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【压缩文件】 Data Analysis in R Analyzing NFL data

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【影视】 [Tutorialsplanet.NET] Udemy - Build a Data Analysis Library from Scratch in Python

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4. DataFrame Construction/1. Check DataFrame Constructor Input Types.mp4 397.7 MB
1. Project Genesis/2. Pandas Cub Examples.mp4 266.1 MB
2. Environment Setup/4. Installing an IPython Kernel for Jupyter.mp4 255.5 MB
9. Other Methods and Operators/6. Arithmetic and Comparison Operators.mp4 216.2 MB
6. Subset Selection/10. Create a New Column.mp4 195.7 MB
11. Documentation, Strings, and Reading CSVs/2. String-only Methods.mp4 172.9 MB
2. Environment Setup/2. Setting up the Development Environment.mp4 165.2 MB
3. Getting Ready to Code/3. Manually Test in a Jupyter Notebook.mp4 156.9 MB
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4. DataFrame Construction/3. Convert Unicode Arrays to Object.mp4 149.3 MB
9. Other Methods and Operators/3. Non-Aggregation Methods.mp4 147.7 MB
2. Environment Setup/3. Test-Driven Development.mp4 146.7 MB
9. Other Methods and Operators/8. The sample Method.mp4 137.9 MB
5. Basic Properties and Visual Representation/5. Visual Notebook Representation.mp4 137.3 MB
6. Subset Selection/6. Select Rows as Booleans, Lists, or Slices.mp4 134.0 MB
5. Basic Properties and Visual Representation/3. Set New Column Names.mp4 133.5 MB
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【影视】 Apache Spark with Scala Hands on With Big Data

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Udemy - Apache Spark with Scala Hands on With Big Data/03 Spark Basics and Simple Examples/016 Activity Running the Minimum Temperature Example and Modifying it for Maximum.mp4 69.3 MB
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Udemy - Apache Spark with Scala Hands on With Big Data/02 Scala Crash Course/004 Activity Scala Basics Part 1.mp4 64.5 MB
Udemy - Apache Spark with Scala Hands on With Big Data/09 Intro to GraphX/050 GraphX Pregel and Breadth-First-Search with Pregel..mp4 63.2 MB
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【影视】 Udemy-The.Complete.Data.Structures.and.Algorithms.Course.in.Python

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40. Cracking Trees and Graphs Top Interview Questions (Apple, Amazon, Facebook)/15. Solution to Build Order.mp4 140.8 MB
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22. Tree Binary Tree/15. Delete a node from Binary Tree (Linked List).mp4 98.7 MB
20. Queue/5. Circular Queue - Python List, Operations (enqueue, dequeue, peek, delete).mp4 98.2 MB
25. Binary Heap/4. Extract a node from Binary Heap.mp4 95.2 MB
12. Dictionaries/8. Dictionary Methods.mp4 92.0 MB
28. Sort Algorithms/9. Quick Sort.mp4 89.1 MB
40. Cracking Trees and Graphs Top Interview Questions (Apple, Amazon, Facebook)/7. Solution to List of Depths.mp4 81.9 MB
12. Dictionaries/9. Dictionary operations built in functions.mp4 81.5 MB
23. Binary Search Tree/4. Traverse BST.mp4 79.0 MB
25. Binary Heap/3. Insert a node in Binary Heap.mp4 78.7 MB
5. Big O Notation/3. Time complexity examples.mp4 75.8 MB
15. Circular Singly Linked List/9. Delete Method in Circular Singlu Linked List.mp4 75.4 MB
20. Queue/3. Queue using Python List - no size limit , operations (enqueue, dequeue, peek).mp4 75.0 MB
24. AVL Tree/12. Delete a node from AVL (method).mp4 71.5 MB
17. Circular Doubly Linked List/10. Deletion Method in Circular Doubly Linked List.mp4 70.6 MB
2. Recursion/6. How to write Recursion in 3 steps.mp4 69.2 MB
23. Binary Search Tree/6. Delete a node from BST.mp4 67.7 MB
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Runtime.Software.RAID.Reconstructor.v4.32.MERRY.CHRISTMAS-DVT/dvt-blue.png 2.4 MB
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Runtime.Software.RAID.Recovery.for.Windows.v2.30.MERRY.CHRISTMAS-DVT/dvt-green.png 2.2 MB
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【压缩文件】 [ FreeCourseWeb.com ] PluralSight - Enterprise Data Centers for Cisco CCDP ARCH (300-320).zip

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【文档书籍】 [ FreeCourseWeb.com ] Proceedings of Data Analytics and Management - ICDAM 2023, Volume 4

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【压缩文件】 [ FreeCourseWeb.com ] Data Engineering Nanodegree v1.0.0.zip

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【影视】 Regression Analysis in R for Machine Learning & Data Science

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07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/005 Lab_ Machine Learning Models' Comparison & Best Model Selection.mp4 106.2 MB
07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/004 Lab_ Random Forest in R.mp4 105.0 MB
06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/002 Lab_ Polynomial regression in R.mp4 68.1 MB
05 More types of regression models/001 Lab_ Multiple linear regression - model estimation.mp4 63.1 MB
05 More types of regression models/005 ANOVA - Categorical variables with more than two levels in linear regressions.mp4 57.2 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/003 Your first linear regression model in R.mp4 55.9 MB
07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/002 Lab_ Decision Trees in R.mp4 54.5 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/001 Overview of Regression Analysis.mp4 51.5 MB
01 Introduction to the course, Machine Learning & Regression Analysis/002 Introduction to Regression Analysis.mp4 51.5 MB
03 R Crash Course - get started with R-programming in R-Studio/006 Lab_ data types and data structures in R.mp4 50.4 MB
02 Software used in this course R-Studio and Introduction to R/006 Lab_ Get started with R in RStudio.mp4 50.0 MB
06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/005 Lab_ Generalized additive models in R.mp4 49.8 MB
06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/004 Lab_ Spline regression in R.mp4 49.2 MB
05 More types of regression models/003 Lab_ Multiple linear regression with interaction.mp4 46.7 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/006 Lab_ Linear Regression Diagnostics.mp4 45.3 MB
02 Software used in this course R-Studio and Introduction to R/004 Lab_ Install R and RStudio in 2020.mp4 40.6 MB
03 R Crash Course - get started with R-programming in R-Studio/007 Vectors' operations in R.mp4 37.7 MB
01 Introduction to the course, Machine Learning & Regression Analysis/003 What is Machine Leraning and it's main types_.mp4 36.0 MB
03 R Crash Course - get started with R-programming in R-Studio/012 Read Data into R.mp4 33.5 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/010 Prediction model evaluation with data split_ out-of-sample RMSE.mp4 32.7 MB

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【影视】 [DesireCourse.Net] Udemy - Python for Data Science and Machine Learning Bootcamp

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25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.srt 150.6 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.8 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 90.7 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
18. K Nearest Neighbors/4. KNN Project Solutions.mp4 74.3 MB
26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 74.2 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 74.1 MB
25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB

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【压缩文件】 [ FreeCourseWeb.com ] Data-Driven Presentations with Excel and PowerPoint (365 - 2019).zip

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