aharoJ / JupyterNotebook

My machine learning notebook:code/docs/notes/src

Angel J. Haro

         

··· VISIT PORTFOLIO ···

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How to run

Check Your Python Version

Ensure you are using Python 3.6.15, which is required for this project. You can check your Python version by running the following command in your terminal:

python --version

or if you have multiple Python versions installed:

python3 --version

If the output isn't Python 3.6.15, you will need to install this version. You can visit the official Python downloads page to download and install Python 3.6.15, or manage multiple Python versions using a tool like pyenv or conda.

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Fixing errors with dependencies

All you have to do is pip install missing_module

Example 1

ModuleNotFoundError: No module named 'sklearn'

FIX

pip install sklearn && pip install scikit-learn

Example

ModuleNotFoundError: No module named 'plotly'

FIX

pip install plotly

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Data Science and Machine Learning Portfolio

Welcome to my GitHub repository, a comprehensive resource for Data Science and Machine Learning enthusiasts. This repository houses both practical Python projects and extensive markdown notes.

Contents

• Code
  • Python notebooks for data manipulation, visualization, and machine learning projects.
• Notes
  • In-depth markdown notes covering various topics in Data Science and Machine Learning.

Code

Explore practical implementations and projects in the Code directory. This includes:

Data Manipulation

• Detailed Python notebooks using Numpy and Pandas for data analysis.

Data Visualization

• Examples of data visualization with Matplotlib and Seaborn.

Projects

• Neural Network Reflectance Prediction: Developed a neural network to predict the reflectance of materials using the MERL BRDF dataset, employing deep learning techniques in Python.
• Capstone Project: An end-to-end machine learning workflow.
• House Price Prediction: Model for predicting house values.
• Linear Regression: Basics and applications of linear regression.

Notes

The Notes directory is filled with markdown files, providing theoretical background and personal insights into Data Science and Machine Learning.

Viewing Notes in Obsidian

For an enhanced experience viewing these notes, you can use Obsidian. Here’s how to install Obsidian on macOS:

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)" && brew install --cask obsidian