Math For Data Science Beginners

Описание: 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/13VAY...
Data Used: https://drive.google.com/file/d/17yGT...
Installing Anaconda (for Python & Jupyter Notebook) for macOS: https://docs.anaconda.com/anaconda/in...
Installing Anaconda (for Python & Jupyter Notebook) for Windows: https://docs.anaconda.com/anaconda/in...
Installing Anaconda (for Python & Jupyter Notebook) for Linux: https://docs.anaconda.com/anaconda/in...

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