# Evan Marie's Notebook:

**Evan Marie online**:

EvanMarie@Proton.me | Linked In | GitHub | Hugging Face | Glitch | Mastadon | Jovian.ai | TikTok | CodeWars | Discord â‡¨ âœ¨ EvanMarie âœ¨#6114

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!

#### Machine Learning, Deep Learning, and AI

PyTorch Essentials: Deep Learning (Jupyter) with Jonathan Fernandes

Artificial Intelligence Foundations: Machine Learning with Doug Rose

Machine Learning with Scikit-Learn with Michael Galarnyk

Deep Learning: Zero to GANs with Jovian.ml

PyTorch for Deep Learning with Patrick Loeber

Deep Learning: NLP with TensorFlow with Harshit Tyagi

Twitter Sentiment Analysis with Skillcate

NLP, NLTK, Hugging Face Roberta Transformer & Pipelines

Harvard CS50 Artificial Intelligence with Python (Lecture Notes)

#### Time Series Forecasting

StatsModels, SARIMAX, and Prophet

Forecasting with SKTime - Traffic Prediction (with Dave Ebbelaar)

Stock Forecasting with PyTorch (PDF)

Finance: APIs, Web Scraping, and Data Importing

Finance Data with Python Part One: Yahoo! Finance (PDF)

Finance Data with Python Part Two: Alpha Vantage

Finance: Backtesting Investments Strategies

Finance: Index Tracking and Forward Testing

TensorFlow Stock Forecasting - Part 1 (PDF)

TensorFlow Stock Forecasting - Part 3 (PDF)

#### Python for Data Visualization

#### NumPy Essentials, Matplotlib, & Advanced Operations

PDF of all notebooks from parts one and two of these courses

NumPy Essentials: Part One (all, pdf)

NumPy Essentials Part 1, Section 1 (array basics, html)

NumPy Essentials Part 1, Section 2 (manipulating arrays, html)

NumPy Essentials Part 1, Section 3 (arithmetic operations, html)

NumPy Essentials 2: Matplotlib & Linear Algebra Capabilities (all pdf)

NumPy Essentials Part 2, Section 1 (Matplotlib, html)

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

#### Advanced Projects: Data Science with Pandas

#### 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

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

#### 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 online**:

EvanMarie@Proton.me | Linked In | GitHub | Hugging Face | Glitch | Mastadon | Jovian.ai | TikTok | CodeWars | Discord â‡¨ âœ¨ EvanMarie âœ¨#6114