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[8] RNN GRU0:45:13

[8] RNN GRU LSTM

[8] Visualization of1:22:37

[8] Visualization of Multi Class Data

[8] NN Training1:30:23

[8] NN Training

[7-1] Introduction to1:03:04

[7-1] Introduction to NN

[7-2] Back Propagation0:32:40

[7-2] Back Propagation

[7] PCA1:34:18

[7] PCA

[6] Convolution Basics1:05:18

[6] Convolution Basics for Sequence Data

[6] Eigenvalues -1:27:30

[6] Eigenvalues - Eigenvectors for PCA visualization

[6-1] KERNELS and1:18:07

[6-1] KERNELS and NON Separable SVM

[6-2] Quad Prog0:18:46

[6-2] Quad Prog Math

[5] Fast Text0:55:28

[5] Fast Text

[5] Introduction to1:10:42

[5] Introduction to amChart

[5] SVM soft1:33:08

[5] SVM soft margin - Zewail

[4] Regex 2:18:39

[4] Regex Part 2 Advanced

[4] Dashboard Design1:18:20

[4] Dashboard Design Part2

[4] SVM Optimization1:18:05

[4] SVM Optimization Hard Margin

[3] Regex 1:43:29

[3] Regex Part 1

[1] Introduction to1:07:01

[1] Introduction to NLP

[3] Dashboard Design1:27:32

[3] Dashboard Design Part1

[3] Introduction to1:13:18

[3] Introduction to ML

[4] Intro to0:49:53

[4] Intro to ML and DL CSAI 100 2023

[03] Regulizer, Gradient1:36:37

[03] Regulizer, Gradient Decent,Perceptron

[1] Introduction to1:07:01

[1] Introduction to NLP Zewail CIE 634 Master

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