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【影视】 [Coding Ninjas] Java Foundation with Data Structures & Algorithms (2020) [En]

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DSA1/1.Lecture 1 3a Flowcharts/0.Intro to Flowcharts_1.mp4 190.1 MB
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DSA1/14.Lecture 2 3a OOPS 2/0.Component of OOPS_1.mp4 118.1 MB
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DSA1/3.Lecture3 3a Conditionals and Loops/3.While Loop_1.mp4 105.7 MB
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DSA2/21.Lecture 16 3a DP - 1/0.Fibonacci - 1-1.mkv 70.0 MB
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DSA2/9.Lecture 7 3a Linked List 1/6.Taking Linked List Input.mp4 64.0 MB
DSA2/25.Lecture 20 3a Graphs 2 (Optional)/1.Cycle Detection.mp4 63.2 MB
DSA2/11.Lecture 9 3a Stacks and Queues/1.Stack Using Array.mp4 63.1 MB
DSA1/13.Lecture 1 3a OOPS 1/11.Dynamic Array class .mp4 60.8 MB
DSA1/2.Lecture2 3a Getting Started with Java/13.Operators.mp4 60.7 MB
DSA2/23.Lecture 18 3a OOPS - 3/2.Tic Tac Toe - 2.mp4 60.3 MB
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【压缩文件】 [ DevCourseWeb.com ] Udemy - Data Mining w - Python and NumPy - Build a Video Recommender.zip

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【影视】 [FreeCoursesOnline.Me] [Packt] Big Data Analytics Projects with Apache Spark [FCO]

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5.Social Network Friend Recommendation/22.Finding Closest Friend for Given User Using Page Rank.mp4 123.7 MB
1.Finding Top Selling Product/02.Explaining Ways of Joining Datasets.mp4 76.8 MB
1.Finding Top Selling Product/03.Developing Spark Algorithm for Joining_Windowing Datasets.mp4 42.0 MB
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2.Market Basket Analysis/08.Implementing MBA MapReduce Algorithm in Spark.mp4 30.3 MB
4.Content-Based Recommendation System - Movies/17.Testing Logic in MapReduce Spark.mp4 30.0 MB
5.Social Network Friend Recommendation/21.Solution — Examining Available Methods.mp4 26.6 MB
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1.Finding Top Selling Product/05.Drawing Conclusions from Top Sellers Data.mp4 25.5 MB
1.Finding Top Selling Product/01.The Course Overview.mp4 22.4 MB
4.Content-Based Recommendation System - Movies/18.Finding Recommendation for Given User.mp4 20.6 MB
3.Finding an Author Using Probabilistic Logistic Regression/13.Sentiment Analysis of Posts Using Logistic Regression.mp4 20.4 MB
3.Finding an Author Using Probabilistic Logistic Regression/12.Extracting Information via Spark DataFrame.mp4 20.3 MB
3.Finding an Author Using Probabilistic Logistic Regression/11.Extracting Information from Unstructured Text.mp4 17.3 MB
4.Content-Based Recommendation System - Movies/16.Finding Correlation Between Movies and Users.mp4 16.6 MB
1.Finding Top Selling Product/04.Testing Logic in MapReduce Spark — Finding Top Sellers.mp4 15.0 MB
4.Content-Based Recommendation System - Movies/15.Content-Based Recommendation Systems Explanation.mp4 11.5 MB
3.Finding an Author Using Probabilistic Logistic Regression/14.Finding an Author of a Post.mp4 11.3 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Coding Interview - Master Data Structures & Algorithms 2020.zip

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【影视】 [Tutorialsplanet.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.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.srt 116.8 MB
25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 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
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
25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Neural Nets and Deep Learning/8. Activation Functions.mp4 65.6 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - JMP Training for Statistics & Data Visualization.zip

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【影视】 [FreeCourseSite.com] Udemy - Data Science and Machine Learning Bootcamp with R

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4. Mac OS Installation Set-Up/1. Mac OS Installation Procedure.mp4 74.9 MB
18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4 66.4 MB
19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4 62.6 MB
21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4 62.4 MB
14. Data Manipulation with R/8. Guide to Using Tidyr.mp4 60.5 MB
15. Data Visualization with R/2. Histograms.mp4 59.7 MB
23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4 59.0 MB
20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4 58.3 MB
33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4 57.4 MB
20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4 56.6 MB
22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4 49.9 MB
24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4 49.0 MB
21. Machine Learning Project - Linear Regression/1. Introduction to Linear Regression Project.mp4 48.8 MB
22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4 48.6 MB
1. Course Introduction/4.1 R-Course-HTML-Notes.zip 47.8 MB
6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip 47.8 MB
18. Capstone Data Project/1. Introduction to Capstone Project.mp4 47.7 MB
15. Data Visualization with R/3. Scatterplots.mp4 47.4 MB
12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4 45.5 MB
32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4 44.9 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Data Analysis Bootcamp - Python, Seaborn and Pandas.zip

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[ FreeCourseWeb.com ] Udemy - Data Analysis Bootcamp - Python, Seaborn and Pandas.zip 2.2 GB

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【压缩文件】 [ FreeCourseWeb.com ] EggHead - Quickly Transform Data with Transducers.zip

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【压缩文件】 [ DevCourseWeb.com ] Udemy - Basic Statistics For Data Science By Spotle.zip

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【影视】 [Udemy] Python for Data Science and Machine Learning Bootcamp (2020) [En]

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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.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
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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 ] Lynda - Data Dashboards in Power BI (Updated 3-2020).zip

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[ FreeCourseWeb.com ] Lynda - Data Dashboards in Power BI (Updated 3-2020).zip 1.2 GB

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【影视】 Tableau 2020 A-Z Hands-On Tableau Training for Data Science

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[TutsNode.com] - Tableau 2020/5. Joining, Blending and Relationships; PLUS Dual Axis Charts/10. The Data Model (v2020.2 update).mp4 96.4 MB
[TutsNode.com] - Tableau 2020/9. What's new in Tableau/1. Connecting to PDF.mp4 95.0 MB
[TutsNode.com] - Tableau 2020/5. Joining, Blending and Relationships; PLUS Dual Axis Charts/11. Working with Relationships in Tableau (v2020.2 update).mp4 90.1 MB
[TutsNode.com] - Tableau 2020/8. Clusters, Custom Territories, Design Features/3. Custom Territories Via Groups.mp4 81.1 MB
[TutsNode.com] - Tableau 2020/5. Joining, Blending and Relationships; PLUS Dual Axis Charts/6. Data Blending in Tableau.mp4 79.3 MB
[TutsNode.com] - Tableau 2020/4. Maps, Scatterplots, and Your First Dashboard/8. Adding an Interactive Action - Highlighting.mp4 77.9 MB
[TutsNode.com] - Tableau 2020/8. Clusters, Custom Territories, Design Features/8. Modeling With Clusters.mp4 77.6 MB
[TutsNode.com] - Tableau 2020/5. Joining, Blending and Relationships; PLUS Dual Axis Charts/8. Creating Calculated Fields in a Blend (Advanced Topic).mp4 75.8 MB
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[TutsNode.com] - Tableau 2020/5. Joining, Blending and Relationships; PLUS Dual Axis Charts/7. Dual Axis Chart.mp4 74.8 MB
[TutsNode.com] - Tableau 2020/6. Table Calculations, Advanced Dashboards, Storytelling/11. Creating a Storyline.mp4 73.1 MB
[TutsNode.com] - Tableau 2020/5. Joining, Blending and Relationships; PLUS Dual Axis Charts/1. Section Intro.mp4 73.0 MB
[TutsNode.com] - Tableau 2020/9. What's new in Tableau/3. Joining to Spatial Files.mp4 70.1 MB
[TutsNode.com] - Tableau 2020/3. Time series, Aggregation, and Filters/5. Creating an Area Chart & Learning About Highlighting.mp4 68.7 MB
[TutsNode.com] - Tableau 2020/6. Table Calculations, Advanced Dashboards, Storytelling/10. Analyzing the Customer Segmentation Dashboard .mp4 65.4 MB
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