Linux Memory Analysis Practical
Dr. Parag H. Rughani
Linux Memory Analysis Practical
15:01
Introduction to H2O.ai
Dr. Parag H. Rughani
Introduction to H2O.ai
9:33
K - Means Practical
Dr. Parag H. Rughani
K - Means Practical
6:11
Introduction to K-means Algorithm
Dr. Parag H. Rughani
Introduction to K-means Algorithm
6:29
Introduction Unsupervised Learning
Dr. Parag H. Rughani
Introduction Unsupervised Learning
2:21
Saving and Loading ML Models
Dr. Parag H. Rughani
Saving and Loading ML Models
2:51
NLP IMDB Review
Dr. Parag H. Rughani
NLP IMDB Review
14:36
Linear Regression Practical
Dr. Parag H. Rughani
Linear Regression Practical
6:05
Linear Regression
Dr. Parag H. Rughani
Linear Regression
6:14
Plotting And Visualizing Data
Dr. Parag H. Rughani
Plotting And Visualizing Data
12:23
Working With Data
Dr. Parag H. Rughani
Working With Data
10:45
Introduction to Machine Learning
Dr. Parag H. Rughani
Introduction to Machine Learning
9:32
NLP Introduction
Dr. Parag H. Rughani
NLP Introduction
6:11
Cats n Dogs using CNN
Dr. Parag H. Rughani
Cats n Dogs using CNN
15:37
CNN Introduction
Dr. Parag H. Rughani
CNN Introduction
7:16
Keras Multiclass Classification with MNIST Fashion Dataset
Dr. Parag H. Rughani
Keras Multiclass Classification with MNIST Fashion Dataset
6:40
SVM Kernels
Dr. Parag H. Rughani
SVM Kernels
6:36
Introduction to Keras
Dr. Parag H. Rughani
Introduction to Keras
10:15
Introduction to TensorFlow
Dr. Parag H. Rughani
Introduction to TensorFlow
11:04
Support Vector Machine - SVM
Dr. Parag H. Rughani
Support Vector Machine - SVM
10:12
MultiClass Classification using Scikit
Dr. Parag H. Rughani
MultiClass Classification using Scikit
12:03
NN Binary Classification using Sciktit [Practical]
Dr. Parag H. Rughani
NN Binary Classification using Sciktit [Practical]
13:05
NN Final
Dr. Parag H. Rughani
NN Final
7:08
NN BackPropagation
Dr. Parag H. Rughani
NN BackPropagation
6:07
NN CostFunction
Dr. Parag H. Rughani
NN CostFunction
3:38
Neural Network [Forward Propagation / Feed Forward]
Dr. Parag H. Rughani
Neural Network [Forward Propagation / Feed Forward]
9:51