Pinned Repositories
caffe
Caffe: a fast open framework for deep learning.
CodingTheMatrix
Homework and tasks from the linear algebra course "coding the matrix"
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
cv-stereo-disparity-graph-cuts
Stereo disparity maps in Python using graph cuts
datasciencecoursera
Data Science Coursera repo
datasharing
The Leek group guide to data sharing
GetAndCleanData
Repo for Coursera course "Getting and Cleaning Data"
Probabilistic_Graphical_Models
Notes from the Coursera course taught by Daphne Koller on Probabilistic Graphical Models
RFinance
Stock Analysis in R Using Quantmod and Statistical Learning
well_decline_curve_analysis
Decline curve analysis for oil well production logs.
Jeffalltogether's Repositories
Jeffalltogether/well_decline_curve_analysis
Decline curve analysis for oil well production logs.
Jeffalltogether/datasciencecoursera
Data Science Coursera repo
Jeffalltogether/Probabilistic_Graphical_Models
Notes from the Coursera course taught by Daphne Koller on Probabilistic Graphical Models
Jeffalltogether/GetAndCleanData
Repo for Coursera course "Getting and Cleaning Data"
Jeffalltogether/RFinance
Stock Analysis in R Using Quantmod and Statistical Learning
Jeffalltogether/caffe
Caffe: a fast open framework for deep learning.
Jeffalltogether/CodingTheMatrix
Homework and tasks from the linear algebra course "coding the matrix"
Jeffalltogether/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Jeffalltogether/cv-stereo-disparity-graph-cuts
Stereo disparity maps in Python using graph cuts
Jeffalltogether/ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
Jeffalltogether/ExploreData
Data Science Coursera track Exploratory Data Analysis
Jeffalltogether/Figures_ToolBox
Code for generating various types of plots and figures
Jeffalltogether/gradient_descent_example
Example of gradient descent optimization in python using an automatically generated set of points in two variables.
Jeffalltogether/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Jeffalltogether/image_processing_with_pytorch
Deep learning architectures for image processing using the COCO database.
Jeffalltogether/knitr
A general-purpose tool for dynamic report generation in R
Jeffalltogether/Law_ML
Pattern recognition on text documentation gathered from court cases
Jeffalltogether/MachineLearningCoursera
Coursework for Practical Machine Learning course from Coursera
Jeffalltogether/naive_bayes
Implementation of a naive Bayes algorithm for continuous and multinomial variables.
Jeffalltogether/pi_led_array
code for displaying things on my Raspberry Pi 3b adafruit 16x32 LED array
Jeffalltogether/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
Jeffalltogether/py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
Jeffalltogether/pymaxflow
Cython wrapper for MAXFLOW library from Boykov and Kolmogorov
Jeffalltogether/R_DataProducts
Slidify, Shiny, and other graphing products available for R
Jeffalltogether/RegressionModels
Regression Models repository for the Coursera course Regression Models
Jeffalltogether/Reproducible_Research
Reproducible Research Coursera course documents and assignments
Jeffalltogether/Slides
Jeffalltogether/Spoon-Knife
This repo is for demonstration purposes only.
Jeffalltogether/stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"
Jeffalltogether/StatsInfRepo
Repository for statistical inference Coursera class