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【压缩文件】 [ FreeCourseWeb.com ] Linear Regression in Python - Complete Statistics and Coding (Updated 7 - 2020).zip

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[ FreeCourseWeb.com ] Linear Regression in Python - Complete Statistics and Coding (Updated 7 - 2020).zip 1.8 GB

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【压缩文件】 [GigaCourse.com] Udemy - Python Bootcamp 2020 Build 15 working Applications and Games

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29. Project-7 School donation analysis/19.1 260.Projects.csv.zip 813.4 MB
19. Section-2 Python for data science and data visualisation/2. What is Datascience.mp4 367.5 MB
29. Project-7 School donation analysis/17.1 258.Donations.csv.zip 248.7 MB
29. Project-7 School donation analysis/6. First analysis.mp4 224.5 MB
29. Project-7 School donation analysis/20.1 261.Resources.csv.zip 223.4 MB
2. Installing Python on Mac/2. Installing Python on Mac.mp4 221.7 MB
18. Project-4 Tic Tac Toe/8. Player move.mp4 220.7 MB
20. Numpy/3. Methods for Numpy.mp4 210.0 MB
27. Project-5 Plotter/4. Creating data.mp4 202.0 MB
27. Project-5 Plotter/8. Plotting 2 and 3 columns.mp4 197.7 MB
31. Tkinter/19. Menu and menu button.mp4 181.1 MB
23. Seaborn/4. Categories of plots.mp4 179.0 MB
3. Installing Python on windows/4.1 AtomSetup-x64.exe 170.2 MB
3. Installing Python on windows/6.1 AtomSetup-x64.exe 170.2 MB
3. Installing Python on windows/6.2 AtomSetup-x64.exe 170.2 MB
21. Pandas/13. Loading data using pandas.mp4 169.8 MB
23. Seaborn/10. Matrix plots.mp4 169.1 MB
3. Installing Python on windows/3. Installing Atom.mp4 163.0 MB
16. Project-2 Dictionary/11. How to get the close matches.mp4 159.7 MB
27. Project-5 Plotter/7. Plotting 1 column.mp4 158.6 MB

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【影视】 [FreeAllCourse.Com] Udemy- The Complete Machine Learning Course with Python

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6. Tree/6. Project HR.mp4 186.5 MB
7. Ensemble Machine Learning/2. Bagging.mp4 173.5 MB
12. Appendix A1 Foundations of Deep Learning/4. What is Deep Learning.mp4 163.2 MB
3. Regression/2. EDA.mp4 159.0 MB
11. Deep Learning/3. Motivational Example - Project MNIST.mp4 152.0 MB
11. Deep Learning/1. Estimating Simple Function with Neural Networks.mp4 150.8 MB
13. Computer Vision and Convolutional Neural Network (CNN)/4. Visualizing CNN.mp4 148.8 MB
3. Regression/15. Data Preprocessing.mp4 142.1 MB
13. Computer Vision and Convolutional Neural Network (CNN)/11. Training Your CNN 2.mp4 134.8 MB
3. Regression/19. CV Illustration.mp4 133.4 MB
10. Unsupervised Learning Clustering/1. Clustering.mp4 131.8 MB
3. Regression/9. Multiple Regression 1.mp4 131.6 MB
13. Computer Vision and Convolutional Neural Network (CNN)/10. Training Your CNN 1.mp4 130.9 MB
4. Classification/1. Logistic Regression.mp4 125.4 MB
3. Regression/7. Robust Regression.mp4 124.8 MB
13. Computer Vision and Convolutional Neural Network (CNN)/16. Feature Extraction.mp4 116.5 MB
3. Regression/12. Polynomial Regression.mp4 116.2 MB
4. Classification/3. Understanding MNIST.mp4 114.3 MB
3. Regression/4. Correlation Analysis and Feature Selection.mp4 110.3 MB
4. Classification/10. Precision Recall Tradeoff.mp4 107.0 MB

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【影视】 Reconhecimento de Voz e Sintetização de Fala com Python

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12. Projeto 06 - Assistente de Navegação Multitarefa/2. Criando o Projeto - Parte 1.mp4 81.6 MB
11. Projeto 05 - Integrando Sintetização + Reconhecimento de Voz/3. Desenvolvendo o Projeto - Parte 2.mp4 73.8 MB
11. Projeto 05 - Integrando Sintetização + Reconhecimento de Voz/4. Desenvolvendo o Projeto com IDLE.mp4 68.7 MB
13. Agradecimentos e industria 4.0/1. Finalização.mp4 68.5 MB
12. Projeto 06 - Assistente de Navegação Multitarefa/4. Criando o Projeto com IDLE.mp4 64.8 MB
11. Projeto 05 - Integrando Sintetização + Reconhecimento de Voz/2. Desenvolvendo o Projeto - Parte 1.mp4 57.2 MB
4. Projeto 01 - Programa de Boas vindas/1. Projeto 01 - Programa de Boas vindas - Desenvolvimento.mp4 52.3 MB
12. Projeto 06 - Assistente de Navegação Multitarefa/3. Criando o Projeto - Parte 2.mp4 51.4 MB
5. Sintetização com GTTS (Google-text-to-Speech)/1. Instalando Pacotes e Criando sintetização Gtts.mp4 44.7 MB
9. Projeto 3 - Comando de Voz SimNão/2. Desenvolvendo o Projeto.mp4 43.7 MB
3. Sintetização com Pyttsx3/1. Instalando Pacotes e Criando sintetização.mp4 43.3 MB
2. Sintetização com Espeak/1. Baixando e Configurando o Espeak.mp4 42.8 MB
6. Projeto 02 - Leitor de Arquivo de Texto/1. Projeto 02 - Leitor de Arquivo de Texto.mp4 42.6 MB
6. Projeto 02 - Leitor de Arquivo de Texto/2. Desenvolvendo o Projeto Parte 02.mp4 40.9 MB
10. Projeto 4 - Multiplicando Números por Comando de Voz/3. Desenvolvendo o Programa - Parte 2.mp4 37.8 MB
10. Projeto 4 - Multiplicando Números por Comando de Voz/2. Desenvolvendo o Programa - Parte 1.mp4 36.3 MB
7. Reconhecimento de Voz/5. Reconhecedor com Loop e Ajuste de Ambiente.mp4 36.2 MB
3. Sintetização com Pyttsx3/4. Teste Progressivo com Rate e Volume.mp4 34.6 MB
7. Reconhecimento de Voz/2. Entendendo o Funcionamento do Sphinx.mp4 29.4 MB
7. Reconhecimento de Voz/6. Lendo Arquivos de Audio com Sphinx.mp4 29.0 MB

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【压缩文件】 [FTUForum.com] [UDEMY] Complete Data Science Training with Python for Data Analysis [FTU]

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1. Introduction to the Data Science in Python Bootcamp/3.1 scriptsLecture.zip.zip 323.0 MB
1. Introduction to the Data Science in Python Bootcamp/2. Introduction to the Course Instructor.m4v 58.3 MB
6. Introduction to Data Visualizations/6. Barplot.mp4 56.4 MB
4. Introduction to Pandas/6. Read in HTML Data.mp4 53.8 MB
13. Miscellaneous Lectures Information/5. Data Imputation.m4v 47.0 MB
1. Introduction to the Data Science in Python Bootcamp/6. Introduction to the Python Data Science Environment.mp4 42.3 MB
6. Introduction to Data Visualizations/8. Line Chart.mp4 38.9 MB
3. Introduction to Numpy/3. Numpy Operations.mp4 38.5 MB
8. Statistical Inference Relationship Between Variables/9. Conditions of Linear Regression-Check in Python.mp4 35.0 MB
7. Statistical Data Analysis-Basic/5. Grouping Summarizing Data by Categories.mp4 34.7 MB
8. Statistical Inference Relationship Between Variables/7. Linear Regression-Implementation in Python.mp4 31.6 MB
6. Introduction to Data Visualizations/5. Scatter Plot-Visualize the Relationship Between 2 Continuous Variables.mp4 31.3 MB
6. Introduction to Data Visualizations/3. Histograms-Visualize the Distribution of Continuous Numerical Variables.mp4 30.8 MB
10. Unsupervised Learning in Python/8. Hierarchical Clustering-practical.mp4 30.8 MB
5. Data Pre-ProcessingWrangling/12. Merging and Joining Data Frames.mp4 30.2 MB
8. Statistical Inference Relationship Between Variables/12. Logistic Regression.mp4 30.2 MB
11. Supervised Learning/5. RF-Classification.mp4 29.9 MB
11. Supervised Learning/2. Data Preparation for Supervised Learning.mp4 29.7 MB
8. Statistical Inference Relationship Between Variables/3. Test the Difference Between More Than Two Groups.mp4 29.7 MB
13. Miscellaneous Lectures Information/4. Naive Bayes Classification.m4v 29.5 MB

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【影视】 ITVDN Python Essential 2016

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Урок 2. Наследование, полиморфизм в Python.mp4 267.0 MB
Урок 4. Итераторы и генераторы в Python.mp4 249.9 MB
Урок 6. Множества и отображения в Python.mp4 234.7 MB
Урок 7. Модули в Python.mp4 227.9 MB
Урок 1. Введение в ООП Python.mp4 221.6 MB
Урок 8. Ввод и вывод в Python.mp4 221.0 MB
Урок 3. Исключения в Python.mp4 216.8 MB
Урок 5. Последовательности в Python.mp4 212.2 MB
Урок 9. Элементы функционального программирования в Python.mp4 116.6 MB
Дополнительные материалы/001_Введение в ООП/001_Введение в ООП (Presentation).xps 1.2 MB
Дополнительные материалы/003_Исключения/003_Исключения (Presentation).xps 1.2 MB
Дополнительные материалы/002_Наследование и полиморфизм/002_Наследование и полиморфизм (Presentation).xps 1.2 MB
Дополнительные материалы/006_Множества и отображения/006_Множества и отображения (Presentation).xps 1.0 MB
Дополнительные материалы/008_Ввод и вывод/008_Ввод и вывод (Presentation).xps 977.6 kB
Дополнительные материалы/004_Итераторы и генераторы/004_Итераторы и генераторы (Presentation).xps 973.5 kB
Дополнительные материалы/009_Элементы функционального программирования/009_Элементы функционального программирования (Presentation).xps 913.6 kB
Дополнительные материалы/005_Последовательности/005_Последовательности (Presentation).xps 884.9 kB
Дополнительные материалы/007_Модули/007_Модули (Presentation).xps 852.8 kB
Дополнительные материалы/008_Ввод и вывод/008_Ввод и вывод.xps 673.2 kB
Дополнительные материалы/003_Исключения/003_Исключения.xps 672.8 kB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python (Updated 2-2020).zip

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[ FreeCourseWeb.com ] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python (Updated 2-2020).zip 773.2 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Web Scraping and API Fundamentals in Python.zip

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[ FreeCourseWeb.com ] Udemy - Web Scraping and API Fundamentals in Python.zip 1.7 GB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Python Programming for Beginners - Every Code line Explained.rar

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[ FreeCourseWeb.com ] Udemy - Python Programming for Beginners - Every Code line Explained.rar 1.1 GB

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【影视】 Python Workout video edition

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[TutsNode.com] - Python Workout video edition/Chapter 5. Longest word per file - screencast solution-1_ajtify18.mp4 121.2 MB
[TutsNode.com] - Python Workout video edition/Chapter 5. JSON - screencast solution-1_qp8t6tv9.mp4 112.8 MB
[TutsNode.com] - Python Workout video edition/Chapter 5. _etc_passwd to dict - screencast solution-1_3h3o04cl.mp4 110.1 MB
[TutsNode.com] - Python Workout video edition/Chapter 9. Ice cream bowl-1_p2cgqkcm.mp4 91.6 MB
[TutsNode.com] - Python Workout video edition/Chapter 5. Reading and writing CSV - screencast solution-1_vlzghu8k.mp4 91.1 MB
[TutsNode.com] - Python Workout video edition/Chapter 8. Sales tax - screencast solution-1_h58335b7.mp4 90.7 MB
[TutsNode.com] - Python Workout video edition/Chapter 5. Files-1_nbf42v2n.mp4 90.1 MB
[TutsNode.com] - Python Workout video edition/Chapter 3. Alphabetizing names - screencast solution-1_emhv53r2.mp4 83.8 MB
[TutsNode.com] - Python Workout video edition/Chapter 9. Cages-1_t6s8mz1o.mp4 82.6 MB
[TutsNode.com] - Python Workout video edition/Chapter 9. A bigger bowl-1_o5j9wvul.mp4 82.0 MB
[TutsNode.com] - Python Workout video edition/Chapter 7. Join numbers-1_7q2z2wvn.mp4 81.8 MB
[TutsNode.com] - Python Workout video edition/Chapter 6. Prefix notation calculator - screencast solution-1_idpy2xc2.mp4 80.5 MB
[TutsNode.com] - Python Workout video edition/Chapter 3. Printing tuple records - screencast solution-1_z5sysaes.mp4 80.4 MB
[TutsNode.com] - Python Workout video edition/Chapter 8. Sales tax-1_y0pbdfcp.mp4 76.0 MB
[TutsNode.com] - Python Workout video edition/Chapter 6. XML generator-1_qmhzs4rz.mp4 74.8 MB
[TutsNode.com] - Python Workout video edition/Chapter 2. Pig Latin sentence - screencast solution-1_tloaxd3s.mp4 72.4 MB
[TutsNode.com] - Python Workout video edition/Chapter 3. Alphabetizing names-1_6oniacf9.mp4 69.4 MB
[TutsNode.com] - Python Workout video edition/Chapter 2. Pig Latin sentence-1_5rcheqqa.mp4 69.2 MB
[TutsNode.com] - Python Workout video edition/Chapter 9. Animals - screencast solution-1_aagyk0kz.mp4 69.1 MB
[TutsNode.com] - Python Workout video edition/Chapter 9. Ice cream scoop-1_y8zjpuss.mp4 68.6 MB

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【压缩文件】 [DesireCourse.Net] Udemy - Deep Learning Prerequisites Logistic Regression in Python

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[DesireCourse.Net] Udemy - Deep Learning Prerequisites Logistic Regression in Python.zip 774.8 MB
[DesireCourse.Net].url 51 Bytes
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【影视】死里逃生.国英双语Python (2000) WEB-DL 720P AC3 x264.mkv

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死里逃生.国英双语Python (2000) WEB-DL 720P AC3 x264.mkv 1.3 GB

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【影视】 [DesireCourse.Com] Udemy - Data Science Supervised Machine Learning in Python

收录时间:2021-04-23 文档个数:40 文档大小:429.2 MB 最近下载:2025-05-15 人气:1000 磁力链接

09 Appendix/035 How to install Numpy Scipy Matplotlib and Sci-Kit Learn.mp4 46.0 MB
04 Decision Trees/021 Decision Tree in Code.mp4 31.8 MB
09 Appendix/036 How to Code by Yourself part 1.mp4 25.7 MB
02 K-Nearest Neighbor/006 KNN in Code with MNIST.mp4 18.8 MB
06 Practical Machine Learning/030 Sci-Kit Learn.mp4 16.6 MB
03 Naive Bayes and Bayes Classifiers/010 Naive Bayes.mp4 16.5 MB
09 Appendix/037 How to Code by Yourself part 2.mp4 15.5 MB
03 Naive Bayes and Bayes Classifiers/012 Naive Bayes in Code with MNIST.mp4 15.1 MB
04 Decision Trees/019 Maximizing Information Gain.mp4 14.6 MB
05 Perceptrons/023 Perceptron in Code.mp4 14.4 MB
05 Perceptrons/022 Perceptron Concepts.mp4 12.8 MB
07 Building a Machine Learning Web Service/033 Building a Machine Learning Web Service Code.mp4 12.4 MB
06 Practical Machine Learning/031 Regression with Sci-Kit Learn is Easy.mp4 11.3 MB
03 Naive Bayes and Bayes Classifiers/015 Linear Discriminant Analysis LDA and Quadratic Discriminant Analysis QDA.mp4 10.9 MB
01 Introduction and Review/004 How to Succeed in this Course.mp4 9.2 MB
05 Perceptrons/024 Perceptron for MNIST and XOR.mp4 9.2 MB
06 Practical Machine Learning/028 Comparison to Deep Learning.mp4 9.1 MB
02 K-Nearest Neighbor/005 K-Nearest Neighbor Concepts.mp4 9.0 MB
04 Decision Trees/017 Decision Tree Basics.mp4 8.7 MB
02 K-Nearest Neighbor/007 When KNN Can Fail.mp4 8.1 MB

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【影视】 [UdemyCourseDownloader] Python REST APIs with Flask, Docker, MongoDB, and AWS DevOps

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09. Deploying Restful API into AWS EC2 Instance/1. Deploying.mp4 302.0 MB
05. Project Database as a Service Restful API/2. Building the Sentences API Part 2.mp4 278.7 MB
03. Docker/3. Dockerizing our First Application.mp4 244.0 MB
07. Project Building an Image Recognition Restful API using Tensorflow and Deeplear/4. Building an Image Classification API, Classification Function Part 4.mp4 241.4 MB
08. Project Building a Restful API to handle Bank Transactions/2. Building a Bank API, Part 2.mp4 215.7 MB
04. MongoDB/2. MongoDB Introduction.mp4 187.8 MB
05. Project Database as a Service Restful API/3. Building the Sentences API Part 3.mp4 180.7 MB
08. Project Building a Restful API to handle Bank Transactions/3. Building a Bank API, Part 3.mp4 176.8 MB
04. MongoDB/6. Query Documents in MongoDB.mp4 168.0 MB
02. Understanding and Implementing a Simple REST API/4. Project 1, Building Restful API Part 2.mp4 167.9 MB
04. MongoDB/5. Creating and Deleting Collections in MongoDB.mp4 163.9 MB
04. MongoDB/4. Creating and Deleting Databases.mp4 158.1 MB
02. Understanding and Implementing a Simple REST API/3. Project 1, Building Restful API Part 1.mp4 149.7 MB
04. MongoDB/7. Updating and Sorting and Limiting Documents in MongoDB.mp4 140.8 MB
04. MongoDB/8. Building a Simple Application to Keep Track of Number of Users.mp4 138.2 MB
01. Understanding the Basics of the Python Flask Framework and its Workflow/5. JSON, Examples of JSON, and JSON in Flask.mp4 135.0 MB
06. Project Building a Restful API for Similarity Check using Natural Language Proc/4. Building a Similarity API Detection of Similarity Part 4.mp4 133.6 MB
06. Project Building a Restful API for Similarity Check using Natural Language Proc/2. Building a Similarity API Docker-compose Structure Part 2.mp4 131.9 MB
07. Project Building an Image Recognition Restful API using Tensorflow and Deeplear/6. Building an Image Classification API Testing Part 6.mp4 110.0 MB
01. Understanding the Basics of the Python Flask Framework and its Workflow/4. Revisiting Hello World Program And Explaining GETs.mp4 105.0 MB

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【影视】 [GigaCourse.com] Udemy - Python for Financial Analysis and Algorithmic Trading

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9. Capstone Stock Market Analysis Project/3. Stock Market Analysis Project Solutions Part One.mp4 66.4 MB
13. Advanced Quantopian and Trading Algorithms/13. Futures on Quantopian Part Two.mp4 63.2 MB
9. Capstone Stock Market Analysis Project/5. Stock Market Analysis Project Solutions Part Three.mp4 56.0 MB
13. Advanced Quantopian and Trading Algorithms/5. Pipeline Trading Algorithm Code along Part Three.mp4 53.0 MB
13. Advanced Quantopian and Trading Algorithms/12. Futures on Quantopian.mp4 50.0 MB
11. Python Finance Fundamentals/9. Portfolio Optimization Code Along Three.mp4 48.5 MB
5. General Pandas Overview/5. DataFrames Part Two.mp4 48.2 MB
5. General Pandas Overview/4. DataFrames.mp4 46.0 MB
6. Visualization with Matplotlib and Pandas/3. Matplotlib Basics - Part One.mp4 43.7 MB
6. Visualization with Matplotlib and Pandas/9. Pandas Time Series Visualization.mp4 41.7 MB
11. Python Finance Fundamentals/4. Portfolio Allocation Code Along Part One.mp4 41.6 MB
10. Time Series Analysis/4. Introduction to Statsmodels.mp4 41.5 MB
8. Pandas with Time Series Data/6. Pandas Rolling and Expanding.mp4 40.6 MB
12. Basics of Algorithmic Trading with Quantopian/4. Quantopian Research Basics.mp4 40.5 MB
3. Python Crash Course/3. Python Crash Course Part One.mp4 39.8 MB
12. Basics of Algorithmic Trading with Quantopian/12. Quantopian Pipelines Factors.mp4 39.6 MB
13. Advanced Quantopian and Trading Algorithms/9. Portfolio Analysis with PyFolio.mp4 38.6 MB
12. Basics of Algorithmic Trading with Quantopian/7. First Trading Algorithm - Part One.mp4 38.3 MB
12. Basics of Algorithmic Trading with Quantopian/8. First Trading Algorithm - Part Two.mp4 38.3 MB
5. General Pandas Overview/11. Data Input and Output.mp4 37.7 MB

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【影视】 GetFreeCourses.Co-Udemy-Python for Data Structures, Algorithms, and Interviews!

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15. Recursion/12. Recursion Interview Problem - 4 - SOLUTION.mp4 73.6 MB
18. Graph Algorithms/4. Implementation of a Graph (Adjacency List).mp4 66.6 MB
17. Searching and Sorting/7. Implementation of a Hash Table.mp4 63.5 MB
16. Trees/7. Binary Heap Implementation.mp4 56.0 MB
11. Algorithm Analysis and Big O/4. Big O Examples.mp4 49.8 MB
12. Array Sequences/2. Low Level Arrays.mp4 45.6 MB
12. Array Sequences/4. Dynamic Array Excercise.mp4 45.5 MB
16. Trees/9. Implementation of Binary Search Trees - Part 1.mp4 44.7 MB
15. Recursion/10. Recursion Interview Problem - 3 - SOLUTION.mp4 42.7 MB
12. Array Sequences/12. Find the Missing Element - Interview Problem - SOLUTION.mp4 41.1 MB
15. Recursion/8. Recursion Interview Problem - 2 - SOLUTION.mp4 38.8 MB
21. Mock Interview 1 - E-Commerce Company/7. On Site Question 1 -SOLUTION.mp4 38.8 MB
18. Graph Algorithms/9. Implementation of Graph Overview.mp4 38.3 MB
16. Trees/10. Implementation of Binary Search Trees - Part 2.mp4 38.1 MB
15. Recursion/3. Recursion Homework Example Problems - SOLUTIONS.mp4 37.9 MB
17. Searching and Sorting/22. Implementation of Quick Sort.mp4 36.6 MB
17. Searching and Sorting/20. Implementation of Merge Sort.mp4 35.3 MB
17. Searching and Sorting/6. Hashing.mp4 34.8 MB
11. Algorithm Analysis and Big O/3. Big O Notation.mp4 34.2 MB
18. Graph Algorithms/6. Breadth First Search.mp4 33.8 MB

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【压缩文件】 Learn AWS with Python

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Learn AWS with Python.zip 345.7 MB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
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