Session 13 - Numpy Fundamentals | Data Science Mentorship Program (DSMP) 2022-23 | Free Session
Channel: CampusX
Date: 2022-12-06

Data Science Mentorship Program (DSMP) 2022-23

----------------------------------------------------------------------------------------------------------------------------------------------
Enroll in this Programme from our Website - https://learnwith.campusx.in/

Course Website Link - https://campusx1040.graphy.com/s/preview/courses/CampusX-Data-Science-Mentorship-Program#6376dbd8e4b065a4cadac4db

YouTube Playlist - https://www.youtube.com/playlist?list=PLKnIA16_RmvbAlyx4_rdtR66B7EHX5k3z
-------------------------------------------------------------------------------------------------------------------------------------------------------
Session Notebook - https://colab.research.google.com/drive/1GEkNfxnCPfzX8TCymkZJvWbkpGKZRgiK?usp=sharing
------------------------------------------------------------------------------------------------------------------------------------------------------
NumPy Mathematical Functions- https://numpy.org/doc/stable/reference/routines.math.html
NumPy Universal  Functions- https://numpy.org/doc/stable/reference/ufuncs.html
-------------------------------------------------------------------------------------------------------------------------------------------------------
Time Stamp
--------------------
0:00 Start
3:07 Week Plan
6:20 Session-13 Start
7:04 NumPy Theory
📝Creating Arrays
16:58 Creating NumPy Array. np.Array()
20:46 Creating NumPy Array with Data Type
23:29 Creating NumPy Array using np.Arange() and .reshape()
26:36 np.ones and np.zeros
29:05 np.random
29:49 linearly spaced array- np.linspace()
32:20 Identity Matrix Creation - np.identity() or np.eye()
33:00 Creating Arrays summary

36:55 📝 NumPy Array Attributes
37:55 ndim
38:50 shape
40:44 size
41:31 itemsize
43:46 dtype
45:16 Doubts
47:43 Changing Datatype - astype
52:20 Array Operations
53:20 Scalar Operation
55:58 Vector Operation

59:08 📝NumPy Array Functions
1:00:52 Max/Min/Sum/Prod
1:03:49 Mean, Median, Standard Deviation, Variance, Trigo 
1:05:19 Arrays Dot Product
1:08:44 Log and Exp function
1:09:16 Round, Floor, Ceil
1:13:48 Indexing Slicing
1:41:50 Iteration on NumPy Array
1:46:24 Reshaping - Transpose, Ravel
1:49:55 Stacking - vstack, hstack
1:54:22 Splitting - hsplit, vsplit
1:58:36 Session Fast Recap