Math For Data Science Beginners

Flatiron School presents, Math For Data Science Beginners! In this lecture you learn some of the fundamental math and statistical concepts in data science. These include: mean centering, scaling, and machine learning algorithms. We also cover neural networks, what it takes to get started in a data science bootcamp, and some of our favorite data science movies!

3:50 - Instructor introduction
6:30 - What Is Data Science?
8:27 - Math Topics Covered In Workshop
11:06 - About Python
14:30 - Diving into the code
16:28 - Mean Centering & Scaling
23:15 - Machine Learning Algorithm Accuracy Chart
25:22 - Using MLA K-Nearest Neighbors
28:17 - Z-Score Example
34:57 - Data Science Movie Recommendations
38:18 - How do you get a Math Background?
40:09 - How Data Scientists Start A Project?
41:20 - Accountability Helps You Learn Data Science
42:50 - Predicting Cars By Number Of Doors
58:40 - Math I Need To Learn Before Joining The Bootcamp
1:06 - Understanding Neural Networks
1:09:14 - About the Bootcamp
1:14:12 - More Q&A

Resources:
The Jupyter Notebook Used: https://drive.google.com/file/d/13VAYm4-8caDaft6viWOwh20u9JQAgmOW/view
Data Used: https://drive.google.com/file/d/17yGTab0E08SJ3SDXPZJySh6KkqQ5SKJw/view
Installing Anaconda (for Python & Jupyter Notebook) for macOS: https://docs.anaconda.com/anaconda/install/mac-os/
Installing Anaconda (for Python & Jupyter Notebook) for Windows: https://docs.anaconda.com/anaconda/install/windows/
Installing Anaconda (for Python & Jupyter Notebook) for Linux: https://docs.anaconda.com/anaconda/install/linux/

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