Yassir Elrayah, PhD's Projects
100 Days of ML Coding
A/B Testing βΒ A complete guide to statistical testing
This repo is for the Linkedin Learning course: Advanced Python: Language Features
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference and more
This is the site for the book βAI Search Algorithms for Smart Mobilityβ: https://smartmobilityalgorithms.github.io/book/index.html
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
CUDA-accelerated GIS and spatiotemporal algorithms
About Exploratory Data Analysis (EDA), Prediction (Regression), Prediction (Classification), Cluster analysis (Unclassified data) and Advanced data science (Deep Learning)
Data Science E-books, Interview Resources and Cheat-sheets
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.
Regularly Updated | Collection of the best Data Science Material from the Web | Covering Everything from Books, Courses along with Material, Research Papers, and Interview Prep to Cheatsheet as well.
Exploratory Data Analysis (EDA), Prediction (Regression), Prediction (Classification), Cluster analysis (Unclassified data) and Advanced data science (Deep Learning)
My personal repository
A curated List of Coding Questions Asked in FAANG Interviews
Course materials for Geospatial Data Science (GEOG490)
A curated list of resources focused on Machine Learning in Geospatial Data Science.
Course materials for: Geospatial Data Science
Hands-On Data Science for Marketing, published by Packt
π€ Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
IPywidgets Crash Course
LightweightMMM π¦ is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
A resource for learning about Machine learning & Deep Learning
machine learning and deep learning tutorials, articles and other resources
Machine Learning Using TensorFlow Cookbook, published by Packt
Python code for common Machine Learning Algorithms