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- 【影视】 [FreeAllCourse.Com] Udemy - Learning Python for Data Analysis and Visualization
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9. Example Projects/17. Data Project - Election Analysis Part 4.mp4 166.6 MB
10. Machine Learning/16. Decision Trees and Random Forests.mp4 160.4 MB
10. Machine Learning/19. Natural Language Processing Part 3.mp4 156.1 MB
10. Machine Learning/20. Natural Language Processing Part 4.mp4 118.2 MB
10. Machine Learning/9. Logistic Regression Part 4.mp4 102.7 MB
9. Example Projects/12. Data Project - Stock Market Analysis Part 5.mp4 98.5 MB
10. Machine Learning/13. Support Vector Machines - Part 2.mp4 90.0 MB
11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.mp4 82.7 MB
10. Machine Learning/5. Linear Regression Part 4.mp4 82.5 MB
10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4 77.1 MB
10. Machine Learning/6. Logistic Regression Part 1.mp4 75.3 MB
2. Setup/3. iPythonJupyter Notebook Overview.mp4 72.3 MB
10. Machine Learning/4. Linear Regression Part 3.mp4 72.2 MB
10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.mp4 71.1 MB
10. Machine Learning/15. Naive Bayes Part 2.mp4 68.7 MB
10. Machine Learning/12. Support Vector Machines Part 1.mp4 68.1 MB
10. Machine Learning/17. Natural Language Processing Part 1.mp4 65.8 MB
8. Data Visualization/3. Kernel Density Estimate Plots.mp4 64.9 MB
10. Machine Learning/18. Natural Language Processing Part 2.mp4 62.6 MB
10. Machine Learning/2. Linear Regression Part 1.mp4 61.5 MB
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- 【影视】 [FreeCourseWorld.Com] Udemy - 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
6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip.zip 47.8 MB
1. Course Introduction/4.1 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 36.6 MB
9. R Data Frames/5. Overview of Data Frame Operations - Part 2.mp4 35.8 MB
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- 【影视】 [FreeCourseWorld.Com] Udemy - R Programming Advanced Analytics In R For Data Science
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02 Data Preparation/020 Replacing Missing Data Median Imputation Method (Part 1).mp4 65.0 MB
03 Lists in R/027 Project Brief Machine Utilization.mp4 64.8 MB
02 Data Preparation/006 Updates on Udemy Reviews.mp4 61.2 MB
02 Data Preparation/014 An Elegant Way To Locate Missing Data.mp4 59.8 MB
04 Apply Family of Functions/050 THANK YOU bonus video.mp4 54.8 MB
03 Lists in R/029 Handling Date-Times in R.mp4 52.5 MB
04 Apply Family of Functions/037 Welcome to this section. This is what you will learn.mp4 51.9 MB
04 Apply Family of Functions/043 Using lapply().mp4 51.0 MB
02 Data Preparation/004 Welcome to this section. This is what you will learn.mp4 50.1 MB
01 Welcome To The Course/001 Welcome to the Advanced R Programming Course.mp4 48.4 MB
03 Lists in R/035 Creating A Timeseries Plot.mp4 48.1 MB
02 Data Preparation/012 Dealing with Missing Data.mp4 47.8 MB
03 Lists in R/030 R programming What is a List.mp4 46.9 MB
02 Data Preparation/011 gsub() and sub().mp4 46.1 MB
02 Data Preparation/018 Reseting the dataframe index.mp4 46.0 MB
04 Apply Family of Functions/046 Using sapply().mp4 45.7 MB
04 Apply Family of Functions/048 which.max() and which.min() (advanced topic).mp4 42.4 MB
02 Data Preparation/024 Visualizing results.mp4 42.0 MB
03 Lists in R/033 Adding and deleting components.mp4 40.3 MB
02 Data Preparation/008 What are Factors (Refresher).mp4 39.4 MB
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- 【影视】 [Tutorialsplanet.NET] Udemy - Data Structures and Algorithms In C#
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9. Sorting/28. Quick Sort in C#.mp4 59.3 MB
8. Heap/3. Insertion in Heap.mp4 41.7 MB
9. Sorting/19. Shell Sort in C#.mp4 37.8 MB
7. Binary Search Tree/6. Deletion in a Binary Search Tree.mp4 32.4 MB
10. Searching/4. Implementation of Binary Search.mp4 31.7 MB
3. Linked List/10. Merging of sorted Linked lists.mp4 29.9 MB
3. Linked List/12. Finding and Removing a cycle in a Linked list.mp4 27.4 MB
4. Stack and Queue/9. Circular Queue.mp4 26.6 MB
4. Stack and Queue/15. Converting infix expression to postfix expression.mp4 26.5 MB
2. Introduction to Data Structures and Algorithms/5. Finding Big O.mp4 23.5 MB
2. Introduction to Data Structures and Algorithms/9. Finding Time complexity.mp4 22.9 MB
9. Sorting/36. Radix Sort C# implementation and Analysis.mp4 21.8 MB
11. Hashing/9. Implementation of Open Addressing.mp4 21.3 MB
1. Chapter 1/1. Introduction to Data Structures and Algorithms Through C# In Depth.mp4 21.2 MB
11. Hashing/5. Open Addressing Linear Probing.mp4 19.8 MB
2. Introduction to Data Structures and Algorithms/4. Big O Notation.mp4 19.8 MB
8. Heap/4. Deletion.mp4 19.6 MB
3. Linked List/9. Sorting a Linked list using Bubble Sort.mp4 19.5 MB
3. Linked List/11. Sorting a Linked list using Merge Sort.mp4 19.4 MB
4. Stack and Queue/6. Array Implementation of Queue.mp4 19.1 MB
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- 【影视】 Python Beyond Basics for Machine Learning, Data Science, AI
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[TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/12. Case Study with Scikit Learn Library.mp4 431.8 MB
[TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/10. Plotly Library/1. Plotly Library Tutorial.mp4 334.3 MB
[TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/13. Case Study with Scikit Learn Library.mp4 291.5 MB
[TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/4. Python Crash Course/1. Python Crash Course.mp4 266.8 MB
[TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/5. Numpy Library/1. Numpy Library Tutorial 1.mp4 228.6 MB
[TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/8. Matplotlib Library/1. Matplotlib Library Tutorial 1.mp4 214.2 MB
[TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/13. Artificial Intelligence/3. UGV Flow Chart.mp4 125.1 MB
[TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/9. Seaborn Library/2. Seaborn Library Tutorial 2.mp4 119.4 MB
[TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/5. Numpy Library/3. Numpy Library Tutorial 3.mp4 114.2 MB
[TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/3. Python Advance Concept/1. Collection Module.mp4 96.1 MB
[TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/1. Introduction of Course/5. Data Science Introduction.mp4 93.9 MB
[TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/6. Case Study with Logistic Regression.mp4 92.5 MB
[TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/10. Case Study with KNN Algorithm.mp4 91.2 MB
[TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/2. Case Study of Suicides in India 2001-2012.mp4 91.1 MB
[TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/9. Seaborn Library/1. Seaborn Library Tutorial 1.mp4 86.1 MB
[TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/5. Numpy Library/2. Numpy Library Tutorial 2.mp4 82.9 MB
[TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/4. Case Study of Titanic Dataset.mp4 78.9 MB
[TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/5. Numpy Library/4. Numpy Library Tutorial 4.mp4 75.8 MB
[TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/7. Case Study with Support Vector Machines (SVM).mp4 74.8 MB
[TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/8. Matplotlib Library/4. Matplotlib Library Tutorial 4.mp4 73.1 MB
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- 【影视】 [DesireCourse.Net] Udemy - Data Science Natural Language Processing (NLP) in Python
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11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.5 MB
10. Machine Learning Basics Review/3. (Review) Classification in Code.mp4 146.3 MB
3. Decrypting Ciphers/4. Genetic Algorithms.mp4 110.3 MB
11. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
7. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.mp4 82.0 MB
5. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ.mp4 81.5 MB
10. Machine Learning Basics Review/2. (Review) What is Classification.mp4 74.1 MB
10. Machine Learning Basics Review/5. (Review) Regression in Code.mp4 72.7 MB
3. Decrypting Ciphers/3. Language Models.mp4 68.8 MB
10. Machine Learning Basics Review/9. (Review) Comparing Different Machine Learning Models.mp4 56.2 MB
10. Machine Learning Basics Review/4. (Review) What is Regression.mp4 52.0 MB
10. Machine Learning Basics Review/1. (Review) Machine Learning Section Introduction.mp4 47.0 MB
11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
5. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression.mp4 45.7 MB
3. Decrypting Ciphers/11. Code pt 5.mp4 42.9 MB
10. Machine Learning Basics Review/10. (Review) Machine Learning and Deep Learning Future Topics.mp4 42.9 MB
4. Build your own spam detector/4. Naive Bayes Concepts.mp4 41.6 MB
3. Decrypting Ciphers/12. Code pt 6.mp4 41.3 MB
3. Decrypting Ciphers/8. Code pt 2.mp4 41.0 MB
11. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
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- 【影视】 Data Scientist
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收录时间:2021-03-18
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1. Базовые инструменты анализа данных в Python/DataScientist-2018-08 - 23.08.2018.mp4 1.1 GB
3. Необходимые понятия из теории вероятности/DataScientist-2018-08 lesson 3.mp4 831.2 MB
11. Обучение без учителя. Методы уменьшения размерности/DataScientist-2018-08 - Методы понижения размерности.mp4 784.5 MB
4. Линейная регрессия/DataScientist-2018-06 dlecture 4.mp4 770.9 MB
18 Анализ текстовых данных Часть 1/DataScientist-2018-08 NLP 1.mp4 735.4 MB
2. Необходимые понятия из мат. анализа и линейной алгебры/DataScientist-2018-08 - 31.08.2018.mp4 694.6 MB
5. Визуализация/DataScientist-2018-08 Визуализация данных 15.09.18.mp4 614.2 MB
8. kMeans, EM алгоритм/DataScientist-2018-08 Clustering-1 25.09.18.mp4 523.5 MB
25 Простейшие нейронные сети и метод обратного распространения ошибки/DataScientist-2018-08-Нейронные сети 1.mp4 509.4 MB
7. Метод ближайших соседей (kNN)/DataScientist-2018-08 - KNN 22.09.18.mp4 445.5 MB
6. Обучение с учителем. Логистическая регрессия/Data Scientist-2018-08 -Logistic Regression 19.09.18.mp4 442.1 MB
20 Рекомендательные системы/DataScientist-2018-08 Recommendations 09.11.18.mp4 438.6 MB
10. Иерархическая кластеризация, DB-Scan/DataScientist-2018-08 Кластеризация 2 02.10.18.mp4 424.9 MB
13. Обучение с учителем. Ансамбли моделей/DataScientist-201-08 Ensemble-1 13.10.2018.mp4 407.5 MB
28 Сверточные нейронные сети ч 2/DataScientist-2018-08-Нейронные сети 4.mp4 379.0 MB
27 Сверточные нейронные сети ч 1/DataScientist-2018-08-НС_3.mp4 361.2 MB
17 Поиск выбросов в данных/DataScientist-2018-08 Избавление от выбросов 30.10.18.mp4 355.8 MB
22 Алгоритмы на графах/DataScientist-2018-08 Graphs 16.11.18.mp4 339.8 MB
29 Рекуррентные сети ч 1/DataScientist-2018-08-HC_4.mp4 332.7 MB
26 Обучение нейронных сетей/DataScientist-2018-08-Нейронные сети 2.mp4 320.6 MB
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- 【影视】 [GigaCourse.com] Udemy - Complete Linear Algebra for Data Science & Machine Learning
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04 Matrices and Systems of Linear Equations/024 Row Echelon Form (REF).mp4 187.9 MB
04 Matrices and Systems of Linear Equations/023 Elementary Row Operations.mp4 171.1 MB
04 Matrices and Systems of Linear Equations/020 The Online Matrix Calculator A FREE Tool.mp4 88.2 MB
03 Basics of Matrices (Continued)/012 Multiplication of two Matrices.mp4 85.6 MB
07 Inverse of a Matrix/042 Inverse of a 3x3 Matrix - Gauss-Jordan Elimination Method.mp4.part 72.8 MB
06 Determinant of a Matrix/033 Determinant of a 3x3 Matrix.mp4 72.3 MB
04 Matrices and Systems of Linear Equations/025 Reduced Row Echelon Form (RREF).mp4 70.8 MB
07 Inverse of a Matrix/041 Inverse of a 3x3 Matrix - The Co-factor Method.mp4 69.1 MB
02 Basics of Matrices/006 Solving Linear Systems in 2 Unknowns - 005.mp4 57.2 MB
03 Basics of Matrices (Continued)/019 SUMMARY.mp4 57.1 MB
01 Welcome and Introduction/001 Welcome and Introduction.mp4 51.5 MB
03 Basics of Matrices (Continued)/016 Using Matrices to Solve Simultaneous Linear Equations.mp4 45.4 MB
03 Basics of Matrices (Continued)/017 EXAMPLE - Using Matrices to Solve Simultaneous Linear Equations.mp4 39.9 MB
05 Matrix Algebra and Operations/029 Matrix Algebra - Matrix Multiplication.mp4 35.0 MB
07 Inverse of a Matrix/038 Importance of Inverse in solving Linear Systems.mp4 33.6 MB
02 Basics of Matrices/007 Solving Linear Systems in 3 Unknowns - 006.mp4 31.5 MB
06 Determinant of a Matrix/032 Determinant of a 2x2 Matrix.mp4 31.1 MB
03 Basics of Matrices (Continued)/010 Addition and Subtraction of Matrices.mp4 30.0 MB
03 Basics of Matrices (Continued)/009 Types of Matrices.mp4 27.8 MB
04 Matrices and Systems of Linear Equations/021 Systems of Linear Equations.mp4 23.5 MB
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- 【影视】 [FreeAllCourse.Com] Udemy - Microsoft Excel - Data Analysis with Excel Pivot Tables
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7. Excel Pivot Table Case Studies/19. Pivot Table Demo Analyzing Apple App Store Data.mp4 218.4 MB
7. Excel Pivot Table Case Studies/21. Pivot Table Demo Analyzing Wine Tasting Scores.mp4 200.4 MB
3. Formatting Data with Pivot Tables/8. Applying Advanced Conditional Formats to Pivot Tables.mp4 71.6 MB
2. Excel Pivot Table 101/11. Removing & Reviving Data from the Pivot Table Cache.mp4 61.9 MB
7. Excel Pivot Table Case Studies/2.3 PivotTable Case Studies_COMPLETE.xlsx.xlsx 51.6 MB
7. Excel Pivot Table Case Studies/13. Pivot Table Demo Exploring San Diego Burrito Ratings.mp4 46.6 MB
7. Excel Pivot Table Case Studies/17. Pivot Table Demo Analyzing Spartan Race Facebook Posts.mp4 39.1 MB
7. Excel Pivot Table Case Studies/5. Pivot Table Demo Analyzing San Francisco Salary Data.mp4 38.7 MB
7. Excel Pivot Table Case Studies/9. Pivot Table Demo Analyzing Stock Market Data.mp4 38.6 MB
7. Excel Pivot Table Case Studies/11. Pivot Table Demo Analyzing Major League Baseball Teams.mp4 35.6 MB
7. Excel Pivot Table Case Studies/15. Pivot Table Demo Tracking Daily Weather Conditions.mp4 32.3 MB
7. Excel Pivot Table Case Studies/2.1 PivotTable Case Studies.xlsx.xlsx 30.5 MB
2. Excel Pivot Table 101/10. PRO TIP Dealing with Growing Source Data.mp4 29.4 MB
6. Visualizing Data with Excel Pivot Charts/11. Building Dynamic Dashboards with Pivot Tables & Pivot Charts.mp4 28.7 MB
7. Excel Pivot Table Case Studies/3. Pivot Table Demo Analyzing U.S. Voter Demographics.mp4 28.0 MB
2. Excel Pivot Table 101/9. Refreshing & Updating Pivot Tables.mp4 26.9 MB
7. Excel Pivot Table Case Studies/7. Pivot Table Demo Exploring Shark Attack Records.mp4 24.4 MB
4. Sorting, Filtering & Grouping Data with Pivot Tables/3. Filtering Data with Pivot Table Label & Selection Filters.mp4 22.1 MB
5. Enriching Data with Pivot Table Calculated Values & Fields/9. Calculating Pivot Table Values Index.mp4 21.4 MB
3. Formatting Data with Pivot Tables/6. Applying Basic Conditional Formats to Pivot Tables.mp4 19.5 MB
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- 【影视】 GetFreeCourses.Co-Udemy-The Complete Introduction to Data Analytics with Tableau
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5. Project 4 Northwind Trade (Shipping Analytics)/3. Building Charts on Tableau for Northwind Trade.mp4 212.8 MB
4. Project 3 Superstore (Sales Agent Tracker)/3. Building Charts on Tableau (Part 1) for Super Store.mp4 197.9 MB
4. Project 3 Superstore (Sales Agent Tracker)/2. Connecting and Preparing Data for Super Store.mp4 150.7 MB
3. Project 2 Green Destinations (HR Analytics)/3. Building Charts on Tableau (Part 1) for Green Destinations.mp4 149.6 MB
4. Project 3 Superstore (Sales Agent Tracker)/4. Building Charts on Tableau (Part 2) for Super Store.mp4 143.6 MB
2. Project 1 Discount Mart (Sales and Profit Analytics)/3. Building Charts on Tableau for Discount Mart (Part 1).mp4 139.2 MB
6. Project 5 Tesla (Stock Price Analytics)/4. Building Charts on Tableau for Tesla.mp4 133.4 MB
4. Project 3 Superstore (Sales Agent Tracker)/5. Building a Dashboard.mp4 126.6 MB
2. Project 1 Discount Mart (Sales and Profit Analytics)/2. Connecting and Preparing Data for Discount Mart.mp4 100.2 MB
5. Project 4 Northwind Trade (Shipping Analytics)/2. Connecting and Preparing Data for Northwind Trade.mp4 91.1 MB
2. Project 1 Discount Mart (Sales and Profit Analytics)/4. Building Charts on Tableau for Discount Mart (Part 2).mp4 85.9 MB
3. Project 2 Green Destinations (HR Analytics)/6. Building a Dashboard for Green Destinations.mp4 84.0 MB
2. Project 1 Discount Mart (Sales and Profit Analytics)/6. Building and Publishing Dashboards on Tableau.mp4 83.4 MB
3. Project 2 Green Destinations (HR Analytics)/5. Creating Headline Cards on Tableau.mp4 80.7 MB
5. Project 4 Northwind Trade (Shipping Analytics)/4. Building and Publishing Dashboards for Northwind Trade.mp4 68.2 MB
6. Project 5 Tesla (Stock Price Analytics)/6. Building a Tesla Dashboard.mp4 53.2 MB
1. Introduction to the Course/2. What is Tableau An Introduction to Tableau..mp4 48.4 MB
3. Project 2 Green Destinations (HR Analytics)/4. Building Charts on Tableau (Part 2) for Green Destinations.mp4 43.8 MB
3. Project 2 Green Destinations (HR Analytics)/2. Connecting and Preparing Data for Green Destinations.mp4 43.2 MB
1. Introduction to the Course/1. Introduction to the Course.mp4 42.4 MB
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- 【影视】 [FreeAllCourse.Com] Udemy - Complete Machine Learning and Data Science Zero to Mastery
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5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
9. Scikit-learn Creating Machine Learning Models/39. Tuning Hyperparameters.mp4 184.1 MB
14. Neural Networks Deep Learning/32. Training Your Deep Neural Network.mp4 174.7 MB
16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4 168.8 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/7. Feature Engineering.mp4 166.9 MB
9. Scikit-learn Creating Machine Learning Models/45. Putting It All Together.mp4 166.0 MB
14. Neural Networks Deep Learning/34. Make And Transform Predictions.mp4 162.5 MB
14. Neural Networks Deep Learning/21. Turning Data Into Batches 2.mp4 156.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Turning Data Into Numbers.mp4 153.3 MB
5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
14. Neural Networks Deep Learning/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
9. Scikit-learn Creating Machine Learning Models/15. Choosing The Right Model For Your Data.mp4 150.2 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Feature Importance.mp4 149.2 MB
14. Neural Networks Deep Learning/41. Making Predictions On Test Images.mp4 147.7 MB
14. Neural Networks Deep Learning/40. Training Model On Full Dataset.mp4 146.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/17. Preproccessing Our Data.mp4 146.1 MB
11. Milestone Project 1 Supervised Learning (Classification)/9. Finding Patterns 3.mp4 144.6 MB
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10. Machine Learning/16. Decision Trees and Random Forests.mp4 160.4 MB
10. Machine Learning/19. Natural Language Processing Part 3.mp4 97.0 MB
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10. Machine Learning/20. Natural Language Processing Part 4.mp4 70.4 MB
10. Machine Learning/18. Natural Language Processing Part 2.mp4 62.6 MB
10. Machine Learning/17. Natural Language Processing Part 1.mp4 46.0 MB
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9. Example Projects/12. Data Project - Stock Market Analysis Part 5.mp4 38.6 MB
10. Machine Learning/13. Support Vector Machines - Part 2.mp4 37.7 MB
10. Machine Learning/9. Logistic Regression Part 4.mp4 37.0 MB
10. Machine Learning/5. Linear Regression Part 4.mp4 32.4 MB
11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.mp4 32.2 MB
10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4 32.1 MB
2. Setup/2. IDEs and Course Resources.mp4 31.8 MB
10. Machine Learning/4. Linear Regression Part 3.mp4 28.5 MB
8. Data Visualization/3. Kernel Density Estimate Plots.mp4 28.4 MB
10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.mp4 28.1 MB
9. Example Projects/1. Data Projects Preview.mp4 27.1 MB
10. Machine Learning/6. Logistic Regression Part 1.mp4 26.2 MB
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6. Advanced Visualization/10. BONUS Building Dashboards in Python.mp4 87.6 MB
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6. Advanced Visualization/11. BONUS Styling Tips.mp4 74.5 MB
4. Matrices/4. Dictionaries in Python.mp4 73.5 MB
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5. Data Frames/5. Basic operations with a Data Frame.mp4 44.5 MB
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5. Recursive Structures/19. Balancing Binary Trees.mp4 471.6 MB
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5. Recursive Structures/14. Binary Tree.mp4 376.2 MB
8. Spatial Data Structures/26. KD-Trees.mp4 355.5 MB
2. Fundamentals/4. Analysis Techniques.mp4 353.2 MB
2. Fundamentals/5. Design Principles for Data Structures.mp4 350.3 MB
4. Pointer Structures/10. Linked Lists.mp4 331.2 MB
5. Recursive Structures/15. Implementation of Remove.mp4 299.3 MB
3. Ubiquitous Lists/9. Project - Moving Average _ Stdev.mp4 278.3 MB
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3. Ubiquitous Lists/6. Using lists to Implement Stack.mp4 247.7 MB
4. Pointer Structures/13. Prefix Tree.mp4 247.4 MB
7. Graph Representation/23. Graphs with Adjacency Matrices.mp4 245.1 MB
5. Recursive Structures/18. Binary Tree Extension.mp4 243.6 MB
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6. Heap-based Structures/21. Project - Huffman Encoded.mp4 193.1 MB
6. Heap-based Structures/22. Binary Heap.mp4 172.5 MB
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12 Serving a Tensorflow Model through a Website/195 Styling an HTML Canvas.mp4 327.6 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/038 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 317.0 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/167 Use the Model to Make Predictions.mp4 314.6 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/040 How to Create 3-Dimensional Charts.mp4 308.6 MB
12 Serving a Tensorflow Model through a Website/196 Drawing on an HTML Canvas.mp4 305.1 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/166 Use Regularisation to Prevent Overfitting_ Early Stopping & Dropout Techniques.mp4 301.0 MB
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12 Serving a Tensorflow Model through a Website/202 Adding the Game Logic.mp4 299.9 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/039 Understanding the Learning Rate.mp4 294.2 MB
08 Test and Evaluate a Naive Bayes Classifier_ Part 3/141 Visualising the Decision Boundary.mp4 290.8 MB
08 Test and Evaluate a Naive Bayes Classifier_ Part 3/146 A Naive Bayes Implementation using SciKit Learn.mp4 283.7 MB
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