Statistics For Data Science And Machine Learning For Statistics (Numpy, Pandas, Matplotlib, Seaborn)

Introduction to statistics for data science and machine learning. tutorial How to install numpy, pandas, seaborn, matplotlib, jyputer notebook, python. How to create a virtual environment in Python. Getting started with data science tutorial.

This video is part one of the complete course on introduction to statistics for data science and machine learning. Learn data science and understand the fundamental statistics concepts. This is a hands on practice course where we learn the therory and code using Python all in one video.

Topics Covered:
1. Installation of libraries (Pandas, Seaborn, Numpy and Matplotlib)
2. Basic Terminologies used in Statistics and Machine learning
3. Mean using numpy
4. Trimmed Mean
5. Weighted Mean
6. Median using scipy
7. Mode using scipy
8. Range using numpy
9. Deviation using numpy
10. Variance using numpy
11. Standard Deviation using numpy
12. Scipy
13. Numpy
14. Pandas
15. Matplotlib
16. Seaborn

Statistics for data science playlist :

#Pythonforstatistics #Python #Numpy #Statistics #ML #DataScience