CampusX Data Science Mentorship Program 2022-23 - Session 13 - Numpy Fundamentals | Data Science Mentorship Program (DSMP) 2022-23 | Free Session

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