rserran
Industrial engineer, Machinery & Equipment Appraiser, Business analyst/data scientist.
Adventurous AnalyticsOrlando, FL
Pinned Repositories
bayesrules
R package for Supplemental Materials for the Bayes Rules! Book
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
datasciencectacontent
repository for Community Mentor content related to the Johns Hopkins University Data Science Specialization on Coursera
Datasets
Machine learning datasets used in tutorials on MachineLearningMastery.com
dlookr
Tools for Data Diagnosis, Exploration, Transformation
EveningOfPythonCoding
This page contains information on the Evening of Python coding held in Austin
fpp3_exercises
Foreacasting:Principles and Practice (3rd ed.)
ggstatsplot
Collection of functions to enhance ggplot2 plots with results from statistical tests.
pdf-dump
A dump of all the data science materials (mostly pdf's) that I have accumulated over the years
rserran's Repositories
rserran/vetiver
rserran/libminer
Explore Your R Libraries
rserran/fpp3_exercises
Foreacasting:Principles and Practice (3rd ed.)
rserran/mastering-shiny
Mastering Shiny: a book
rserran/talk-forecast-to-fable
rserran/survival_analysis_1
rserran/LangChain
rserran/gbm
gbm: the old gbm package
rserran/Machine-Learning-Engineering-with-Python
Machine Learning Engineering with Python
rserran/excel-data-viz-tips-in-r
2023-06-07 Excel Data Visualization Tips (in R!)
rserran/fpp3-python
Forecasting: principles and practice in python
rserran/visdat
Preliminary Exploratory Visualisation of Data
rserran/cx-analytics
rserran/missing-data-workshop
Matt Brems' Missing Data Workshop
rserran/ema
Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
rserran/homlr
Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.
rserran/DataHour
rserran/Getting-started-with-Streamlit-for-Data-Science
Getting started with Streamlit for Data Science, published by Packt
rserran/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
rserran/disk.frame
Fast disk-based parallelized data manipulation framework for larger-than-RAM data
rserran/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.
rserran/feature-selector
Feature selector is a tool for dimensionality reduction of machine learning datasets
rserran/survminer
Survival Analysis and Visualization
rserran/census-with-r-book
Source for Analyzing US Census Data: Methods, Maps, and Models in R by Kyle Walker, published with CRC Press
rserran/model_deployment
rserran/mastering_shiny_book_solutions
https://mastering-shiny-solutions.org
rserran/Interpretable-Machine-Learning-with-Python
Interpretable Machine Learning with Python, published by Packt
rserran/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
rserran/shinydash-rladies-dc
Shiny Dashboard Workshop for R-Ladies DC
rserran/data-screencasts
Code from live exploratory analyses of data in R