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【压缩文件】 Mastering Data Science and Machine Learning Fundamentals

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【影视】 [UdemyCourseDownloader] Data Science and Machine Learning Bootcamp with R

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18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4 57.1 MB
19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4 50.9 MB
21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4 50.1 MB
23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4 49.7 MB
14. Data Manipulation with R/8. Guide to Using Tidyr.mp4 49.4 MB
20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4 49.2 MB
33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4 48.5 MB
20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4 48.2 MB
15. Data Visualization with R/2. Histograms.mp4 47.8 MB
01. Course Introduction/4.1 R-Course-HTML-Notes.zip.zip 47.8 MB
06. Development Environment Overview/2.1 R-Course-HTML-Notes.zip.zip 47.8 MB
22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4 42.9 MB
24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4 42.4 MB
22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4 41.5 MB
15. Data Visualization with R/3. Scatterplots.mp4 39.4 MB
12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4 38.5 MB
32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4 37.4 MB
12. R Programming Basics/8. Functions.mp4 36.8 MB
18. Capstone Data Project/1. Introduction to Capstone Project.mp4 36.7 MB
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3. Evaluation Metrics/10. Geometric Mean, Dominance, Index of Imbalanced Accuracy - Demo.mp4 91.0 MB
3. Evaluation Metrics/6. Precision, Recall and F-measure - Demo.mp4 84.2 MB
8. Cost Sensitive Learning/9. Bayes Conditional Risk.mp4 75.5 MB
7. Ensemble Methods/8. Ensemble Methods - Demo.mp4 74.3 MB
7. Ensemble Methods/5. Boosting.mp4 74.0 MB
3. Evaluation Metrics/4. Precision, Recall and F-measure.mp4 70.2 MB
4. Udersampling/3. Random Under-Sampling - Demo.mp4 70.2 MB
9. Probability Calibration/3. Probability Calibration Curves - Demo.mp4 68.0 MB
8. Cost Sensitive Learning/7. Cost Sensitive Learning with Scikit-learn- Demo.mp4 58.8 MB
4. Udersampling/5. Condensed Nearest Neighbours - Demo.mp4 55.3 MB
9. Probability Calibration/9. Calibrating a Classfiier after SMOTE or Under-sampling.mp4 54.5 MB
3. Evaluation Metrics/8. Confusion tables, FPR and FNR - Demo.mp4 51.5 MB
9. Probability Calibration/5. Brier Score - Demo.mp4 51.4 MB
5. Oversampling/6. SMOTE-NC.mp4 50.4 MB
3. Evaluation Metrics/3. Accuracy - Demo.mp4 49.9 MB
4. Udersampling/22. Undersampling Method Comparison.mp4 49.8 MB
7. Ensemble Methods/6. Boosting plus Re-Sampling.mp4 49.6 MB
9. Probability Calibration/8. Calibrating a Classifier - Demo.mp4 49.0 MB
5. Oversampling/10. Borderline SMOTE.mp4 48.4 MB
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【影视】 Code with Mosh - The Ultimate Data Structures & Algorithms Part 1

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7. Hash Tables/19- Solution- Refactoring.mp4 39.8 MB
6. Queues/13- Solution- Building a Priority Queue.mp4 28.5 MB
4. Linked Lists/17- Solution- Reversing a Linked List.mp4 28.2 MB
5. Stacks/12- Solution- Implementing a Stack Using an Array.mp4 26.8 MB
6. Queues/10- Solution- Building a Queue Using a Stack.mp4 25.8 MB
7. Hash Tables/5- Solution- First Non-repeating Character.mp4 24.8 MB
5. Stacks/10- Solution- Second Refactoring.mp4 23.2 MB
6. Queues/7- Solution- A Basic Implementation.mp4 22.1 MB
1. Getting Started/1- Course Outline.mp4 20.0 MB
7. Hash Tables/16- Solution- put().mp4 19.9 MB
7. Hash Tables/3- Working with Hash Tables.mp4 19.7 MB
4. Linked Lists/5- Solution- addLast.mp4 19.7 MB
7. Hash Tables/9- Hash Functions.mp4 18.6 MB
6. Queues/3- Queues in Java.mp4 18.3 MB
4. Linked Lists/19- Solution- Kth Node from the End.mp4 17.7 MB
6. Queues/8- Solution- Circular Arrays.mp4 17.5 MB
5. Stacks/5- Solution - Reversing a String.mp4 17.1 MB
5. Stacks/7- Solution- A Basic Implementation.mp4 16.8 MB
5. Stacks/9- Solution- First Refactoring.mp4 16.1 MB
4. Linked Lists/10- Solution- removeLast().mp4 15.7 MB

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【影视】 Kaggle Masterclass - build a Data Science Portfolio

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[TutsNode.com] - Kaggle Masterclass - build a Data Science Portfolio/8. Project House Price Prediction/3. House Price Prediction using Random Forest.mp4 127.2 MB
[TutsNode.com] - Kaggle Masterclass - build a Data Science Portfolio/10. Project Telco Customer Churn/5. Survival Regression Analysis using Cox Proportional Hazard Regression Model.mp4 81.8 MB
[TutsNode.com] - Kaggle Masterclass - build a Data Science Portfolio/6. Project Titanic - Machine Learning from Disaster/2. Implementing a Model to Predict Survival of Titanic Passengers.mp4 71.3 MB
[TutsNode.com] - Kaggle Masterclass - build a Data Science Portfolio/2. Kaggle Competitions/1. Kaggle Competitions.mp4 59.8 MB
[TutsNode.com] - Kaggle Masterclass - build a Data Science Portfolio/10. Project Telco Customer Churn/2. Telco Customer Churn Pipeline Data Analysis and Visualization.mp4 56.4 MB
[TutsNode.com] - Kaggle Masterclass - build a Data Science Portfolio/9. Theory Survival Regression Analysis/5. Survival Regression - Cox Proportional Hazard Regression Model.mp4 54.8 MB
[TutsNode.com] - Kaggle Masterclass - build a Data Science Portfolio/6. Project Titanic - Machine Learning from Disaster/1. Introduction to the Titanic - Machine Learning from Disaster Competition.mp4 53.2 MB
[TutsNode.com] - Kaggle Masterclass - build a Data Science Portfolio/10. Project Telco Customer Churn/4. Survival Analysis to predict Churn using Kaplan-Meier Estimate.mp4 52.6 MB
[TutsNode.com] - Kaggle Masterclass - build a Data Science Portfolio/8. Project House Price Prediction/2. House Prices Dataset Description.mp4 42.1 MB
[TutsNode.com] - Kaggle Masterclass - build a Data Science Portfolio/7. Project Iris Species Classification/2. Coding an Iris Species Classifier in Sci-kit Learn.mp4 41.7 MB
[TutsNode.com] - Kaggle Masterclass - build a Data Science Portfolio/11. Project Avocado Prices Forecasting/2. Avocado Price Forecasting using Facebook Prophet.mp4 41.1 MB
[TutsNode.com] - Kaggle Masterclass - build a Data Science Portfolio/3. Kaggle Datasets/1. Types of Datasets on Kaggle.mp4 36.1 MB
[TutsNode.com] - Kaggle Masterclass - build a Data Science Portfolio/10. Project Telco Customer Churn/3. Telco Customer Churn Pipeline Data Preprocessing.mp4 34.4 MB
[TutsNode.com] - Kaggle Masterclass - build a Data Science Portfolio/3. Kaggle Datasets/3. Creating a Dataset.mp4 34.2 MB
[TutsNode.com] - Kaggle Masterclass - build a Data Science Portfolio/9. Theory Survival Regression Analysis/2. Censorship.mp4 27.9 MB
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050 - Lambda Overview and Processing.mp4 217.4 MB
051 - AWS Data Pipeline.mp4 202.7 MB
039 - DynamoDB Streams.mp4 189.4 MB
018 - Kinesis Data Firehose Destinations and Creating an Example Delivery Stream.mp4 178.5 MB
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061 - Elasticsearch, Kibana, and AWS Lambda.mp4 150.9 MB
059 - Elasticsearch Clusters and Access Policies.mp4 146.0 MB
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【影视】 [FreeCourseLab.com] Udemy - Python for Finance Investment Fundamentals & Data Analytics

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10. Advanced Python tools/17. Importing and Organizing Data in Python – part II.A.mp4 70.7 MB
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14. PART II Finance - Markowitz Portfolio Optimization/4. Obtaining the Efficient Frontier in Python – Part II.mp4 12.2 MB
14. PART II Finance - Markowitz Portfolio Optimization/1. Markowitz Portfolio Theory - One of the main pillars of modern Finance.mp4 11.4 MB
17. PART II Finance - Monte Carlo simulations as a decision-making tool/17. Monte Carlo Euler Discretization - Part I.mp4 11.4 MB
12. PART II Finance Measuring Investment Risk/3. Calculating a Security’s Risk in Python.mp4 11.3 MB

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【影视】 [FreeCourseSite.com] Udemy - Learn Data structures & Algorithms using Python for Freshers

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15. Graph in Data Structure and Algorithm/26. Kruskal Algorithm - Python Implementation.mp4 203.8 MB
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15. Graph in Data Structure and Algorithm/16. Dijkstra's Algorithm - Python Implementation.mp4 166.3 MB
7. Linked List/9. Singly Linked List - Python Implementation.mp4 163.6 MB
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2. Recursion - Data Structures/9. Search in Binary Search Tree recursive action Implementation in Python.mp4 130.9 MB
7. Linked List/26. Doubly Circular Linked List - Python Implementation.mp4 129.5 MB
7. Linked List/21. Doubly Linked List - Python Implementation.mp4 122.1 MB
11. Heap in Data Structure and Algorithm/10. Heap Tree - - Python Implementation part 2.mp4 103.2 MB
6. Queue - Data Structure/11. Circular Queue - Python Implementation.mp4 87.3 MB
18. Divide and Conquer/8. Convert from one string to another using divide and conquer algorithm.mp4 64.2 MB
8. Tree/13. Binary Tree Traversal - Python Implementation.mp4 61.9 MB
14. Sorting in Data Structure/13. Quick Sort - Python Implementation.mp4 58.5 MB
15. Graph in Data Structure and Algorithm/15. Dijkstra's Algorithm.mp4 58.1 MB
11. Heap in Data Structure and Algorithm/9. Heap Tree - - Python Implementation part 1.mp4 56.6 MB
10. AVL Tree/6. AVL Tree - Insertion, Height, Balance creation - Python Implementation.mp4 53.8 MB
15. Graph in Data Structure and Algorithm/25. Kruskal Algorithm.mp4 51.4 MB

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【影视】 [Udemy] Algorithms Data Structures Coding Interviews with Python (2021) [En]

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17. Cracking the Codes/3. Enigma Cipher.mp4 287.6 MB
18. Mathematical Games/1. Tower of Hanoi.mp4 231.0 MB
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17. Cracking the Codes/1. Caesar Cipher.mp4 108.3 MB
18. Mathematical Games/3. Creating Triangles with Min Path.mp4 98.1 MB
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3. Algorithms Sorting/12. Quick Sort.mp4 72.5 MB
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【压缩文件】 [ FreeCourseWeb.com ] Querying and Shaping Data in Power BI Using M.zip

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6. Leveraging Custom Visuals/7. THANK YOU bonus video.mp4 54.8 MB
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4. Maps, Scatterplots and Interactive BI Reports/6. Power BI Calculated Columns vs Calculated Measures.mp4 33.3 MB
4. Maps, Scatterplots and Interactive BI Reports/1. Joining data in Power BI.mp4 32.8 MB
3. Timeseries, Aggregation, and Filters/1. Downloading and connecting to the dataset.mp4 30.3 MB
6. Leveraging Custom Visuals/1. The Challenge Visualizing the European Debt Crisis.mp4 29.0 MB
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5. Creating an Interactive Business Intelligence Report/8. Controlling Report Interactivity.mp4 28.0 MB
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[ FreeCourseWeb.com ] Matplotlib for Data Visualization with Python.zip 373.9 MB

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【音乐】 GHOST DATA - Void Walker (2019)

收录时间:2021-05-20 文档个数:14 文档大小:170.3 MB 最近下载:2025-05-14 人气:1447 磁力链接

12 Gods of the Artificial.mp3 21.3 MB
13 Dark Harvest.mp3 19.1 MB
11 Textlog Ritual.mp3 17.8 MB
07 Darkened Duchess.mp3 12.6 MB
10 The Black Widow.mp3 12.1 MB
05 Femme Fatale.mp3 11.8 MB
02 Inhuman.mp3 11.7 MB
03 Siren's Call.mp3 11.5 MB
01 Void Walker.mp3 11.5 MB
08 Become God.mp3 11.4 MB
06 Full Bodied (feat. AL!CE).mp3 10.0 MB
09 Agony's Embrace.mp3 9.9 MB
04 Arc Star (feat. Altruist).mp3 9.4 MB
cover.jpg 104.8 kB

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