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/dlookr
Tools for Data Diagnosis, Exploration, Transformation
rserran/pyod
A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
rserran/blog
rserran/bookclub-ema
rserran/bookclub-fpp
rserran/bookclub-islr
Introduction to Statistical Learning Using R Book Club
rserran/bookclub-mshiny
Mastering Shiny Book Club
rserran/BookCode_Edition1
rserran/ema_ch_21
Explanatory Model Analysis Chapter 21
rserran/generative_ai_with_langchain
Build large language model (LLM) apps with Python, ChatGPT and other models. This is the companion repository for the book on generative AI with LangChain.
rserran/handson-ml3
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/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
rserran/ISLP
ISLP package: data and code for labs
rserran/lifelines
Survival analysis in Python
rserran/Machine-Learning-Engineering-with-Python-Second-Edition
rserran/Machine-Learning-for-Time-Series-with-Python
Machine Learning for Time-Series with Python.Published by Packt
rserran/medium_articles
Scripts used for articles published on Medium
rserran/MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
rserran/Modern-Time-Series-Forecasting-with-Python
Modern Time Series Forecasting with Python, published by Packt
rserran/pycaret
An open-source, low-code machine learning library in Python
rserran/qeML
rserran/resources
PyMC3 educational resources
rserran/scikit-survival
Survival analysis built on top of scikit-learn
rserran/solve-any-data-analysis-problem
Accompanying data and code for Solve Any Data Analysis Problem (Manning, 2024)
rserran/superml
Build machine learning models in R like using python's scikit-learn library
rserran/swirl_courses
:mortar_board: A collection of interactive courses for the swirl R package.
rserran/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
rserran/The-Kaggle-Book
Code Repository for The Kaggle Book, Published by Packt Publishing
rserran/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
rserran/tidy-text-mining
Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson