Pinned Repositories
ds-classification_workflow_demo-pdu32
dsc-phase-3-choosing-a-dataset
dsc-python-essentials-lab
dsc-python-loops-and-functions-lab
DSLE-0830-Pipelines-ClassificationEvaluation
Flu_Vaccination_ML
The aim of this study is to predict how likely individuals are to receive their H1N1 flu vaccine. We believe the prediction outputs (model and analysis) of this study will give public health professionals and policy makers, as an end user, a clear understanding of factors associated with low vaccination rates. This in turn, enables end users to systematically act on those features hindering people to get vaccinated.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
SkinCancerImageClassification
The aim of this project is to use Convolutional Neural Networks (CNNs) to distinguish dermoscopic images of malignant skin lesions from benign lesions.
Housing_Analysis
Analyzed important features and predicted house prices for homes in King County, WA
time_series_project
emykes's Repositories
emykes/Flu_Vaccination_ML
The aim of this study is to predict how likely individuals are to receive their H1N1 flu vaccine. We believe the prediction outputs (model and analysis) of this study will give public health professionals and policy makers, as an end user, a clear understanding of factors associated with low vaccination rates. This in turn, enables end users to systematically act on those features hindering people to get vaccinated.
emykes/SkinCancerImageClassification
The aim of this project is to use Convolutional Neural Networks (CNNs) to distinguish dermoscopic images of malignant skin lesions from benign lesions.
emykes/DSLE-0830-Pipelines-ClassificationEvaluation
emykes/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
emykes/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
emykes/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
emykes/claimed
emykes/data-engineering-zoomcamp
Free Data Engineering course!
emykes/ds-lesson-hub
Central hub of my personal resources to teach Flatiron School's Online Data Science Curriculum V2.1
emykes/DS-Live-083021-Streamlit-Practice
emykes/dsc-file-io
emykes/dsc-model-fit-linear-regression-lab
emykes/dsc-postgrad_Project-Repository
emykes/dsc-visualizing-confusion-matrices-lab
emykes/dsc-working-with-known-json-schemas
emykes/dsc-xgboost-lab
emykes/DSLE-083021-Phase-5-Warm-Ups
emykes/emykes
emykes/Energy_Consumption_Prediction
emykes/imagen-pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
emykes/markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
emykes/mlbookcamp-code
The code from the Machine Learning Bookcamp book and a free course based on the book
emykes/natural-language-processing
Resources for "Natural Language Processing" Coursera course.
emykes/public-api-lists
A collective list of free APIs for use in software and web development 🚀 (Clone of https://github.com/public-apis/public-apis)
emykes/Python
All Algorithms implemented in Python
emykes/Recommendation_Systems_Workshop_Flatiron
emykes/tech-interview-handbook
💯 Curated interview preparation materials for busy engineers
emykes/tech_interview_resources
emykes/time_series_project
emykes/WIDS-Google
Documents and information for WIDS@Google 2022 Datathon