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haydenkerr
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Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
A library for training and deploying machine learning models on Amazon SageMaker
Databricks framework to validate Data Quality of pySpark DataFrames
A list of goodies for your Supernote tablet. Sharing awesome tips and tricks.
python wrapper for unofficial supernote cloud api
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
🎓 A collection of interactive courses for the swirl R package.
Exploratory Data Analysis (EDA), Prediction (Regression), Prediction (Classification), Cluster analysis (Unclassified data) and Advanced data science (Deep Learning)
A Repository consisting of various visualisation libraries and tools
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Extension package of linear regression diagonostic plots in ggplot2.
Notebooks from the Machine Learning Specialization
This is all my notebooks, lab solutions, and assignments for the DeepLearning.AI Natural Language Processing Specialization on Coursera.
Notebooks and notes from going through Deeplearning.AI's linear algebra course
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
A Streamlit application that extracts text from a PDF file and answers questions based on the extracted text.
Example Streamlit app that you can fork to test out share.streamlit.io
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
Code repository for O'Reilly book
Credit risk analysis for credit card applicants
Python script that scrapes the currently trending YouTube videos in a variety of countries
ggplot2: elegant graphics for data analysis
Streamlit Dashboard Descriptive Analytics with MYSQL
Chatbot with dynamic access to Hormozi, Buffett and Branson knowledge bases + ChatGPT API fallback for unrelated Qs