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Alternate Music Videos/Open Your Heart - Alternate Ending.vob 191.4 MB
American Music Awards/Madonna Wins Favorite PopRock Video Female - AMA 1987.mp4 14.7 MB
At Close Range Premiere/Entertainment Tonight.mp4 16.6 MB
At Close Range Premiere/Madonna and Sean Penn at the At Close Range Premiere (1986).mp4 3.7 MB
At Close Range Premiere/MTV Report.mp4 1.4 MB
Jane Pauley Today Show Interview/1987 True Blue Promotion - Today Show Interview With Jane Pauley - Full Unedited Version - July 30 [HQ].vob 3.2 GB
Johnny Carson Interview/Johnny Carson Interview.mp4 2.1 GB
Johnny Carson Interview/SEAN PENN talks about his wife MADONNA in 1986.mp4 205.7 MB
Mitsubishi Ad's/1986 Mitsubishi Commercial (La Isla Bonita) #1.mkv 8.3 MB
Mitsubishi Ad's/1986 Mitsubishi Commercials (Ture Blue).mkv 26.8 MB
Mitsubishi Ad's/1986 Mitsubishi La Isla Bonita Commercial (long version).mkv 65.3 MB
Mitsubishi Ad's/1986 Shanghai Surprise Trailer (Mitsubishi Promo VHS).mkv 25.9 MB
Mitsubishi Ad's/1987 Mitsubishi Causing A Commotion Commercial (long version).mkv 11.0 MB
Mitsubishi Ad's/1987 Mitsubishi Causing A Commotion Commercial (short version).mkv 22.5 MB
Mitsubishi Ad's/1987 Mitsubishi Crazy For You Commercial.mkv 5.3 MB
Mitsubishi Ad's/1987 Mitsubishi Spotlight Commercial.mkv 33.3 MB
Mitsubishi Ad's/1987 Mitsubishi WTG Tour Promo.mkv 9.7 MB
Mitsubishi Ad's/Madonna Dreams Come True VHS rip.mkv 598.3 MB
MTV Make My Video Contest/True Blue (Make My Video).mpg 363.4 MB
MTV Music Awards 1986/MTV Video Vanguard Award 1986.mp4 53.4 MB

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【影视】 [FreeCoursesOnline.Me] JavaSpecialists - Data Structures in Java

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lesson12.mp4 2.0 GB
lesson14.mp4 1.4 GB
lesson21.mp4 1.1 GB
lesson2.mp4 916.1 MB
lesson27.mp4 786.6 MB
lesson23.mp4 762.0 MB
lesson25.mp4 742.5 MB
lesson34.mp4 733.4 MB
lesson16.mp4 723.1 MB
lesson35.mp4 696.5 MB
lesson17.mp4 659.6 MB
lesson33.mp4 641.1 MB
lesson4.mp4 615.0 MB
lesson31.mp4 567.7 MB
lesson6.mp4 566.8 MB
lesson18.mp4 551.0 MB
lesson26.mp4 536.1 MB
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46 - 5.3 Learn Redshift design.mp4 1.2 GB
47 - 5.4 Use Redshift data ingestion.mp4 980.9 MB
64 - 7.7 Implement EMR Security.mp4 939.5 MB
17 - 2.7 Demo - AWS Kinesis.mp4 921.8 MB
68 - 8.3 Learn Serverless Production Big Data application development.mp4 869.6 MB
63 - 7.6 Implement Redshift Security.mp4 830.9 MB
60 - 7.3 Identity and Access Management (IAM).mp4 803.7 MB
54 - 6.2 Design and create the Visualization platform.mp4 676.1 MB
51 - 5.8 Use AWS Athena - interactive analytics.mp4 618.0 MB
62 - 7.5 Configure VPC.mp4 556.3 MB
75 - 10.1 Wrap up.mp4 524.2 MB
53 - 6.1 Overview of AWS Quicksight.mp4 501.7 MB
66 - 8.1 Understand Big Data for Sagemaker.mp4 487.9 MB
49 - 5.6 Use AWS Elasticsearch - operational analytics.mp4 481.7 MB
16 - 2.6 Scenario 3.mp4 477.5 MB
48 - 5.5 Apply Redshift operations.mp4 458.1 MB
45 - 5.2 Understand Redshift overview.mp4 413.7 MB
56 - 6.4 Understand critical Quicksight limitations.mp4 369.7 MB
50 - 5.7 Understand Machine Learning - clustering and regression.mp4 329.3 MB
61 - 7.4 Encryption.mp4 327.7 MB

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【影视】 [FreeCourseSite.com] Udemy - Data Science Masterclass With R! 4 Projects+8 Case Studies

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16. SUPERVISED LEARNING REGRESSION/5. Linear Regression 5.mp4 259.5 MB
18. Logistic Regression/7. Telecom Churn Case Study.mp4 259.4 MB
30. Capstone Project - Big Mart Sell/5. Big Mart Sale - Pre-Processing.mp4 246.5 MB
16. SUPERVISED LEARNING REGRESSION/3. Linear Regression 3.mp4 244.4 MB
3. Course Curriculum Overview/1. What We are Going to Discuss Over the Course.vtt 229.3 MB
3. Course Curriculum Overview/1. What We are Going to Discuss Over the Course.mp4 229.2 MB
24. Capstone Project - Titanic Survival/9. Capstone Project - Decision Tree.mp4 216.2 MB
29. Association Rule Mining/4. Association Rule Mining - Case Study.mp4 214.0 MB
30. Capstone Project - Big Mart Sell/6. Big Mart Sale - Model Building & Evaluation.mp4 210.8 MB
31. Model Deployment/3. Model Deployment - Steps To Follow.mp4 209.1 MB
24. Capstone Project - Titanic Survival/7. Capstone Project - Logistics Regression.mp4 202.9 MB
8. Data Manipulation/4. Data Manipulation - mutate.mp4 195.3 MB
8. Data Manipulation/5. Data Manipulation - filter.mp4 195.2 MB
28. Principal Component Analysis (PCA)/2. PCA - R Code Implementation.mp4 190.7 MB
16. SUPERVISED LEARNING REGRESSION/4. Linear Regression 4.mp4 188.1 MB
19. K-NN/4. K-NN Case Study.mp4 186.2 MB
25. K-Mean Clustering/3. K-Mean Clustering R Code Implementation.mp4 182.5 MB
28. Principal Component Analysis (PCA)/3. PCA - Case Study.mp4 180.1 MB
10. Introduction To Statistics/12. Intro To Stat - Part 7.mp4 177.0 MB
26. Hierarchical Clustering/2. Hierarchical Clustering R Code Implementation.mp4 176.6 MB

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【影视】 [DesireCourse.Net] Udemy - Data Science Masterclass With R! 4 Projects+8 Case Studies

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16. SUPERVISED LEARNING REGRESSION/5. Linear Regression 5.mp4 259.5 MB
18. Logistic Regression/7. Telecom Churn Case Study.mp4 259.4 MB
30. Capstone Project - Big Mart Sell/5. Big Mart Sale - Pre-Processing.mp4 246.5 MB
16. SUPERVISED LEARNING REGRESSION/3. Linear Regression 3.mp4 244.4 MB
3. Course Curriculum Overview/1. What We are Going to Discuss Over the Course.vtt 229.3 MB
3. Course Curriculum Overview/1. What We are Going to Discuss Over the Course.mp4 229.2 MB
24. Capstone Project - Titanic Survival/9. Capstone Project - Decision Tree.mp4 216.2 MB
29. Association Rule Mining/4. Association Rule Mining - Case Study.mp4 214.0 MB
30. Capstone Project - Big Mart Sell/6. Big Mart Sale - Model Building & Evaluation.mp4 210.8 MB
31. Model Deployment/3. Model Deployment - Steps To Follow.mp4 209.1 MB
24. Capstone Project - Titanic Survival/7. Capstone Project - Logistics Regression.mp4 202.9 MB
8. Data Manipulation/4. Data Manipulation - mutate.mp4 195.3 MB
8. Data Manipulation/5. Data Manipulation - filter.mp4 195.2 MB
28. Principal Component Analysis (PCA)/2. PCA - R Code Implementation.mp4 190.7 MB
16. SUPERVISED LEARNING REGRESSION/4. Linear Regression 4.mp4 188.1 MB
19. K-NN/4. K-NN Case Study.mp4 186.2 MB
25. K-Mean Clustering/3. K-Mean Clustering R Code Implementation.mp4 182.5 MB
28. Principal Component Analysis (PCA)/3. PCA - Case Study.mp4 180.1 MB
10. Introduction To Statistics/12. Intro To Stat - Part 7.mp4 177.0 MB
26. Hierarchical Clustering/2. Hierarchical Clustering R Code Implementation.mp4 176.6 MB

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【影视】 [FreeCoursesOnline.Me] PacktPub - 50 Hours of Big Data, PySpark, AWS, Scala, and Scraping [Video]

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02.142-project_performing_etl.mkv 252.7 MB
04.24-basic_update_operation_update_documents_(single_filter).mkv 216.6 MB
04.101-query_and_projection_operators_solution_(text).mkv 212.8 MB
04.47-query_and_projection_operators_eq_operator.mkv 209.8 MB
04.62-query_and_projection_operators_elemmatch_operator.mkv 180.4 MB
04.60-query_and_projection_operators_text_operator.mkv 172.1 MB
01.20-requests_solution_02_(extracting_top_stats_from_cricinfo).mkv 170.2 MB
04.169-spark_with_mongo_etl.mkv 163.8 MB
04.122-update_operators_pull_operator.mkv 150.9 MB
04.14-basic_mongo_operations_basic_collection_commands.mkv 147.0 MB
04.08-overview_nosql_schema.mkv 140.4 MB
03.109-3.109_collaborative_filtering_recommendations.mkv 137.3 MB
04.88-query_and_projection_operators_solution_(or).mkv 123.1 MB
04.16-basic_create_operation_create_document_(single).mkv 116.5 MB
04.56-query_and_projection_operators_exists_operator.mkv 114.3 MB
04.07-overview_sql_schema.mkv 109.7 MB
04.67-query_and_projection_operators_solution_(eq).mkv 109.4 MB
04.64-query_and_projection_operators__operator.mkv 108.6 MB
04.145-mongo_with_node_insert_in_mongo_using_node.mkv 108.3 MB
03.155-3.155_project-change_data_capture__replication_on_going_change_data_capture_pipeline.mkv 107.9 MB

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02.142-project_performing_etl.mkv 252.7 MB
04.24-basic_update_operation_update_documents_(single_filter).mkv 216.6 MB
04.101-query_and_projection_operators_solution_(text).mkv 212.8 MB
04.47-query_and_projection_operators_eq_operator.mkv 209.8 MB
04.62-query_and_projection_operators_elemmatch_operator.mkv 180.4 MB
04.60-query_and_projection_operators_text_operator.mkv 172.1 MB
01.20-requests_solution_02_(extracting_top_stats_from_cricinfo).mkv 170.2 MB
04.169-spark_with_mongo_etl.mkv 163.8 MB
04.122-update_operators_pull_operator.mkv 150.9 MB
04.14-basic_mongo_operations_basic_collection_commands.mkv 147.0 MB
04.08-overview_nosql_schema.mkv 140.4 MB
03.109-3.109_collaborative_filtering_recommendations.mkv 137.3 MB
04.88-query_and_projection_operators_solution_(or).mkv 123.1 MB
04.16-basic_create_operation_create_document_(single).mkv 116.5 MB
04.56-query_and_projection_operators_exists_operator.mkv 114.3 MB
04.07-overview_sql_schema.mkv 109.7 MB
04.67-query_and_projection_operators_solution_(eq).mkv 109.4 MB
04.64-query_and_projection_operators__operator.mkv 108.6 MB
04.145-mongo_with_node_insert_in_mongo_using_node.mkv 108.3 MB
03.155-3.155_project-change_data_capture__replication_on_going_change_data_capture_pipeline.mkv 107.9 MB

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02.142-project_performing_etl.mkv 252.7 MB
04.24-basic_update_operation_update_documents_(single_filter).mkv 216.6 MB
04.101-query_and_projection_operators_solution_(text).mkv 212.8 MB
04.47-query_and_projection_operators_eq_operator.mkv 209.8 MB
04.62-query_and_projection_operators_elemmatch_operator.mkv 180.4 MB
04.60-query_and_projection_operators_text_operator.mkv 172.1 MB
01.20-requests_solution_02_(extracting_top_stats_from_cricinfo).mkv 170.2 MB
04.169-spark_with_mongo_etl.mkv 163.8 MB
04.122-update_operators_pull_operator.mkv 150.9 MB
04.14-basic_mongo_operations_basic_collection_commands.mkv 147.0 MB
04.08-overview_nosql_schema.mkv 140.4 MB
03.109-3.109_collaborative_filtering_recommendations.mkv 137.3 MB
04.88-query_and_projection_operators_solution_(or).mkv 123.1 MB
04.16-basic_create_operation_create_document_(single).mkv 116.5 MB
04.56-query_and_projection_operators_exists_operator.mkv 114.3 MB
04.07-overview_sql_schema.mkv 109.7 MB
04.67-query_and_projection_operators_solution_(eq).mkv 109.4 MB
04.64-query_and_projection_operators__operator.mkv 108.6 MB
04.145-mongo_with_node_insert_in_mongo_using_node.mkv 108.3 MB
03.155-3.155_project-change_data_capture__replication_on_going_change_data_capture_pipeline.mkv 107.9 MB

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02.142-Project Performing Etl.mkv 252.7 MB
04.24-Basic Update Operation Update Documents (Single Filter).mkv 216.6 MB
04.101-Query And Projection Operators Solution (Text).mkv 212.8 MB
04.47-Query And Projection Operators Eq Operator.mkv 209.8 MB
04.62-Query And Projection Operators Elemmatch Operator.mkv 180.4 MB
04.60-Query And Projection Operators Text Operator.mkv 172.1 MB
01.20-Requests Solution 02 (Extracting Top Stats From Cricinfo).mkv 170.2 MB
04.169-Spark With Mongo Etl.mkv 163.8 MB
04.122-Update Operators Pull Operator.mkv 150.9 MB
04.14-Basic Mongo Operations Basic Collection Commands.mkv 147.0 MB
04.08-Overview Nosql Schema.mkv 140.4 MB
03.109-3.109 Collaborative Filtering Recommendations.mkv 137.3 MB
04.88-Query And Projection Operators Solution (Or).mkv 123.1 MB
04.16-Basic Create Operation Create Document (Single).mkv 116.5 MB
04.56-Query And Projection Operators Exists Operator.mkv 114.3 MB
04.07-Overview Sql Schema.mkv 109.7 MB
04.67-Query And Projection Operators Solution (Eq).mkv 109.4 MB
04.64-Query And Projection Operators Operator.mkv 108.6 MB
04.145-Mongo With Node Insert In Mongo Using Node.mkv 108.3 MB
03.155-3.155 Project-Change Data Capture Replication On Going Change Data Capture Pipeline.mkv 107.9 MB

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【影视】 Udemy The Complete Data Structures and Algorithms Course in Python

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Udemy - The Complete Data Structures and Algorithms Course in Python/7. Arrays/11. One Dimensional Array Practice.mp4 160.9 MB
Udemy - The Complete Data Structures and Algorithms Course in Python/Udemy - The Complete Data Structures and Algorithms Course in Python/7. Arrays/11. One Dimensional Array Practice.mp4 160.9 MB
Udemy - The Complete Data Structures and Algorithms Course in Python/40. Cracking Trees and Graphs Top Interview Questions (Apple, Amazon, Facebook)/15. Solution to Build Order.mp4 140.8 MB
Udemy - The Complete Data Structures and Algorithms Course in Python/Udemy - The Complete Data Structures and Algorithms Course in Python/40. Cracking Trees and Graphs Top Interview Questions (Apple, Amazon, Facebook)/15. Solution to Build Order.mp4 140.8 MB
Udemy - The Complete Data Structures and Algorithms Course in Python/24. AVL Tree/9. Insert a node in AVL (method).mp4 101.1 MB
Udemy - The Complete Data Structures and Algorithms Course in Python/22. Tree Binary Tree/15. Delete a node from Binary Tree (Linked List).mp4 98.7 MB
Udemy - The Complete Data Structures and Algorithms Course in Python/20. Queue/5. Circular Queue - Python List, Operations (enqueue, dequeue, peek, delete).mp4 98.2 MB
Udemy - The Complete Data Structures and Algorithms Course in Python/25. Binary Heap/4. Extract a node from Binary Heap.mp4 95.2 MB
Udemy - The Complete Data Structures and Algorithms Course in Python/12. Dictionaries/8. Dictionary Methods.mp4 92.0 MB
Udemy - The Complete Data Structures and Algorithms Course in Python/28. Sort Algorithms/9. Quick Sort.mp4 89.1 MB
Udemy - The Complete Data Structures and Algorithms Course in Python/Udemy - The Complete Data Structures and Algorithms Course in Python/28. Sort Algorithms/9. Quick Sort.mp4 89.1 MB
Udemy - The Complete Data Structures and Algorithms Course in Python/40. Cracking Trees and Graphs Top Interview Questions (Apple, Amazon, Facebook)/7. Solution to List of Depths.mp4 81.9 MB
Udemy - The Complete Data Structures and Algorithms Course in Python/Udemy - The Complete Data Structures and Algorithms Course in Python/40. Cracking Trees and Graphs Top Interview Questions (Apple, Amazon, Facebook)/7. Solution to List of Depths.mp4 81.9 MB
Udemy - The Complete Data Structures and Algorithms Course in Python/12. Dictionaries/9. Dictionary operations built in functions.mp4 81.5 MB
Udemy - The Complete Data Structures and Algorithms Course in Python/23. Binary Search Tree/4. Traverse BST.mp4 79.0 MB
Udemy - The Complete Data Structures and Algorithms Course in Python/25. Binary Heap/3. Insert a node in Binary Heap.mp4 78.7 MB
Udemy - The Complete Data Structures and Algorithms Course in Python/5. Big O Notation/3. Time complexity examples.mp4 75.8 MB
Udemy - The Complete Data Structures and Algorithms Course in Python/Udemy - The Complete Data Structures and Algorithms Course in Python/5. Big O Notation/3. Time complexity examples.mp4 75.8 MB
Udemy - The Complete Data Structures and Algorithms Course in Python/15. Circular Singly Linked List/9. Delete Method in Circular Singlu Linked List.mp4 75.4 MB
Udemy - The Complete Data Structures and Algorithms Course in Python/20. Queue/3. Queue using Python List - no size limit , operations (enqueue, dequeue, peek).mp4 75.0 MB

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【影视】 Complete 2020 Data Science and Machine Learning Bootcamp [UdemyLibrary.com]

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Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
Course/5. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
Course/12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4 246.8 MB
Course/3. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.3 MB
Course/12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4 234.1 MB
Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.6 MB
Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 MB
Course/5. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
Course/11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4 215.3 MB
Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
Course/12. Serving a Tensorflow Model through a Website/7. Loading a Tensorflow.js Model and Starting your own Server.mp4 197.2 MB
Course/12. Serving a Tensorflow Model through a Website/9. Styling an HTML Canvas.mp4 196.5 MB
Course/12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4 181.2 MB
Course/12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4 180.3 MB

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04. Introduction to Optimisation and the Gradient Descent Algorithm/08. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/06. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
05. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4 246.8 MB
03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.3 MB
12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4 234.1 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/09. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.6 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 MB
05. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
08. Test and Evaluate a Naive Bayes Classifier Part 3/06. Visualising the Decision Boundary.mp4 215.3 MB
08. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/09. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
12. Serving a Tensorflow Model through a Website/07. Loading a Tensorflow.js Model and Starting your own Server.mp4 197.2 MB
12. Serving a Tensorflow Model through a Website/09. Styling an HTML Canvas.mp4 196.5 MB
12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4 181.2 MB
12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4 180.3 MB

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04. Introduction to Optimisation and the Gradient Descent Algorithm/08. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/06. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
05. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4 246.8 MB
03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.3 MB
12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4 234.1 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/09. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.6 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 MB
05. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
08. Test and Evaluate a Naive Bayes Classifier Part 3/06. Visualising the Decision Boundary.mp4 215.3 MB
08. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/09. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
12. Serving a Tensorflow Model through a Website/07. Loading a Tensorflow.js Model and Starting your own Server.mp4 197.2 MB
12. Serving a Tensorflow Model through a Website/09. Styling an HTML Canvas.mp4 196.5 MB
12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4 181.2 MB
12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4 180.3 MB

猜你喜欢： Complete Com Learning Udemy Machine GigaCourse 2022 Science Bootcamp Data

【影视】 [FreeCourseSite.com] Udemy - Complete 2022 Data Science & Machine Learning Bootcamp

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04. Introduction to Optimisation and the Gradient Descent Algorithm/08. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/06. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
05. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4 246.8 MB
03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.3 MB
12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4 234.1 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/09. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.6 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 MB
05. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
08. Test and Evaluate a Naive Bayes Classifier Part 3/06. Visualising the Decision Boundary.mp4 215.3 MB
08. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/09. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
12. Serving a Tensorflow Model through a Website/07. Loading a Tensorflow.js Model and Starting your own Server.mp4 197.2 MB
12. Serving a Tensorflow Model through a Website/09. Styling an HTML Canvas.mp4 196.5 MB
12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4 181.2 MB
12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4 180.3 MB

猜你喜欢： Complete FreeCourseSite com Learning Udemy Machine 2022 Science Bootcamp Data

【影视】 [FreeCourseSite.com] Udemy - Complete 2020 Data Science & Machine Learning Bootcamp

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4. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
5. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4 246.8 MB
3. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.3 MB
12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4 234.1 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.6 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 MB
5. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
8. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4 215.3 MB
8. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
12. Serving a Tensorflow Model through a Website/7. Loading a Tensorflow.js Model and Starting your own Server.mp4 197.2 MB
12. Serving a Tensorflow Model through a Website/9. Styling an HTML Canvas.mp4 196.5 MB
12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4 181.2 MB
12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4 180.3 MB

猜你喜欢： Complete FreeCourseSite com Udemy Machine 2020 Learning Science Bootcamp Data

【影视】 [FreeCourseSite.com] Udemy - Complete 2020 Data Science & Machine Learning Bootcamp

收录时间:2021-04-04 文档个数:428 文档大小:18.4 GB 最近下载:2025-05-11 人气:1168 磁力链接

4. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
5. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4 246.8 MB
3. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.3 MB
12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4 234.1 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.6 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 MB
5. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
8. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4 215.3 MB
8. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
12. Serving a Tensorflow Model through a Website/7. Loading a Tensorflow.js Model and Starting your own Server.mp4 197.2 MB
12. Serving a Tensorflow Model through a Website/9. Styling an HTML Canvas.mp4 196.5 MB
12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4 181.2 MB
12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4 180.3 MB

猜你喜欢： Complete FreeCourseSite com Udemy Machine 2020 Learning Science Bootcamp Data

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收录时间:2021-03-07 文档个数:489 文档大小:18.4 GB 最近下载:2025-05-16 人气:3181 磁力链接

Data Science Masterclass With R! 4 Projects+8 Case Studies/16. SUPERVISED LEARNING REGRESSION/5. Linear Regression 5.mp4 259.5 MB
Data Science Masterclass With R! 4 Projects+8 Case Studies/18. Logistic Regression/7. Telecom Churn Case Study.mp4 259.4 MB
Data Science Masterclass With R! 4 Projects+8 Case Studies/30. Capstone Project - Big Mart Sell/5. Big Mart Sale - Pre-Processing.mp4 246.5 MB
Data Science Masterclass With R! 4 Projects+8 Case Studies/16. SUPERVISED LEARNING REGRESSION/3. Linear Regression 3.mp4 244.4 MB
Data Science Masterclass With R! 4 Projects+8 Case Studies/3. Course Curriculum Overview/1. What We are Going to Discuss Over the Course.mp4 229.2 MB
Data Science Masterclass With R! 4 Projects+8 Case Studies/24. Capstone Project - Titanic Survival/9. Capstone Project - Decision Tree.mp4 216.2 MB
Data Science Masterclass With R! 4 Projects+8 Case Studies/29. Association Rule Mining/4. Association Rule Mining - Case Study.mp4 214.0 MB
Data Science Masterclass With R! 4 Projects+8 Case Studies/30. Capstone Project - Big Mart Sell/6. Big Mart Sale - Model Building & Evaluation.mp4 210.8 MB
Data Science Masterclass With R! 4 Projects+8 Case Studies/31. Model Deployment/3. Model Deployment - Steps To Follow.mp4 209.1 MB
Data Science Masterclass With R! 4 Projects+8 Case Studies/24. Capstone Project - Titanic Survival/7. Capstone Project - Logistics Regression.mp4 202.9 MB
Data Science Masterclass With R! 4 Projects+8 Case Studies/8. Data Manipulation/4. Data Manipulation - mutate.mp4 195.3 MB
Data Science Masterclass With R! 4 Projects+8 Case Studies/8. Data Manipulation/5. Data Manipulation - filter.mp4 195.2 MB
Data Science Masterclass With R! 4 Projects+8 Case Studies/28. Principal Component Analysis (PCA)/2. PCA - R Code Implementation.mp4 190.7 MB
Data Science Masterclass With R! 4 Projects+8 Case Studies/16. SUPERVISED LEARNING REGRESSION/4. Linear Regression 4.mp4 188.1 MB
Data Science Masterclass With R! 4 Projects+8 Case Studies/19. K-NN/4. K-NN Case Study.mp4 186.2 MB
Data Science Masterclass With R! 4 Projects+8 Case Studies/25. K-Mean Clustering/3. K-Mean Clustering R Code Implementation.mp4 182.5 MB
Data Science Masterclass With R! 4 Projects+8 Case Studies/28. Principal Component Analysis (PCA)/3. PCA - Case Study.mp4 180.1 MB
Data Science Masterclass With R! 4 Projects+8 Case Studies/10. Introduction To Statistics/12. Intro To Stat - Part 7.mp4 177.0 MB
Data Science Masterclass With R! 4 Projects+8 Case Studies/26. Hierarchical Clustering/2. Hierarchical Clustering R Code Implementation.mp4 176.6 MB
Data Science Masterclass With R! 4 Projects+8 Case Studies/22. Decision Tree/4. Decision Tree Pruning.mp4 174.5 MB

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115GOPRO/GOPR1451.THM 3.7 kB
115GOPRO/GOPR1453.THM 3.8 kB
115GOPRO/GOPR1452.THM 3.9 kB
115GOPRO/GOPR1449.THM 5.2 kB
115GOPRO/GOPR1450.THM 5.8 kB
115GOPRO/GOPR1454.THM 6.6 kB
115GOPRO/GP011450.LRV 226.8 kB
115GOPRO/GOPR1453.LRV 4.3 MB
115GOPRO/GP011450.MP4 7.7 MB
115GOPRO/GOPR1451.LRV 9.8 MB
115GOPRO/GP021449.LRV 17.4 MB
115GOPRO/GOPR1454.LRV 46.0 MB
115GOPRO/GOPR1452.LRV 69.2 MB
115GOPRO/GOPR1449.LRV 95.6 MB
115GOPRO/GOPR1450.LRV 95.6 MB
115GOPRO/GP011449.LRV 95.7 MB
115GOPRO/GOPR1453.MP4 177.0 MB
115GOPRO/GOPR1451.MP4 403.7 MB
115GOPRO/GP021449.MP4 717.9 MB
115GOPRO/GOPR1454.MP4 1.9 GB

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