elrayah
Data Scientist | Machine Learning Engineer | Geospatial Analyst | Researcher "Technology is best when it brings people together", Matt Mullenweg
Canton, MI
Pinned Repositories
AB-Testing
A/B Testing — A complete guide to statistical testing
advanced-python-language-features-4311093
This repo is for the Linkedin Learning course: Advanced Python: Language Features
book
This is the site for the book “AI Search Algorithms for Smart Mobility”: https://smartmobilityalgorithms.github.io/book/index.html
courses
Anthropic's educational courses
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.
geospatialdatascience
Course materials for: Geospatial Data Science
Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
Machine-Learning-Using-TensorFlow-Cookbook
Machine Learning Using TensorFlow Cookbook, published by Packt
Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
elrayah's Repositories
elrayah/AB-Testing
A/B Testing — A complete guide to statistical testing
elrayah/advanced-python-language-features-4311093
This repo is for the Linkedin Learning course: Advanced Python: Language Features
elrayah/book
This is the site for the book “AI Search Algorithms for Smart Mobility”: https://smartmobilityalgorithms.github.io/book/index.html
elrayah/courses
Anthropic's educational courses
elrayah/siMMMulator
siMMMulator is an open source R-package that helps users to generate simulated data to plug into Marketing Mix Models (MMMs). The package features a variety of functions to help users build a data set from scratch.
elrayah/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.
elrayah/geospatialdatascience
Course materials for: Geospatial Data Science
elrayah/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
elrayah/Machine-Learning-Using-TensorFlow-Cookbook
Machine Learning Using TensorFlow Cookbook, published by Packt
elrayah/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
elrayah/100-Days-Of-ML-Code
100 Days of ML Coding
elrayah/100-DaysOf-Code-dataScience
elrayah/ARIMA-And-Seasonal-ARIMA
elrayah/awesome-marketing-machine-learning
A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference and more
elrayah/cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
elrayah/Data-Science
About Exploratory Data Analysis (EDA), Prediction (Regression), Prediction (Classification), Cluster analysis (Unclassified data) and Advanced data science (Deep Learning)
elrayah/Data-Science-EBooks
Data Science E-books, Interview Resources and Cheat-sheets
elrayah/Data-Science-sarahfuchi
Exploratory Data Analysis (EDA), Prediction (Regression), Prediction (Classification), Cluster analysis (Unclassified data) and Advanced data science (Deep Learning)
elrayah/elrayah
My personal repository
elrayah/geospatial-data-science
Course materials for Geospatial Data Science (GEOG490)
elrayah/Hands-On-Data-Science-for-Marketing
Hands-On Data Science for Marketing, published by Packt
elrayah/Interview-Prepartion-Data-Science
elrayah/ipywidgets_crash_course
IPywidgets Crash Course
elrayah/lightweight_mmm
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
elrayah/ml-with-apache-spark
A series of Jupyter notebooks that walk you through Machine Learning with Apache Spark ecosystem using Spark MLlib, PyTorch and TensorFlow.
elrayah/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
elrayah/pymc-marketing
Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
elrayah/Python-for-Computer-Vision-OpenCV-Deep-Learning
elrayah/The-Grand-Complete-Data-Science-Materials
elrayah/youtube-tutorials
Collection of resources used on QuantPy YouTube channel.