Explore the fascinating world of Data Science with datascience_practice_general! This repository is your one-stop destination for diving into the essentials of data science, packed with interactive examples, in-depth tutorials, and hands-on exercises. Whether you're a beginner or an experienced data scientist, there's something here for everyone!
- Get to Grips with Basics: Demystify events, outcomes, and their dependencies.
- Distributions Unleashed: Dive into discrete (think Bernoulli, Binomial) and continuous (like normal, chi-square) worlds.
- Descriptive Statistics: Discover the story your data tells through measures like mean, variance, and more.
- Inferential Statistics: Conquer concepts like the Central Limit Theorem, hypothesis testing, and Bayesian methods.
- Linear to Non-Linear: Unravel the mysteries of regression analysis.
- Time Series Insights: Forecast the future and analyze time-based data trends.
- Data Acquisition & Cleaning: Master the art of gathering and polishing data.
- Transformations & Normalizations: Learn the secrets of data conditioning.
- Craft Stunning Visuals: With tools like Matplotlib and Seaborn, and even Tableau or Power BI, turn data into art.
Your Contributions Matter! Whether it's fixing a bug, adding a new example, or improving documentation, your input is invaluable. Just remember:
- Keep your code neat and well-commented.
- Make your examples and tutorials as clear as the summer sky.
- Stay relevant and innovative.
- Licensed under Apache
Eager to Learn More? Jump into the specific folders for a deep dive into each topic. Happy Data Science Journey!