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585б |
| 01 - Course Introduction and Welcome Message.mp4 |
24.54Мб |
| 02 - Updates on Udemy Reviews.mp4 |
5.93Мб |
| 03 - Course Key Tips and Best Practices.mp4 |
51.13Мб |
| 04 - Course Outline and Key Learning Outcomes.mp4 |
156.07Мб |
| 05 - AWS Free Tier Account Setup and Overview.mp4 |
33.02Мб |
| 06 - Introduction to AI, Machine Learning and Deep Learning.mp4 |
106.47Мб |
| 07 - Introduction to AI, Machine Learning and Deep Learning - Part #2.mp4 |
111.11Мб |
| 08 - Good Data Vs. Bad Data.mp4 |
46.46Мб |
| 09 - Introduction to AWS and Cloud Computing.mp4 |
71.38Мб |
| 10 - Key Machine Learning Components and AWS Management Console Tour.mp4 |
42.05Мб |
| 11 - AWS Regions and Availability Zones.mp4 |
57.71Мб |
| 12 - Amazon S3.mp4 |
88.88Мб |
| 13 - Amazon EC2 and IAM.mp4 |
82.78Мб |
| 14 - AWS SageMaker Overview.mp4 |
38.44Мб |
| 15 - AWS SageMaker Walk-through.mp4 |
118.16Мб |
| 16 - AWS SageMaker Studio Overview.mp4 |
47.64Мб |
| 17 - AWS SageMaker Studio Walk-through.mp4 |
77.75Мб |
| 18 - SageMaker Models Deployment.mp4 |
133.81Мб |
| 19 - Project Overview.mp4 |
21.34Мб |
| 20 - Simple Linear Regression Intuition.mp4 |
60.30Мб |
| 21 - Least Sum of Squares.mp4 |
52.16Мб |
| 22 - AWS SageMaker Linear Learner Overview.mp4 |
168.20Мб |
| 23 - Coding Task #1A - Instantiate AWS SageMaker Notebook Instance (Method #1).mp4 |
195.42Мб |
| 24 - Coding Task #1B - Using AWS SageMaker Studio (Method #2).mp4 |
88.43Мб |
| 25 - Coding Task #2 - Import Key libraries and dataset.mp4 |
67.48Мб |
| 26 - Coding Task #3 - Perform Exploratory Data Analysis.mp4 |
144.04Мб |
| 27 - Coding Task #4 - Create Training and Testing Dataset.mp4 |
91.98Мб |
| 28 - Coding Task #5 - Train a Linear Regression Model in SkLearn.mp4 |
74.29Мб |
| 29 - Coding Task #6 - Evaluate Trained Model Performance.mp4 |
62.73Мб |
| 30 - Coding Task #7 - Train a Linear Learner Model in AWS SageMaker.mp4 |
483.72Мб |
| 31 - Coding Task #8 - Deploy Model & invoke endpoint in SageMaker.mp4 |
125.12Мб |
| 32 - Project Overview and Introduction.mp4 |
11.44Мб |
| 33 - Multiple Linear Regression Intuition.mp4 |
20.82Мб |
| 34 - Regression Metrics and KPIs - RMSE, MSE, MAE, MAPE.mp4 |
83.40Мб |
| 35 - Regression Metrics and KPIs - R2 and Adjusted R2.mp4 |
83.01Мб |
| 36 - Coding Task #1 & #2 - Import Dataset and Key Libraries.mp4 |
136.07Мб |
| 37 - Coding Task #3 - Perform Exploratory Data Analysis.mp4 |
158.23Мб |
| 38 - Coding Task #4 - Perform Data Visualization.mp4 |
112.73Мб |
| 39 - Coding Task #5 - Create Training and Testing Datasets.mp4 |
75.77Мб |
| 40 - Coding Task #6 - Train a Machine Learning Model Locally.mp4 |
57.93Мб |
| 41 - Coding Task #7 - Train a Linear Learner Model in AWS SageMaker.mp4 |
344.44Мб |
| 42 - Coding Task #8 - Deploy Trained Model and Invoke Endpoint.mp4 |
111.42Мб |
| 43 - Artificial Neural Networks for Regression Tasks.mp4 |
70.23Мб |
| 44 - Activation Functions - Sigmoid, RELU and Tanh.mp4 |
20.03Мб |
| 45 - Multilayer Perceptron Networks.mp4 |
19.64Мб |
| 46 - How do Artificial Neural Networks Train.mp4 |
41.44Мб |
| 47 - Gradient Descent Algorithm.mp4 |
105.63Мб |
| 48 - Backpropagation Algorithm.mp4 |
22.82Мб |
| 49 - Coding Task #9 - Train Artificial Neural Networks for Regression Tasks.mp4 |
250.20Мб |
| 50 - Introduction to Case Study.mp4 |
73.16Мб |
| 51 - Basics - What is the difference between Bias & Variance.mp4 |
66.42Мб |
| 52 - Basics - L1 & L2 Regularization - Part #1.mp4 |
32.15Мб |
| 53 - Basics - L1 & L2 Regularization - Part #2.mp4 |
16.24Мб |
| 54 - Introduction to XGBoost (Extreme Gradient Boosting) algorithm.mp4 |
34.99Мб |
| 55 - What is Boosting.mp4 |
46.54Мб |
| 56 - Decision Trees and Ensemble Learning.mp4 |
35.98Мб |
| 57 - Gradient Boosted Trees - Deep Dive - Part #1.mp4 |
179.80Мб |
| 58 - Gradient Boosted Trees - Deep Dive - Part #2.mp4 |
76.52Мб |
| 59 - AWS SageMaker XGBoost Algorithm.mp4 |
55.81Мб |
| 60 - Project Introduction and Notebook Instance Instantiation.mp4 |
105.05Мб |
| 61 - Coding Task #1 #2 #3 - Load Dataset_Libraries and Perform Data Exploration.mp4 |
225.33Мб |
| 62 - Coding Task #4 - Merge and Manipulate DataFrame Using Pandas.mp4 |
73.62Мб |
| 63 - Coding Task #5 - Explore Merged Datasets.mp4 |
63.18Мб |
| 64 - Coding Task #6 #7 - Visualize Dataset.mp4 |
205.17Мб |
| 65 - Coding Task #8 - Prepare the Data To Perform Training.mp4 |
33.60Мб |
| 66 - Coding Task #9 - Train XGBoost Locally.mp4 |
84.81Мб |
| 67 - Coding Task #10 - Train XGBoost Using SageMaker.mp4 |
175.95Мб |
| 68 - Coding Task #11 - Deploy XGBoost endpoint and Make Predictions.mp4 |
69.15Мб |
| 69 - Coding Task #12 - Perform Hyperparameters Tuning.mp4 |
166.42Мб |
| 70 - Coding Task #13 - Retrain the Model Using best (optimized) Hyperparameters.mp4 |
97.57Мб |
| 71 - Introduction and Project Overview.mp4 |
98.53Мб |
| 72 - Principal Component Analysis (PCA) Intuition.mp4 |
111.75Мб |
| 73 - XGBoost for Classification Tasks (Review Lecture).mp4 |
54.98Мб |
| 74 - Confusion Matrix.mp4 |
53.47Мб |
| 75 - Precision, Recall, and F1-Score.mp4 |
207.30Мб |
| 76 - Area Under Curve (AUC) and Receiver Operating Characteristics (ROC) Metrics.mp4 |
41.98Мб |
| 77 - Overfitting and Under fitting Models.mp4 |
20.23Мб |
| 78 - Coding Task #1 - SageMaker Studio Notebook Setup.mp4 |
57.87Мб |
| 79 - Coding Task #2 & #3 - Import Data_Libraries & Perform Exploratory data analysis.mp4 |
89.06Мб |
| 80 - Coding Task #4 & #5 - Visualize Datasets & Prepare Training_Testing Data.mp4 |
90.84Мб |
| 81 - Coding Task #6 - Train & Test XGboost and Perform Grid Search (Local Mode).mp4 |
229.01Мб |
| 82 - Coding Task #7 - Train a PCA Model in AWS SageMaker.mp4 |
155.61Мб |
| 83 - Coding Task #8 - Deploy Trained PCA Model Endpoint & Envoke endpoint.mp4 |
93.77Мб |
| 84 - Coding Task #9 - Train XGBoost (SageMaker Built-in) to do Classification Tasks.mp4 |
115.47Мб |
| 85 - Coding Task #10 - Deploy Endpoint, Make Inference @ Test Model.mp4 |
83.07Мб |
| 86 - Project Overview and Introduction.mp4 |
96.80Мб |
| 87 - What are Convolutional Neural Networks and How do they Learn - Part #1.mp4 |
118.08Мб |
| 88 - What are Convolutional Neural Networks and How do they Learn - Part #2.mp4 |
124.29Мб |
| 89 - How to Improve CNNs Performance.mp4 |
13.27Мб |
| 90 - Confusion Matrix.mp4 |
40.48Мб |
| 91 - LeNet Network Architecture.mp4 |
85.72Мб |
| 92 - Request AWS SageMaker Service Limit Increase.mp4 |
4.99Мб |
| 93 - Coding Part #1 #2 - Import Images and Visualize Them.mp4 |
157.85Мб |
| 94 - Coding #3 #4 - Upload Training_Testing Data to S3.mp4 |
56.04Мб |
| 95 - Coding Task #5 - Build and Train CNNs.mp4 |
206.11Мб |
| 96 - Coding Task #6 - Deploy Trained Model Using SageMaker.mp4 |
70.47Мб |
| SageMaker+Practical+Course+Package.zip |
145.15Мб |
| TutsNode.com.txt |
63б |