rserran
Industrial engineer, Machinery & Equipment Appraiser, Business analyst/data scientist.
Adventurous AnalyticsOrlando, FL
rserran's Stars
WillKoehrsen/Data-Analysis
Data Science Using Python
brinkar/real-world-machine-learning
Code accompanying the Real-World Machine Learning book
dataman-git/codes_for_articles
prashant9501/DataHour
thushv89/packt_nlp_tensorflow_2
This will contain the code for the 2nd edition of NLP with TensorFlow (Edition 2)
business-science/correlationfunnel
Speed Up Exploratory Data Analysis (EDA)
feifeiwww/20220726_Databricks_Demo_Transfer_Learning_with_MLflow
We will go hands-on with an image classification demo using transfer learning, while leveraging MLflow to track our model experiments on Databricks
IndrajeetPatil/ggstatsplot
Enhancing {ggplot2} plots with statistical analysis 📊📣
amices/Winnipeg
Handling Missing Data in R with MICE
sktime/sktime
A unified framework for machine learning with time series
AnttiRask/learning_machine_learning
I'm learning ML with R. Focusing on (but not limiting myself to) tidyverse and tidymodels.
rserran/NBprocessing
Pre-processing database using pre-written functions
jbrownlee/Datasets
Machine learning datasets used in tutorials on MachineLearningMastery.com
rserran/Datasets
Machine learning datasets used in tutorials on MachineLearningMastery.com
rserran/handy_data_viz_functions
Jupyter notebook of (python/Pandas) code snippets for handy matplotlib and Seaborn plotting functions to speed up EDA
yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
rserran/pyod
A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
r4ds/bookclub-py4da
rfordatascience/tidytuesday
Official repo for the #tidytuesday project
andrew-couch/Tidy-Tuesday
Tidy Tuesday Projects
rserran/dlookr
Tools for Data Diagnosis, Exploration, Transformation
mikekeith52/scalecast-examples
Examples of the application of individual scalecast models
AllenDowney/ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
abhishekkrthakur/approachingalmost
Approaching (Almost) Any Machine Learning Problem
jidhu-mohan/DCNN-timeseries-RUL
DCNN for Machine RUL Prediction using Time-series Data
amalphonse/WWCodeDEWorkshop
This repo contains all code and data for WWCode Python DE workshop Aug 18 and 25 2022
andymcdgeo/Petrophysics-Python-Series
A series of Jupyter notebooks showing how to load well log and petrophysical data in python.
BlakeRMills/MetBrewer
Color palette package in R inspired by works at the Metropolitan Museum of Art in New York
juliasilge/mlops-rstudio-meetup
RStudio Enterprise Meetup on MLOps with vetiver 🏺 in Python and R
MaxHalford/prince
:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA