This is the Tutorial Series I prepared during the probability and Statistic Fall 1400. At first, I talk about Python basics and the essential knowledge to work with data types like lists, dictionaries, tuples, etc. After that, we extend our understanding to work with the most important libraries in statistics and machine learning, such as Numpy, Pandas, Seaborn, etc. Finally, we get to know deeper statistics and introduce you guys to the Scipy library. Watching the videos in the specified order is advisable to get the most of the materials discussed.
You can find the related YouTube videos at the following links :
- Python Basics :
- Part1 : https://youtu.be/loJc6EUiuVI
- Part2 : https://youtu.be/F70X_CosWIM
- NumPy : https://youtu.be/tF1qCqy6TLc
- Pandas : https://youtu.be/KPPnR78tQcM
- Matplotlib : https://youtu.be/O2GT9ZlFZBY
- Seaborn :
- Part1 : https://youtu.be/Hq1uszgvSkU
- Part2 : https://youtu.be/MXrg8Q7dMPo
- SciPy : https://youtu.be/FxoZFDGH4BI
Shayan Vassef
- LinkedIn : https://www.linkedin.com/in/shayan-vassef-319023203
- Gmail : shayanvassef2000@mail.com