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01 - Course Introduction and Welcome Message.mp4
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MP4
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24.5 MB
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02 - Updates on Udemy Reviews.mp4
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MP4
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5.9 MB
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03 - Course Key Tips and Best Practices.mp4
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MP4
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51.1 MB
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04 - Course Outline and Key Learning Outcomes.mp4
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MP4
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156.1 MB
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05 - AWS Free Tier Account Setup and Overview.mp4
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MP4
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33 MB
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06 - Introduction to AI, Machine Learning and Deep Learning.mp4
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MP4
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106.5 MB
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07 - Introduction to AI, Machine Learning and Deep Learning - Part #2.mp4
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MP4
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111.1 MB
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08 - Good Data Vs. Bad Data.mp4
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MP4
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46.5 MB
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09 - Introduction to AWS and Cloud Computing.mp4
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MP4
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71.4 MB
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10 - Key Machine Learning Components and AWS Management Console Tour.mp4
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MP4
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42 MB
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11 - AWS Regions and Availability Zones.mp4
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MP4
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57.7 MB
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12 - Amazon S3.mp4
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MP4
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88.9 MB
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13 - Amazon EC2 and IAM.mp4
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MP4
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82.8 MB
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14 - AWS SageMaker Overview.mp4
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MP4
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38.4 MB
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15 - AWS SageMaker Walk-through.mp4
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MP4
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118.2 MB
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16 - AWS SageMaker Studio Overview.mp4
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MP4
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47.6 MB
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17 - AWS SageMaker Studio Walk-through.mp4
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MP4
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77.8 MB
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18 - SageMaker Models Deployment.mp4
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MP4
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133.8 MB
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19 - Project Overview.mp4
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MP4
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21.3 MB
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20 - Simple Linear Regression Intuition.mp4
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MP4
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60.3 MB
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21 - Least Sum of Squares.mp4
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MP4
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52.2 MB
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22 - AWS SageMaker Linear Learner Overview.mp4
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MP4
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168.2 MB
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23 - Coding Task #1A - Instantiate AWS SageMaker Notebook Instance (Method #1).mp4
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MP4
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195.4 MB
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24 - Coding Task #1B - Using AWS SageMaker Studio (Method #2).mp4
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MP4
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88.4 MB
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25 - Coding Task #2 - Import Key libraries and dataset.mp4
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MP4
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67.5 MB
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26 - Coding Task #3 - Perform Exploratory Data Analysis.mp4
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MP4
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144 MB
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27 - Coding Task #4 - Create Training and Testing Dataset.mp4
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MP4
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92 MB
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28 - Coding Task #5 - Train a Linear Regression Model in SkLearn.mp4
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MP4
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74.3 MB
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29 - Coding Task #6 - Evaluate Trained Model Performance.mp4
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MP4
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62.7 MB
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30 - Coding Task #7 - Train a Linear Learner Model in AWS SageMaker.mp4
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MP4
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483.7 MB
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31 - Coding Task #8 - Deploy Model & invoke endpoint in SageMaker.mp4
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MP4
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125.1 MB
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32 - Project Overview and Introduction.mp4
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MP4
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11.4 MB
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33 - Multiple Linear Regression Intuition.mp4
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MP4
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20.8 MB
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34 - Regression Metrics and KPIs - RMSE, MSE, MAE, MAPE.mp4
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MP4
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83.4 MB
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35 - Regression Metrics and KPIs - R2 and Adjusted R2.mp4
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MP4
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83 MB
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36 - Coding Task #1 & #2 - Import Dataset and Key Libraries.mp4
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MP4
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136.1 MB
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37 - Coding Task #3 - Perform Exploratory Data Analysis.mp4
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MP4
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158.2 MB
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38 - Coding Task #4 - Perform Data Visualization.mp4
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MP4
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112.7 MB
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39 - Coding Task #5 - Create Training and Testing Datasets.mp4
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MP4
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75.8 MB
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40 - Coding Task #6 - Train a Machine Learning Model Locally.mp4
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MP4
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57.9 MB
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41 - Coding Task #7 - Train a Linear Learner Model in AWS SageMaker.mp4
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MP4
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344.4 MB
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42 - Coding Task #8 - Deploy Trained Model and Invoke Endpoint.mp4
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MP4
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111.4 MB
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43 - Artificial Neural Networks for Regression Tasks.mp4
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MP4
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70.2 MB
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44 - Activation Functions - Sigmoid, RELU and Tanh.mp4
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MP4
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20 MB
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45 - Multilayer Perceptron Networks.mp4
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MP4
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19.6 MB
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46 - How do Artificial Neural Networks Train.mp4
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MP4
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41.4 MB
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47 - Gradient Descent Algorithm.mp4
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MP4
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105.6 MB
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48 - Backpropagation Algorithm.mp4
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MP4
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22.8 MB
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49 - Coding Task #9 - Train Artificial Neural Networks for Regression Tasks.mp4
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MP4
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250.2 MB
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50 - Introduction to Case Study.mp4
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MP4
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73.2 MB
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51 - Basics - What is the difference between Bias & Variance.mp4
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MP4
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66.4 MB
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52 - Basics - L1 & L2 Regularization - Part #1.mp4
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MP4
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32.2 MB
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53 - Basics - L1 & L2 Regularization - Part #2.mp4
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MP4
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16.2 MB
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54 - Introduction to XGBoost (Extreme Gradient Boosting) algorithm.mp4
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MP4
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35 MB
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55 - What is Boosting.mp4
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MP4
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46.5 MB
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56 - Decision Trees and Ensemble Learning.mp4
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MP4
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36 MB
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57 - Gradient Boosted Trees - Deep Dive - Part #1.mp4
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MP4
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179.8 MB
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58 - Gradient Boosted Trees - Deep Dive - Part #2.mp4
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MP4
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76.5 MB
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59 - AWS SageMaker XGBoost Algorithm.mp4
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MP4
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55.8 MB
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60 - Project Introduction and Notebook Instance Instantiation.mp4
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MP4
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105.1 MB
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61 - Coding Task #1 #2 #3 - Load Dataset_Libraries and Perform Data Exploration.mp4
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MP4
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225.3 MB
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62 - Coding Task #4 - Merge and Manipulate DataFrame Using Pandas.mp4
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MP4
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73.6 MB
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63 - Coding Task #5 - Explore Merged Datasets.mp4
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MP4
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63.2 MB
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64 - Coding Task #6 #7 - Visualize Dataset.mp4
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MP4
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205.2 MB
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65 - Coding Task #8 - Prepare the Data To Perform Training.mp4
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MP4
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33.6 MB
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66 - Coding Task #9 - Train XGBoost Locally.mp4
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MP4
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84.8 MB
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67 - Coding Task #10 - Train XGBoost Using SageMaker.mp4
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MP4
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175.9 MB
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68 - Coding Task #11 - Deploy XGBoost endpoint and Make Predictions.mp4
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MP4
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69.2 MB
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69 - Coding Task #12 - Perform Hyperparameters Tuning.mp4
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MP4
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166.4 MB
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70 - Coding Task #13 - Retrain the Model Using best (optimized) Hyperparameters.mp4
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MP4
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97.6 MB
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71 - Introduction and Project Overview.mp4
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MP4
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98.5 MB
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72 - Principal Component Analysis (PCA) Intuition.mp4
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MP4
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111.7 MB
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73 - XGBoost for Classification Tasks (Review Lecture).mp4
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MP4
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55 MB
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74 - Confusion Matrix.mp4
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MP4
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53.5 MB
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75 - Precision, Recall, and F1-Score.mp4
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MP4
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207.3 MB
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76 - Area Under Curve (AUC) and Receiver Operating Characteristics (ROC) Metrics.mp4
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MP4
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42 MB
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77 - Overfitting and Under fitting Models.mp4
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MP4
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20.2 MB
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78 - Coding Task #1 - SageMaker Studio Notebook Setup.mp4
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MP4
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57.9 MB
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79 - Coding Task #2 & #3 - Import Data_Libraries & Perform Exploratory data analysis.mp4
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MP4
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89.1 MB
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80 - Coding Task #4 & #5 - Visualize Datasets & Prepare Training_Testing Data.mp4
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MP4
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90.8 MB
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81 - Coding Task #6 - Train & Test XGboost and Perform Grid Search (Local Mode).mp4
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MP4
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229 MB
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82 - Coding Task #7 - Train a PCA Model in AWS SageMaker.mp4
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MP4
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155.6 MB
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83 - Coding Task #8 - Deploy Trained PCA Model Endpoint & Envoke endpoint.mp4
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MP4
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93.8 MB
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84 - Coding Task #9 - Train XGBoost (SageMaker Built-in) to do Classification Tasks.mp4
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MP4
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115.5 MB
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85 - Coding Task #10 - Deploy Endpoint, Make Inference @ Test Model.mp4
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MP4
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83.1 MB
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86 - Project Overview and Introduction.mp4
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MP4
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96.8 MB
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|
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87 - What are Convolutional Neural Networks and How do they Learn - Part #1.mp4
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MP4
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118.1 MB
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88 - What are Convolutional Neural Networks and How do they Learn - Part #2.mp4
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MP4
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124.3 MB
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89 - How to Improve CNNs Performance.mp4
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MP4
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13.3 MB
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90 - Confusion Matrix.mp4
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MP4
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40.5 MB
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91 - LeNet Network Architecture.mp4
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MP4
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85.7 MB
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92 - Request AWS SageMaker Service Limit Increase.mp4
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MP4
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5 MB
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93 - Coding Part #1 #2 - Import Images and Visualize Them.mp4
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MP4
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157.9 MB
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94 - Coding #3 #4 - Upload Training_Testing Data to S3.mp4
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MP4
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56 MB
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95 - Coding Task #5 - Build and Train CNNs.mp4
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MP4
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206.1 MB
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96 - Coding Task #6 - Deploy Trained Model Using SageMaker.mp4
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MP4
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70.5 MB
|
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SageMaker+Practical+Course+Package.zip
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ZIP
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145.1 MB
|
|
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TutsNode.com.txt
|
TXT
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102 B
|
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[TGx]Downloaded from torrentgalaxy.to .txt
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TXT
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614 B
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