JohnSchwitz
I develop Deep Convolution and Transformer Models with Transfer Learning for Finance, Health, and Technology. I have Quantitative Finance experience.
Disruptive-mpUS Remote
Pinned Repositories
BERT-model-finetune
BERT End to End (PreProcessing, Fine-tuning, and Predicting) with Cloud TPU. This is adaptable for Fine-tuning on all SQUAD tasks.
Data-Science-Course
Analyst Course for Data Scientists Course Objectives, Datasets and Links, Exercises, Projects, Resume Objectives, and Juypter Colab Notebooks. There are associated Video Recordings.
Gravitational-Wave-Inference
Bayesian Inference on Gravitational Waves using Advanced Analytics applicable to ML. The Analytics will be used for Volatility Forecasting.
JohnSchwitz
kaggle-titanic
This is my solution for the Kaggle Titanic competition.
ML-Pipeline
This is a collection of Notebooks used to Define a Pipeline for Language Processing.
Natural-Language-Processing
Work on Encoder Decoder Architecture with Attention and Beam Search
Portfolio-of-Machine-Learning-Projects
Portfolio of Machine Learning Projects
Presentations-Published-Thesis
Video Presentations, Published Papers, and Thesis which won a National Security Award. The Video for the Data Science Course is contained in the Repository below **Data-Science-Course**.
volatilityForecastingLSTM
Volatility forecasting using a LSTM Recursive Neural Network and NLP (Natural Language Processing)
JohnSchwitz's Repositories
JohnSchwitz/volatilityForecastingLSTM
Volatility forecasting using a LSTM Recursive Neural Network and NLP (Natural Language Processing)
JohnSchwitz/BERT-model-finetune
BERT End to End (PreProcessing, Fine-tuning, and Predicting) with Cloud TPU. This is adaptable for Fine-tuning on all SQUAD tasks.
JohnSchwitz/Data-Science-Course
Analyst Course for Data Scientists Course Objectives, Datasets and Links, Exercises, Projects, Resume Objectives, and Juypter Colab Notebooks. There are associated Video Recordings.
JohnSchwitz/Gravitational-Wave-Inference
Bayesian Inference on Gravitational Waves using Advanced Analytics applicable to ML. The Analytics will be used for Volatility Forecasting.
JohnSchwitz/JohnSchwitz
JohnSchwitz/kaggle-titanic
This is my solution for the Kaggle Titanic competition.
JohnSchwitz/ML-Pipeline
This is a collection of Notebooks used to Define a Pipeline for Language Processing.
JohnSchwitz/Natural-Language-Processing
Work on Encoder Decoder Architecture with Attention and Beam Search
JohnSchwitz/Portfolio-of-Machine-Learning-Projects
Portfolio of Machine Learning Projects
JohnSchwitz/Presentations-Published-Thesis
Video Presentations, Published Papers, and Thesis which won a National Security Award. The Video for the Data Science Course is contained in the Repository below **Data-Science-Course**.