Hyperion Data Science Bootcamp Portfolio

Welcome to my Data Science Bootcamp Portfolio. This repository is a comprehensive showcase of the data science skills I have acquired during the bootcamp. It includes a collection of tutorials, assignments, guides for reuse convenience, knowledge and concept articles/videos, and cheat sheets. This repository is designed to demonstrate my proficiency in data science and provide valuable resources for anyone interested in the field.

1. Data Science Skills

1. Master ANOVA Test: A Comprehensive Guide
2. Master Chi-Square Test: A Comprehensive Guide
3. Master Feature Scaling (Standardization) in Machine Learning
4. Master Feature Scaling (Normalization) in Machine Learning
5. Master Linked List: A Comprehensive Guide
6. Finding the Middle Node in a Linked List: A Performance Analysis
7. [Tutorial] Data Preprocessing
8. [Tutorial] Data Cleaning Guide: Working with Free Text Data
9. [Tutorial] Data Cleaning Tutorial
10. [Tutorial] Data Visualization
11. [Tutorial] Supervised Learning - Linear Regression Analysis
12. [Tutorial] Supervised Learning - Random Forests

2. Guides

1. [Guide] Jupyter Notebook Setup Guide and Best Practices
2. [Guide] Logistic Regression, Explained: A Visual Guide with Code Examples for Beginners
3. [Guide] Handling Machine Learning Categorical Data with Python Tutorial
4. [Guide] A Newbie's Guide to Contributing Github Like a Pro

3. Knowledge and Concepts

1. Feature Scaling
2. When to Normalize or Standardize Data
3. Normalization Vs. Standardization (Feature Scaling in Machine Learning)
4. Essential Statistics: Mean, Median, Mode
5. Is There Any Difference Between Scikit-Learn and Sklearn?
6. The Complete Collection of Data Science Cheat Sheets

4. Cheat Sheets

1. [Cheat Sheet] Github GIT Cheat Sheet
2. [Cheat Sheet] Python Cheat Sheet
3. [Cheat Sheet] Numpy Cheat Sheet
4. [Cheat Sheet] Pandas Cheat Sheet for Data Science
5. [Cheat Sheet] Pandas Cheat Sheet: Data Wrangling
6. [Cheat Sheet] Pandas Cheat Sheet: Data Cleaning
7. [Cheat Sheet] Pandas Cheat Sheet: Visualization
8. [Cheat Sheet] Pandas Cheat Sheet: Datetime
9. [Cheat Sheet] Pandas vs SQL Cheat Sheet
10. [Cheat Sheet] Pandas vs R Cheat Sheet
11. [Cheat Sheet] Matplotlib Cheat Sheet
12. [Cheat Sheet] Seaborn Cheat Sheet

5. Documentation

1. [Documentation] Pandas
2. [Documentation] Matplotlib Documentation
3. [Documentation] Seaborn Documentation
4. [Documentation] Scikit-Learn Documentation