Yassir Elrayah, PhD's 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
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.
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
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
100-Days-Of-ML-Code
100 Days of ML Coding
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
cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Data-Science
About Exploratory Data Analysis (EDA), Prediction (Regression), Prediction (Classification), Cluster analysis (Unclassified data) and Advanced data science (Deep Learning)
Data-Science-EBooks
Data Science E-books, Interview Resources and Cheat-sheets
Data-Science-sarahfuchi
Exploratory Data Analysis (EDA), Prediction (Regression), Prediction (Classification), Cluster analysis (Unclassified data) and Advanced data science (Deep Learning)
elrayah
My personal repository
geospatial-data-science
Course materials for Geospatial Data Science (GEOG490)
Hands-On-Data-Science-for-Marketing
Hands-On Data Science for Marketing, published by Packt
ipywidgets_crash_course
IPywidgets Crash Course
lightweight_mmm
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
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.
oreilly_intermediate_sql_for_data
Resources for the O'Reilly Online Training "Intermediate SQL For Data Analysis"
Tech-Interview-Cheat-Sheet
Studying for a tech interview sucks. Here's an open source cheat sheet to help
youtube-tutorials
Collection of resources used on QuantPy YouTube channel.