification neural network to predict Telco's Customer Churn from their publicly available dataset on Kaggle.

    Jupyter Notebook 1

  5. titanic_kaggle titanic_kaggle Public

    Predicting passenger survival aboard the titanic in Kaggle's Titanic Dataset Competition.

    Jupyter Notebook