Pinned Repositories
A-B-Testing-and-Beyond
Information and content associated with "A/B Testing and Beyond", a continuing eduction certificate offered by the University of San Francisco's Data Institute.
awesome-bigdata
A curated list of awesome big data frameworks, ressources and other awesomeness.
Breast-Cancer-Detection
Breast Cancer Detection classifier built from the The Breast Cancer Histopathological Image Classification (BreakHis) dataset composed of 7,909 microscopic images of breast tumor tissue collected from 82 patients using different magnifying factors (40X, 100X, 200X, and 400X). To date, it contains 2,480 benign and 5,429 malignant samples (700X460 pixels, 3-channel RGB, 8-bit depth in each channel, PNG format). This database has been built in collaboration with the P&D Laboratory - Pathological Anatomy and Cytopathology, Parana, Brazil.
building-machine-learning-pipelines
Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson
cs228-material
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
Data-Science
Data Science Study Notes + Projects
Deep-Learning
Residual Attention Network for Image Classification
NYC-Taxi-FHV-Project
Solve real-world Taxi travel time problem in NYC
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
PyTorchNLPBook
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
Jay4869's Repositories
Jay4869/Data-Science
Data Science Study Notes + Projects
Jay4869/Deep-Learning
Residual Attention Network for Image Classification
Jay4869/A-B-Testing-and-Beyond
Information and content associated with "A/B Testing and Beyond", a continuing eduction certificate offered by the University of San Francisco's Data Institute.
Jay4869/NYC-Taxi-FHV-Project
Solve real-world Taxi travel time problem in NYC
Jay4869/awesome-bigdata
A curated list of awesome big data frameworks, ressources and other awesomeness.
Jay4869/Breast-Cancer-Detection
Breast Cancer Detection classifier built from the The Breast Cancer Histopathological Image Classification (BreakHis) dataset composed of 7,909 microscopic images of breast tumor tissue collected from 82 patients using different magnifying factors (40X, 100X, 200X, and 400X). To date, it contains 2,480 benign and 5,429 malignant samples (700X460 pixels, 3-channel RGB, 8-bit depth in each channel, PNG format). This database has been built in collaboration with the P&D Laboratory - Pathological Anatomy and Cytopathology, Parana, Brazil.
Jay4869/building-machine-learning-pipelines
Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson
Jay4869/cs228-material
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
Jay4869/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
Jay4869/PyTorchNLPBook
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
Jay4869/data-science-from-scratch
code for Data Science From Scratch book
Jay4869/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
Jay4869/EngineeringMLOps
Engineering MLOps, published by Packt
Jay4869/forecasting
Time Series Forecasting Best Practices & Examples
Jay4869/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.
Jay4869/Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Jay4869/project-iota
Jay4869/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Jay4869/spring19
Community Contribution projects for GR5293 Statistical Graphics
Jay4869/STAT-154
UC Berkeley STAT-154 Statistical Machine Learning
Jay4869/stat453-deep-learning-ss20
STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
Jay4869/Supervised-Machine-Learning
The Repository includes all the popular Machine Learning Algorithms Implemented using Sklearn and supported with Proper documentation, explanations, and diagrams
Jay4869/TextBlob
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
Jay4869/Time-Series