fjehlik
Principal Engineer, enjoys coding Python and AI/ML to answer big questions. Off hours spent racing junkyard cars & playing with my rascal dog.
Ventech SolutionsChapel Hill, NC
Pinned Repositories
aws-sagemaker-deployment
Integrates AWS Sagemaker, with Lambda and API to assess positive or negative movie reviews.
bitcoin_RL
Boston-Housing
Udacity Machine Learning nanodegree program project: In this project, you will evaluate the performance and predictive power of a model that has been trained and tested on data collected from homes in suburbs of Boston, Massachusetts. A model trained on this data that is seen as a good fit could then be used to make certain predictions about a home — in particular, its monetary value.
Citywide_bikeshare_analysis
GitHub project (Project 3) repository for PDSND
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020
Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.
dlnd_tv_script_generation
Generate Seinfeld TV script using PyTorch LSTM
pycaret_diabetes_classifier
The following is an example of using PyCaret to automatically solve develop ML models for a classification problem.
SQL_DVD_database_investigation
The following code and presentation is a sample of investigating a DVD rental business database to determine trends from the dataset.
UCI_heart_disease_predictor
The following uses a randomforest/XGBoost approaches to predict heart disease from a number of features. These data are available on Kaggle (see ReadMe).
fjehlik's Repositories
fjehlik/aws-sagemaker-deployment
Integrates AWS Sagemaker, with Lambda and API to assess positive or negative movie reviews.
fjehlik/bitcoin_RL
fjehlik/Boston-Housing
Udacity Machine Learning nanodegree program project: In this project, you will evaluate the performance and predictive power of a model that has been trained and tested on data collected from homes in suburbs of Boston, Massachusetts. A model trained on this data that is seen as a good fit could then be used to make certain predictions about a home — in particular, its monetary value.
fjehlik/Citywide_bikeshare_analysis
GitHub project (Project 3) repository for PDSND
fjehlik/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
fjehlik/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020
Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.
fjehlik/dlnd_tv_script_generation
Generate Seinfeld TV script using PyTorch LSTM
fjehlik/pycaret_diabetes_classifier
The following is an example of using PyCaret to automatically solve develop ML models for a classification problem.
fjehlik/SQL_DVD_database_investigation
The following code and presentation is a sample of investigating a DVD rental business database to determine trends from the dataset.
fjehlik/UCI_heart_disease_predictor
The following uses a randomforest/XGBoost approaches to predict heart disease from a number of features. These data are available on Kaggle (see ReadMe).
fjehlik/Dermatologist
fjehlik/ml-class
Stanford Machine learning class excercises
fjehlik/Octave
my octave exercises for 2011 stanford machine learning class, posted after the due date of course
fjehlik/project-face-generation
fjehlik/pycaret_classification_diabetes
The following code is an example of ML model auto development using PyCaret.