Evan Marie's Notebook:

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Welcome to my library! I take incredibly detailed notes when I work, and perhaps they can be useful to others. Here you can find in-depth lecture and course notes as well as code from various classes that have been incredibly useful in my dive into data science, machine learning, deep learning, Python, and more. I hope these resources can be useful for you as they are for me!

Evan Marie online:

Note: These documents are very long, so be sure to utilize the tables of contents in each one whenever available to find the different sections within them. I take very detailed notes and try to incorporate as many visualizations as possible. So it can make for some very lengthy PDFs and Jupyter notebooks. Enjoy!

Evan's Custom Jupyter Helper Functions: Jupyter | HTML

NumPy Essentials Part 2, Section 2 (linear algebra capabilities, html)

Advanced Projects: Data Science with Pandas

Pandas Crash Course

Movies Dataset

Movies Dataset Project

JSON, Web APIs, and Data Cleaning

JSON and Web API Project

SQL with Pandas

SQL and Pandas Project

Merging, Concatenating, and Baby Names Exploration

Names and What They Say About Us (project)

CA House Prices - Random Forest Machine Learning

The Olympics: deep data analysis

Data Science: Pandas, Models, and Algorithms

Jovian: Data Analysis - Zero to Pandas (Lecture Notes)

Jovian: Data Analysis - Zero to Pandas (Jupyter Notebooks)

TF Stock Forecasting and Sentiment Analysis - Part 2 (PDF)

Pandas Coding Challenges with Harshit Tyagi

Advanced Pandas with Brett Vanderblock

Andrew Ng - Logistic Regression

Clustering Algorithms - Josh Starmer, StatQuest.org

Python and Algorithms

Jovian: Data Structures and Algorithms (Lecture Notes)

Jovian: Data Structures and Algorithms (Jupyter Notebooks)

Advanced Python with Patrick Loeber (my notebooks)

Advanced Python with Joe Marini

Socratica's Python Courses - python files as PDF

Programming with Mosh: Python for Beginners (Python files as PDF)

Programming

Harvard CS50 Computer Science (Lecture Notes)

Dynamic Programming with Avik Das (PDF Notes)

Dynamic Programming with Avik Das (Jupyter PDF)

Unix Essentials with Kevin Skoglund

Learning Regular Expressions with Kevin Skoglund

React.js, Vite, Typescript

GameHub App - All code with explanations for reference

Updating GameHub App using React Query

Managing State: Reducers, React Context, Zustand

React Routing

Working with Hooks - 23 April 2023

Working with map() - 26 April 2023

React 18 for Beginners: Managing State

React 18 for Beginners: Forms and Validation

Vite - React - Typescript: Expense Tracker

Vite - React - Typescript: Working with Backend

Mosh Hamedani: React for Beginners Part 1 Notes

Mosh Hamedani: React Query

REACT NATIVE:

React Native Introduction: GitHub with code and screenshots

React Native - Notes on use

Backend

Django - introduction note s | GitHub Repo

Customized Documentation Notebooks

The following notebooks are compilations I have made from the documentation for the various modules and libraries. They contain the original documentation as well as some experiments of my own with the modules. I put these together as a means of digesting and practicing working with the modules. I claim no ownership over any of the text or code in the following notebooks. The materials belong to each respective module's team.

IPyWidgets Module: HTML | Jupyter | Gist | GitHub

IPython Display Module: HTML | Jupyter | Gist | GitHub

Evan Marie's Notebook:

Machine Learning, Deep Learning, and AI

Time Series Forecasting

Python for Data Visualization

NumPy Essentials, Matplotlib, & Advanced Operations