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- 【影视】 [ CourseBoat.com ] Udemy - Data Analyst Business Intelligence - Python,BI,Tableau,SQL
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~Get Your Files Here !/2. Data Analysis and Visualisation with Python and Pandas/6. Performing Data Cleaning.mp4 123.7 MB
~Get Your Files Here !/5. Connecting Power BI to Data Source/3. Clean and transform data Part 2.mp4 81.8 MB
~Get Your Files Here !/12. Data Exploration Asking questions from data with SQL/8. Number of people vaccinated.mp4 75.5 MB
~Get Your Files Here !/11. SQL Server Setup/10. Data Preparation.mp4 75.2 MB
~Get Your Files Here !/2. Data Analysis and Visualisation with Python and Pandas/9. Quantitative Data Visualisation.mp4 65.8 MB
~Get Your Files Here !/11. SQL Server Setup/5. Install SQL Server.mp4 65.6 MB
~Get Your Files Here !/8. Data Modelling with Power BI/3. Creating Calculated Columns.mp4 63.0 MB
~Get Your Files Here !/10. Data Analysis and Visualisation with Tableau/2. Join related data sources.mp4 59.8 MB
~Get Your Files Here !/8. Data Modelling with Power BI/2. Creating and managing Data Relationships.mp4 59.7 MB
~Get Your Files Here !/7. Transforming Data with Power BI and Power Query/14. Transform less structured data.mp4 57.8 MB
~Get Your Files Here !/2. Data Analysis and Visualisation with Python and Pandas/4. Manipulating Pandas DataFrame.mp4 56.0 MB
~Get Your Files Here !/7. Transforming Data with Power BI and Power Query/7. Removing and Reordering Columns.mp4 54.1 MB
~Get Your Files Here !/12. Data Exploration Asking questions from data with SQL/2. Possibility of dying from COVID.mp4 53.5 MB
~Get Your Files Here !/9. Tableau Setup/4. Tableau Public Desktop Overview Part 2.mp4 53.4 MB
~Get Your Files Here !/2. Data Analysis and Visualisation with Python and Pandas/8. Qualitative Data Visualisation.mp4 52.0 MB
~Get Your Files Here !/7. Transforming Data with Power BI and Power Query/16. Query Parameters.mp4 51.4 MB
~Get Your Files Here !/7. Transforming Data with Power BI and Power Query/10. Connecting to files in a folder.mp4 49.3 MB
~Get Your Files Here !/10. Data Analysis and Visualisation with Tableau/4. Cleaning data.mp4 49.1 MB
~Get Your Files Here !/7. Transforming Data with Power BI and Power Query/9. Creating Conditional Columns.mp4 48.5 MB
~Get Your Files Here !/7. Transforming Data with Power BI and Power Query/11. Appending Queries.mp4 47.8 MB
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- 【影视】 [ TutGator.com ] CBTNuggets - Python Foundations for Data Analysis
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~Get Your Files Here !/34. Code Challenge.mp4 179.9 MB
~Get Your Files Here !/37. List Methods.mp4 171.1 MB
~Get Your Files Here !/41. Data Analysis Preview with pandas.mp4 166.1 MB
~Get Your Files Here !/36. Lists.mp4 155.7 MB
~Get Your Files Here !/3. Installing Google Colab.mp4 138.8 MB
~Get Your Files Here !/26. Functions and If Statements.mp4 133.0 MB
~Get Your Files Here !/25. Python Operators.mp4 127.4 MB
~Get Your Files Here !/33. While Loops.mp4 118.2 MB
~Get Your Files Here !/22. String Methods.mp4 118.1 MB
~Get Your Files Here !/16. Math with Python.mp4 112.4 MB
~Get Your Files Here !/27. Python Scope.mp4 109.4 MB
~Get Your Files Here !/15. Math Operators.mp4 109.3 MB
~Get Your Files Here !/21. Indexing and Slicing Strings.mp4 108.6 MB
~Get Your Files Here !/32. For Loops.mp4 107.5 MB
~Get Your Files Here !/40. Code Challenge.mp4 106.2 MB
~Get Your Files Here !/31. If, elif, and else.mp4 104.2 MB
~Get Your Files Here !/39. Dictionary Methods.mp4 98.8 MB
~Get Your Files Here !/14. Variables.mp4 97.3 MB
~Get Your Files Here !/28. Pseudocode.mp4 93.9 MB
~Get Your Files Here !/12. Code Challenge.mp4 91.7 MB
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- 【影视】 [CourseClub.Me] Coursera - Data Science Foundations Data Structures and Algorithms Specialization
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收录时间:2024-01-07
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2. Trees and Graphs Basics/Week 2/3. Depth First Search.mp4 218.0 MB
3. Dynamic Programming, Greedy Algorithms/Week 1/3. Karatsuba’s Multiplication Algorithm.mp4 189.7 MB
1/Week 1/2. An Introduction Through the Insertion Sort Algorithm.mp4 178.2 MB
3. Dynamic Programming, Greedy Algorithms/Week 2/4. Knapsack Problem.mp4 176.6 MB
1/Week 1/4. Asymptotic Notation.mp4 171.2 MB
1/Week 1/3. Time and Space Complexity.mp4 171.2 MB
3. Dynamic Programming, Greedy Algorithms/Week 2/1. Introduction to Dynamic Programming + Rod Cutting Problem.mp4 168.5 MB
1/Week 3/4. Analysis of Quicksort Algorithm.mp4 168.1 MB
3. Dynamic Programming, Greedy Algorithms/Week 3/3. Prefix Codes.mp4 165.4 MB
2. Trees and Graphs Basics/Week 1/2. Binary Search Trees -- Insertion and Deletion.mp4 161.4 MB
2. Trees and Graphs Basics/Week 3/3. Spanning Trees and Minimal Spanning Trees with Applications.mp4 157.0 MB
1/Week 1/1. What is an Algorithm.mp4 152.6 MB
3. Dynamic Programming, Greedy Algorithms/Week 2/6. Dynamic Programming Longest Common Subsequence.mp4 146.3 MB
1/Week 3/3. Detailed Design of Partitioning Schemes.mp4 143.5 MB
3. Dynamic Programming, Greedy Algorithms/Week 2/2. Rod Cutting Problem Memoization.mp4 134.0 MB
3. Dynamic Programming, Greedy Algorithms/Week 1/2. Max Subarray Problem Using Divide and Conquer.mp4 130.8 MB
3. Dynamic Programming, Greedy Algorithms/Week 3/2. Greedy Interval Scheduling.mp4 130.4 MB
3. Dynamic Programming, Greedy Algorithms/Week 3/1. Introduction to Greedy Algorithms.mp4 109.8 MB
2. Trees and Graphs Basics/Week 1/1. Binary Search Trees -- Introduction and Properties.mp4 108.7 MB
3. Dynamic Programming, Greedy Algorithms/Week 3/5. Huffman Codes Proof of Optimality.mp4 104.1 MB
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- 【影视】 Machine Learning and Data Science Hands-on with Python and R
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收录时间:2024-01-07
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Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/107. Tensorflow-Playground.mp4 143.3 MB
Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/14. Getting started with Anaconda.mp4 142.8 MB
Machine Learning and Data Science Hands-on with Python and R/10. Natural Language Processing (NLP) Tutorials/6. Replacing Contractions.mp4 141.6 MB
Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/108. Average of Quarter Denationalization.mp4 133.1 MB
Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/55. Creating a Graph for Kmeans Clustering.mp4 132.8 MB
Machine Learning and Data Science Hands-on with Python and R/3. Machine Learning Project #1 - Shipping and Time Estimation/8. Assigning a Training Set.mp4 131.3 MB
Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/54. Example of Kmeans Dataset.mp4 128.6 MB
Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/126. More on Rstudio in Market Analysis.mp4 128.5 MB
Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/85. R Type Model.mp4 127.2 MB
Machine Learning and Data Science Hands-on with Python and R/4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/3. Checking the Function Argument.mp4 127.1 MB
Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/79. Numeric Hosing Data.mp4 126.1 MB
Machine Learning and Data Science Hands-on with Python and R/3. Machine Learning Project #1 - Shipping and Time Estimation/13. Normalization and Discretization.mp4 125.3 MB
Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/117. Example of Dataset Boosting in Gradient Continues.mp4 118.7 MB
Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/58. Grid.mp4 116.2 MB
Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/19. Arrays.mp4 115.7 MB
Machine Learning and Data Science Hands-on with Python and R/13. BIP - Business Intelligence Publisher using Siebel/8. Showing Report Views on Application.mp4 115.4 MB
Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/52. Pairplot.mp4 115.1 MB
Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/23. Universal Functions.mp4 114.9 MB
Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/101. Forecasting Using Stock Price.mp4 114.2 MB
Machine Learning and Data Science Hands-on with Python and R/7. Machine Learning Project #5 - Fraud Detection in Credit Payments/10. VRS.mp4 112.7 MB
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- 【影视】 Udemy-The.Complete.Data.Structures.and.Algorithms.Course.in.Python
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7. Arrays/11. One Dimensional Array Practice.mp4 160.9 MB
40. Cracking Trees and Graphs Top Interview Questions (Apple, Amazon, Facebook)/15. Solution to Build Order.mp4 140.8 MB
24. AVL Tree/9. Insert a node in AVL (method).mp4 101.1 MB
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
24. AVL Tree/3. Common Operations on AVL Trees.mp4 67.5 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Azure Data Factory For Data Engineers - Project on Covid19
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收录时间:2024-01-06
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15 - Continuous Integration Continuous Delivery CICD/127 - Option 1 Pre and Post Deployment Tasks.mp4 151.4 MB
7 - Data Flows Hospital Admissions Data Transformation/68 - Create ADF Pipeline Assignment.mp4 113.9 MB
13 - Monitoring/107 - Log Analytics Further capabilities.mp4 111.8 MB
6 - Data Flows Cases Deaths Data Transformation/46 - Transformation Requirement Overview.mp4 94.8 MB
10 - Data Bricks Activity/86 - Create ADF Pipeline Databricks Notebook Activity.mp4 92.8 MB
9 - HDInsight Activity/73 - Create HDInsight Cluster.mp4 92.8 MB
10 - Data Bricks Activity/84 - Mounting Azure Data Lake Storage.mp4 90.5 MB
5 - Data Ingestion From HTTP/34 - Create Pipeline.mp4 89.8 MB
12 - Making Pipelines Production Ready/95 - Option 1 Pipeline Dependency.mp4 89.7 MB
14 - Power BI Reports/111 - Introduction to PowerBI Desktop.mp4 88.6 MB
11 - Copy Data to Azure SQL/92 - Copy Data Activity Testing Data.mp4 88.4 MB
5 - Data Ingestion From HTTP/38 - Control Flow Activities.mp4 86.5 MB
9 - HDInsight Activity/76 - Hive Script Walkthrough.mp4 85.5 MB
9 - HDInsight Activity/77 - Create ADF Pipeline with Hive Activity.mp4 83.2 MB
15 - Continuous Integration Continuous Delivery CICD/129 - Option 1 Add Production Stage.mp4 82.9 MB
7 - Data Flows Hospital Admissions Data Transformation/65 - Pivot Transformation Assignment.mp4 82.0 MB
10 - Data Bricks Activity/85 - Transformation Requirements.mp4 80.4 MB
15 - Continuous Integration Continuous Delivery CICD/124 - Option 1 Creating ARM Deployment Task.mp4 75.4 MB
15 - Continuous Integration Continuous Delivery CICD/133 - Option 2 Update Release Pipeline.mp4 75.4 MB
6 - Data Flows Cases Deaths Data Transformation/47 - Source Transformation.mp4 70.5 MB
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- 【影视】 Pluralsight Path. Data Science with Microsoft Azure (2021)
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收录时间:2024-01-06
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F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/3. Working with Azure Databricks/5. Demo - Azure Databricks with Azure Data Lake Storage Gen2.mp4 63.4 MB
F3. Deploying and Managing Models in Microsoft Azure (Jared Rhodes, 2020)/3. Using Continuous Integration and Continuous Deployment/4. Creating Pipelines.mp4 51.2 MB
E5. Building Features for Computer Vision in Microsoft Azure (David Tucker, 2020)/exercise.7z 45.9 MB
D2. Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer (Neeraj Kumar, 2019)/4. Using the Kusto Query Language (KQL)/6. Demo - Working with KQL - Timeseries.mp4 44.0 MB
F1. Developing Models in Microsoft Azure (Saravanan Dhandapani, 2020)/3. Import and Prepare Data for Modeling/2. Data Preprocessing with Microsoft AzureML.mp4 39.4 MB
D2. Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer (Neeraj Kumar, 2019)/4. Using the Kusto Query Language (KQL)/5. Demo - Working with KQL - Basic.mp4 39.0 MB
F3. Deploying and Managing Models in Microsoft Azure (Jared Rhodes, 2020)/2. Deploying a Machine Learning Model/5. Creating and Deploying.mp4 38.8 MB
E5. Building Features for Computer Vision in Microsoft Azure (David Tucker, 2020)/3. Utilizing the SIFT and HOG Algorithms for Feature Detection/4. Extracting and Matching Features with SIFT.mp4 37.1 MB
D2. Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer (Neeraj Kumar, 2019)/5. Data Ingestion for ADX/6. Demo - Data Ingestion Using EventHubs and .Net Custom Code.mp4 36.5 MB
B2. Sourcing Data in Microsoft Azure (Jared Rhodes, 2019)/3. Extracting and Loading Data into an Azure Workflow/6. HD Insights Demo.mp4 34.4 MB
F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/4. Model Evaluation and Summarizing Results/6. Demo - Create Model and Perform Predictive Analytics Part3.mp4 34.1 MB
F1. Developing Models in Microsoft Azure (Saravanan Dhandapani, 2020)/5. Tuning Hyperparameters and AutoML/3. Automated Machine Learning Experiment Using Python SDK.mp4 33.4 MB
F1. Developing Models in Microsoft Azure (Saravanan Dhandapani, 2020)/3. Import and Prepare Data for Modeling/1. Creating and Registering Microsoft AzureML Datastore.mp4 31.3 MB
F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/5. Reviewing Results with Stakeholders/4. Demo - Communicating Insights using MatPlotLib.mp4 29.9 MB
F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/3. Working with Azure Databricks/4. Demo - Configuring and Working with Azure Databricks.mp4 29.1 MB
E5. Building Features for Computer Vision in Microsoft Azure (David Tucker, 2020)/3. Utilizing the SIFT and HOG Algorithms for Feature Detection/6. Extracting and Matching Features with HOG.mp4 28.5 MB
F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/3. Working with Azure Databricks/6. Demo - Performing Exploratory Data Analysis using Azure Databricks.mp4 27.0 MB
F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/4. Model Evaluation and Summarizing Results/5. Demo - Create Model and Perform Predictive Analytics Part 2.mp4 25.7 MB
F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/3. Working with Azure Databricks/7. Demo - Working with Streaming Data Using Azure Databricks and Event Hubs.mp4 24.7 MB
F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/5. Reviewing Results with Stakeholders/3. Demo - Communicating Insights using Power BI.mp4 24.5 MB
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- 【影视】 [CourserHub.com] Coursera - Mathematics for Machine Learning and Data Science Specialization
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machine-learning-linear-algebra/01_week-1-system-of-linear-equations/01_specialization-course-introduction/01_specialization-introduction.mp4 27.8 MB
machine-learning-calculus/03_week-3-optimization-in-neural-networks-and-newtons-method/04_lecture-notes/01_week-3-slides_C2_W3.pdf 21.8 MB
machine-learning-calculus/01_week-1-derivatives-and-optimization/05_lecture-notes/01_week-1-slides_C2_W1.pdf 20.4 MB
machine-learning-calculus/01_week-1-derivatives-and-optimization/01_lesson-1-derivatives/03_machine-learning-motivation.mp4 18.2 MB
machine-learning-calculus/03_week-3-optimization-in-neural-networks-and-newtons-method/02_lesson-2-newtons-method/03_the-second-derivative.mp4 15.4 MB
machine-learning-linear-algebra/01_week-1-system-of-linear-equations/02_system-of-linear-equations-2-variables/04_system-of-equations.mp4 14.7 MB
machine-learning-linear-algebra/01_week-1-system-of-linear-equations/02_system-of-linear-equations-2-variables/05_system-of-equations-as-lines.mp4 14.6 MB
machine-learning-calculus/01_week-1-derivatives-and-optimization/01_lesson-1-derivatives/02_course-introduction-by-luis-serrano.mp4 13.8 MB
machine-learning-calculus/01_week-1-derivatives-and-optimization/01_lesson-1-derivatives/13_the-inverse-function-and-its-derivative.mp4 13.5 MB
machine-learning-calculus/01_week-1-derivatives-and-optimization/01_lesson-1-derivatives/15_meaning-of-the-exponential-e.mp4 13.1 MB
machine-learning-calculus/01_week-1-derivatives-and-optimization/01_lesson-1-derivatives/04_motivation-to-derivatives-part-i.mp4 13.0 MB
machine-learning-linear-algebra/03_week-3-vectors-and-linear-transformations/02_linear-transformations/07_neural-networks-and-matrices.mp4 12.7 MB
machine-learning-calculus/01_week-1-derivatives-and-optimization/03_lesson-2-optimization/05_optimization-of-log-loss-part-1.mp4 12.5 MB
machine-learning-calculus/03_week-3-optimization-in-neural-networks-and-newtons-method/01_lesson-1-optimization-in-neural-networks/09_classification-with-a-neural-network-minimizing-log-loss.mp4 12.1 MB
machine-learning-calculus/02_week-2-gradients-and-gradient-descent/01_lesson-1-gradients/07_optimization-using-gradients-analytical-method.mp4 12.0 MB
machine-learning-linear-algebra/03_week-3-vectors-and-linear-transformations/04_lecture-notes/01_week-3-slides_C1_W3.pdf 12.0 MB
machine-learning-calculus/02_week-2-gradients-and-gradient-descent/01_lesson-1-gradients/01_introduction-to-tangent-planes.mp4 11.4 MB
machine-learning-calculus/02_week-2-gradients-and-gradient-descent/01_lesson-1-gradients/06_optimization-with-gradients-an-example.mp4 10.8 MB
machine-learning-linear-algebra/01_week-1-system-of-linear-equations/02_system-of-linear-equations-2-variables/03_system-of-sentences.mp4 10.8 MB
machine-learning-calculus/03_week-3-optimization-in-neural-networks-and-newtons-method/01_lesson-1-optimization-in-neural-networks/07_classification-with-perceptron-calculating-the-derivatives.mp4 10.8 MB
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- 【影视】 [Tutorialsplanet.NET] Udemy - Data Structures & Algorithms Essentials using C++ (2022)
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06 - 2D Arrays/007 Mango Trees.mp4 164.0 MB
03 - Arrays/006 Binary Search.mp4 122.4 MB
01 - Introduction/001 Course Orientation!.mp4 120.9 MB
03 - Arrays/001 Array Introduction.mp4 114.5 MB
21 - Hashing/001 Introduction to Hashing.mp4 111.1 MB
21 - Hashing/002 Hash Functions.mp4 108.4 MB
14 - Object Oriented Programming/007 Shallow & Deep Copy.mp4 88.8 MB
20 - Heaps Priority Queue/001 Introduction to Heap.mp4 88.4 MB
12 - Backtracking/005 Finding Subsets Code.mp4 85.2 MB
20 - Heaps Priority Queue/005 Insertion.mp4 79.8 MB
07 - Pointers & Dynamic Memory/005 Pass by Reference - Reference Variable.mp4 75.8 MB
08 - Vector Data Structure/002 Vectors - How they grow.mp4 75.5 MB
09 - Bit Manipulation/009 Clear Range of Bits.mp4 75.0 MB
08 - Vector Data Structure/006 Vector Class - II.mp4 74.1 MB
20 - Heaps Priority Queue/002 Heap vs other Data Structure.mp4 71.3 MB
25 - Project - Shopping Cart Backend/001 Shopping Cart Introduction.mp4 70.2 MB
14 - Object Oriented Programming/006 Copy Constructor.mp4 69.9 MB
23 - Graphs Introduction/006 BFS Code.mp4 69.4 MB
06 - 2D Arrays/004 Spiral Print.mp4 66.9 MB
09 - Bit Manipulation/007 Update ith Bit.mp4 64.0 MB
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- 【影视】 Platinum.Data.2013.1080p.BluRay.AC3.x264-AnimokuSubs
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Platinum.Data.2013.1080p.BluRay.AC3.x264-AnimokuSubs.mkv 15.8 GB
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- 【影视】 Microsoft Excel Zero to Hero for Data Analysis
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收录时间:2024-01-05
文档个数:69
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[TutsNode.net] - Microsoft Excel Zero to Hero for Data Analysis/1. Introduction/4. Customization.mp4 58.0 MB
[TutsNode.net] - Microsoft Excel Zero to Hero for Data Analysis/4. Mathematics Operations/1. Mathematics Operations.mp4 53.8 MB
[TutsNode.net] - Microsoft Excel Zero to Hero for Data Analysis/13. Pivot Table/1. Pivot Table.mp4 42.6 MB
[TutsNode.net] - Microsoft Excel Zero to Hero for Data Analysis/1. Introduction/1. Introduction.mp4 41.5 MB
[TutsNode.net] - Microsoft Excel Zero to Hero for Data Analysis/5. Filters/3. Grouping.mp4 29.6 MB
[TutsNode.net] - Microsoft Excel Zero to Hero for Data Analysis/5. Filters/1. Filters.mp4 27.2 MB
[TutsNode.net] - Microsoft Excel Zero to Hero for Data Analysis/1. Introduction/3. Congratulations.mp4 25.9 MB
[TutsNode.net] - Microsoft Excel Zero to Hero for Data Analysis/6. Basic Functions/1. Functions.mp4 24.7 MB
[TutsNode.net] - Microsoft Excel Zero to Hero for Data Analysis/3. Data Validation/1. Data Validation.mp4 20.9 MB
[TutsNode.net] - Microsoft Excel Zero to Hero for Data Analysis/12. Lookup Functions/1. VLOOKUP.mp4 17.4 MB
[TutsNode.net] - Microsoft Excel Zero to Hero for Data Analysis/7. Numerical Functions/2. RAND Function.mp4 17.1 MB
[TutsNode.net] - Microsoft Excel Zero to Hero for Data Analysis/8. Textual Functions/2. Find Function.mp4 16.7 MB
[TutsNode.net] - Microsoft Excel Zero to Hero for Data Analysis/10. Conditions/3. Nested IF Condition.mp4 15.6 MB
[TutsNode.net] - Microsoft Excel Zero to Hero for Data Analysis/11. Operators/1. AND.mp4 14.1 MB
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~Get Your Files Here !/2. Identify and Determine Data Types/6. Demo - Reading Other Data Formats.mp4 20.7 MB
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~Get Your Files Here !/04. Define, Apply, and Visualize Aggregations/03. Demo - Basic Aggregations - Part 1.mp4 18.7 MB
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~Get Your Files Here !/04. Define, Apply, and Visualize Aggregations/07. Demo - SQL Commands for Data Analysis - Part 2.mp4 14.8 MB
~Get Your Files Here !/04. Define, Apply, and Visualize Aggregations/09. Demo - Visualize Aggregations.mp4 13.9 MB
~Get Your Files Here !/5. Craft Compelling Visuals and Insights from Data/1. Why Do We Visualize Data.mp4 11.8 MB
~Get Your Files Here !/04. Define, Apply, and Visualize Aggregations/06. Demo - SQL Commands for Data Analysis - Part 1.mp4 10.7 MB
~Get Your Files Here !/2. Identify and Determine Data Types/2. Demo - Quantitative Data Types with Pandas.mp4 10.4 MB
~Get Your Files Here !/2. Identify and Determine Data Types/4. Demo - Categorical Data Types with Pandas.mp4 10.2 MB
~Get Your Files Here !/3. Identify Data Sources/1. Compare and Contrast Data Sources.mp4 9.8 MB
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~Get Your Files Here !/5. Craft Compelling Visuals and Insights from Data/3. Interpreting Charts.mp4 7.5 MB
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~Get Your Files Here !/Module 2 Probability/003. Probability Basics.mp4 110.0 MB
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~Get Your Files Here !/Module 3 Statistics and Hypothesis Testing/002. Descriptive Statistics.mp4 93.3 MB
~Get Your Files Here !/Module 6 Logistic Regression and Classification/006. ROCAUC and Confusion Matrices.mp4 74.3 MB
~Get Your Files Here !/Module 6 Logistic Regression and Classification/003. Fitting a Logistic Regression.mp4 72.6 MB
~Get Your Files Here !/Module 4 Linear Algebra/003. Transformations and Matrices.mp4 68.6 MB
~Get Your Files Here !/Module 5 Linear Regression/002. Simple Linear Regression.mp4 64.6 MB
~Get Your Files Here !/Module 4 Linear Algebra/002. Vectors and Vector Operations.mp4 61.6 MB
~Get Your Files Here !/Module 5 Linear Regression/007. Performance Metrics.mp4 55.9 MB
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~Get Your Files Here !/Module 2 Probability/005. Binomial and Beta Distribution.mp4 43.8 MB
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03. Building and Training a Machine Learning Model/07. Building and Training a Regression Model in Python.mp4 24.4 MB
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03. Building and Training a Machine Learning Model/03. Loading and Visualizing Data.mp4 13.1 MB
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1. Introduction - Why are you here and what we will accomplish here/8. 8 All about Map Visualizations in Power BI - all we need to know.mp4 155.0 MB
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