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- 【影视】 [ FreeCourseWeb.com ] Udemy - Machine Learning & Data Science Bootcamp with R & Python (07 - 2021)
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收录时间:2024-04-20
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~Get Your Files Here !/11 Kaggle - Covid 19- Classification (Chest X-ray.) - Covid-19 & Pneumonia/001 Demo - [without voice].mp4 449.1 MB
~Get Your Files Here !/07 Convolutional Neural Networks - CNN/001 How to Develop a CNN From Scratch for CIFAR-10 Photo Classification.mp4 415.1 MB
~Get Your Files Here !/04 Machine Learning - Supervised Learning/002 Univariate Linear regression Part 2.mp4 298.5 MB
~Get Your Files Here !/04 Machine Learning - Supervised Learning/003 Multivariate Linear Regression.mp4 222.1 MB
~Get Your Files Here !/05 Machine Learning - Unsupervised Learning - Clustering/005 K-Means clustering - Code walkthrough with Theory & Practical.mp4 157.3 MB
~Get Your Files Here !/04 Machine Learning - Supervised Learning/004 Logistic regression.mp4 157.1 MB
~Get Your Files Here !/11 Kaggle - Covid 19- Classification (Chest X-ray.) - Covid-19 & Pneumonia/002 Demonstration with Step by step Guidance [With voice].mp4 141.8 MB
~Get Your Files Here !/04 Machine Learning - Supervised Learning/001 Univariate Linear regression Part 1.mp4 141.1 MB
~Get Your Files Here !/04 Machine Learning - Supervised Learning/005 Naive Bayes Classifier.mp4 130.6 MB
~Get Your Files Here !/06 Implementing a ANN with R programming _ R Studio/001 Implementing a ANN with R programming _ R Studio.mp4 126.8 MB
~Get Your Files Here !/05 Machine Learning - Unsupervised Learning - Clustering/001 Clustering _ Lecture Part 1.mp4 93.8 MB
~Get Your Files Here !/01 Introduction/007 Classification _ Definition.mp4 88.7 MB
~Get Your Files Here !/01 Introduction/003 What is Machine Learning.mp4 84.8 MB
~Get Your Files Here !/02 Setting up the Environment for Machine Learning - R language and R studio/001 Installing R and R studio.mp4 79.6 MB
~Get Your Files Here !/05 Machine Learning - Unsupervised Learning - Clustering/003 What is clustering in Machine Learning.mp4 73.0 MB
~Get Your Files Here !/03 Setting up the Environment for Machine Learning - Python & Anaconda/001 Installing Python and Pycharm IDE.mp4 49.4 MB
~Get Your Files Here !/01 Introduction/005 Steps to Solve a Data Mining & Machine Learning Problem.mp4 48.4 MB
~Get Your Files Here !/01 Introduction/001 Why we need Data Mining & Machine Learning.mp4 45.3 MB
~Get Your Files Here !/01 Introduction/008 Clustering _ Definition.mp4 38.9 MB
~Get Your Files Here !/03 Setting up the Environment for Machine Learning - Python & Anaconda/002 Setting up the Environment _ Anaconda.mp4 38.1 MB
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- 【影视】 [ TutGator.com ] Linkedin - Data Science Foundations - Fundamentals (2022)
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收录时间:2022-03-25
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~Get Your Files Here !/03. The Place of Data Science in the Data Universe/009. Machine learning.mp4 101.6 MB
~Get Your Files Here !/04. Ethics and Agency/018. Explainable AI.mp4 90.7 MB
~Get Your Files Here !/10. Supervised Learning/049. Time-series data.mp4 84.5 MB
~Get Your Files Here !/05. Sources of Data/021. Labeling data.mp4 80.1 MB
~Get Your Files Here !/10. Supervised Learning/052. Aggregating models.mp4 78.0 MB
~Get Your Files Here !/03. The Place of Data Science in the Data Universe/008. Artificial intelligence.mp4 76.6 MB
~Get Your Files Here !/03. The Place of Data Science in the Data Universe/010. Deep learning neural networks.mp4 76.0 MB
~Get Your Files Here !/03. The Place of Data Science in the Data Universe/013. Prescriptive analytics.mp4 69.6 MB
~Get Your Files Here !/10. Supervised Learning/048. Supervised learning with predictive models.mp4 68.3 MB
~Get Your Files Here !/08. Mathematics for Data Science/039. Algebra.mp4 67.3 MB
~Get Your Files Here !/04. Ethics and Agency/017. Legal.mp4 61.4 MB
~Get Your Files Here !/02. What Is Data Science/004. The data science pathway.mp4 61.2 MB
~Get Your Files Here !/09. Unsupervised Learning/044. Descriptive analyses.mp4 60.6 MB
~Get Your Files Here !/04. Ethics and Agency/015. Bias.mp4 60.2 MB
~Get Your Files Here !/05. Sources of Data/025. Scraping data.mp4 59.8 MB
~Get Your Files Here !/06. Sources of Rules/032. The derivation of rules from data analysis.mp4 56.2 MB
~Get Your Files Here !/08. Mathematics for Data Science/041. Optimization and the combinatorial explosion.mp4 56.2 MB
~Get Your Files Here !/11. 10 Generative Methods in Data Science/055. Reinforcement learning.mp4 55.4 MB
~Get Your Files Here !/11. 10 Generative Methods in Data Science/054. Generative adversarial networks (GANs).mp4 53.6 MB
~Get Your Files Here !/10. Supervised Learning/051. Feature selection and creation.mp4 53.4 MB
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- 【影视】 Secrets.Of.Big.Data.S01.COMPLETE.720p.AMZN.WEBRip.x264-GalaxyTV[TGx]
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Secrets.Of.Big.Data.S01E01.720p.AMZN.WEBRip.x264-GalaxyTV.mkv 627.4 MB
Secrets.Of.Big.Data.S01E03.720p.AMZN.WEBRip.x264-GalaxyTV.mkv 554.6 MB
Secrets.Of.Big.Data.S01E06.720p.AMZN.WEBRip.x264-GalaxyTV.mkv 482.1 MB
Secrets.Of.Big.Data.S01E04.720p.AMZN.WEBRip.x264-GalaxyTV.mkv 465.7 MB
Secrets.Of.Big.Data.S01E02.720p.AMZN.WEBRip.x264-GalaxyTV.mkv 445.2 MB
Secrets.Of.Big.Data.S01E05.720p.AMZN.WEBRip.x264-GalaxyTV.mkv 414.4 MB
[TGx]Downloaded from torrentgalaxy.to .txt 718 Bytes
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- 【影视】 [FreeCourseSite.com] Udemy - Python para Data Science e Machine Learning - COMPLETO
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收录时间:2021-04-02
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17. Regressão Logística/6. Regressão logística com Python - Solução.mp4 71.3 MB
7. Python para análise de dados - Exercícios Pandas/2. Soluções - Salários SF.mp4 69.5 MB
13. Projetos de análise de dados/7. Análise de dados do mercado financeiro - Parte 2.mp4 63.5 MB
15. Regressões lineares/5. Regressões lineares - Solução projeto.mp4 63.2 MB
13. Projetos de análise de dados/3. Ligações para 911 - Parte 1.mp4 63.1 MB
24. Processamento de linguagem natural/6. NLP com Python - Soluções.mp4 59.7 MB
18. K Nearest Neighbors (KNNs)/4. KNN - Solução Projeto.mp4 54.9 MB
7. Python para análise de dados - Exercícios Pandas/4. Soluções Compras de Ecomerce.mp4 54.0 MB
13. Projetos de análise de dados/4. Ligações para 911 - Parte 2.mp4 51.0 MB
9. Python para visualização de dados - Seaborn/2. Plots de distribuição.mp4 50.3 MB
24. Processamento de linguagem natural/3. NLP com Python - Parte 2.mp4 49.8 MB
20. Support Vector Machines (SVMs)/2. SVM com Python.mp4 48.4 MB
21. K Means Clustering/4. K Means - Solução Projeto.mp4 47.6 MB
12. Python para visualização de dados - Plots geográficos/2. Mapas Choropleth - Parte 1 - USA.mp4 45.6 MB
24. Processamento de linguagem natural/4. NLP com Python - Parte 3.mp4 44.6 MB
15. Regressões lineares/2. Regressões lineares com Python - Parte 1.mp4 44.6 MB
17. Regressão Logística/3. Regressão logística com Python - Parte 2.mp4 44.1 MB
13. Projetos de análise de dados/6. Análise de dados do mercado financeiro - Parte 1.mp4 44.0 MB
9. Python para visualização de dados - Seaborn/5. Plots de regressão.mp4 43.4 MB
25. Big Data e Spark com Python/5. Configurando uma instância EC2 no AWS.mp4 42.9 MB
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- 【影视】 [DesireCourse.Net] Udemy - Python para Data Science e Machine Learning - COMPLETO
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收录时间:2021-03-12
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17. Regressão Logística/6. Regressão logística com Python - Solução.mp4 71.3 MB
7. Python para análise de dados - Exercícios Pandas/2. Soluções - Salários SF.mp4 69.5 MB
13. Projetos de análise de dados/7. Análise de dados do mercado financeiro - Parte 2.mp4 63.5 MB
15. Regressões lineares/5. Regressões lineares - Solução projeto.mp4 63.2 MB
13. Projetos de análise de dados/3. Ligações para 911 - Parte 1.mp4 63.1 MB
24. Processamento de linguagem natural/6. NLP com Python - Soluções.mp4 59.7 MB
18. K Nearest Neighbors (KNNs)/4. KNN - Solução Projeto.mp4 54.9 MB
7. Python para análise de dados - Exercícios Pandas/4. Soluções Compras de Ecomerce.mp4 54.0 MB
13. Projetos de análise de dados/4. Ligações para 911 - Parte 2.mp4 51.0 MB
9. Python para visualização de dados - Seaborn/2. Plots de distribuição.mp4 50.3 MB
24. Processamento de linguagem natural/3. NLP com Python - Parte 2.mp4 49.8 MB
20. Support Vector Machines (SVMs)/2. SVM com Python.mp4 48.4 MB
21. K Means Clustering/4. K Means - Solução Projeto.mp4 47.6 MB
12. Python para visualização de dados - Plots geográficos/2. Mapas Choropleth - Parte 1 - USA.mp4 45.6 MB
24. Processamento de linguagem natural/4. NLP com Python - Parte 3.mp4 44.6 MB
15. Regressões lineares/2. Regressões lineares com Python - Parte 1.mp4 44.6 MB
17. Regressão Logística/3. Regressão logística com Python - Parte 2.mp4 44.1 MB
13. Projetos de análise de dados/6. Análise de dados do mercado financeiro - Parte 1.mp4 44.0 MB
9. Python para visualização de dados - Seaborn/5. Plots de regressão.mp4 43.4 MB
25. Big Data e Spark com Python/5. Configurando uma instância EC2 no AWS.mp4 42.9 MB
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- 【影视】 [devil-torrents.pl] Buddha Data (TaI) (2024) [h264.1080p] MULTi [DD+ 5.1] M80.mkv
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[devil-torrents.pl] Buddha Data (TaI) (2024) [h264.1080p] MULTi [DD+ 5.1] M80.mkv 3.0 GB
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- 【影视】 Deep Learning for Beginner (AI) - Data Science
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收录时间:2023-12-20
文档个数:114
文档大小:3.0 GB
最近下载:2025-04-05
人气:1280
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[TutsNode.net] - Deep Learning for Beginner (AI) - Data Science/7. Convolutional Neural Network - CNN Model/11. Mathematical perspective of Padding technique in CNN model with example.mp4 357.6 MB
[TutsNode.net] - Deep Learning for Beginner (AI) - Data Science/7. Convolutional Neural Network - CNN Model/17. Build a Convolutional Neural Network (CNN) model in Python programming.mp4 248.4 MB
[TutsNode.net] - Deep Learning for Beginner (AI) - Data Science/6. Artificial Neural Network - ANN Model/4. Labelled model of Artificial Neural Network (ANN).mp4 193.4 MB
[TutsNode.net] - Deep Learning for Beginner (AI) - Data Science/6. Artificial Neural Network - ANN Model/7. Python project of ANN model.mp4 178.9 MB
[TutsNode.net] - Deep Learning for Beginner (AI) - Data Science/7. Convolutional Neural Network - CNN Model/4. Mathematical explanation of a Kernel or Filter in CNN model.mp4 172.4 MB
[TutsNode.net] - Deep Learning for Beginner (AI) - Data Science/6. Artificial Neural Network - ANN Model/6. Backward Artificial Neural Network (ANN) model.mp4 151.0 MB
[TutsNode.net] - Deep Learning for Beginner (AI) - Data Science/7. Convolutional Neural Network - CNN Model/2. Block diagram of a Convolutional Neural Network model.mp4 129.4 MB
[TutsNode.net] - Deep Learning for Beginner (AI) - Data Science/5. Non - Linear Activation Functions/2. Non-Linear Activation Function - Sigmoid Function in detail.mp4 84.5 MB
[TutsNode.net] - Deep Learning for Beginner (AI) - Data Science/4. Linear Activation Functions/5. Activation Function - Leaky ReLU Function - Mathematical & Graphical show.mp4 79.5 MB
[TutsNode.net] - Deep Learning for Beginner (AI) - Data Science/8. Recurrent Neural Network (RNN) Model in Deep Learning/5. Operation of a Recurrent Neural Network model.mp4 77.2 MB
[TutsNode.net] - Deep Learning for Beginner (AI) - Data Science/6. Artificial Neural Network - ANN Model/3. Complex Artificial Neural Network (ANN) model.mp4 73.1 MB
[TutsNode.net] - Deep Learning for Beginner (AI) - Data Science/7. Convolutional Neural Network - CNN Model/9. Mathematical perspective of a Stride in CNN with example.mp4 72.8 MB
[TutsNode.net] - Deep Learning for Beginner (AI) - Data Science/5. Non - Linear Activation Functions/1. Non-Linear Activation Function - Tangent Hyperbolic function in detail.mp4 69.5 MB
[TutsNode.net] - Deep Learning for Beginner (AI) - Data Science/4. Linear Activation Functions/1. Linear Activation Function - Step Function and its graphical representation.mp4 64.3 MB
[TutsNode.net] - Deep Learning for Beginner (AI) - Data Science/4. Linear Activation Functions/4. Linear Activation Function - ReLU Function - Mathematical & Graphical show.mp4 63.7 MB
[TutsNode.net] - Deep Learning for Beginner (AI) - Data Science/7. Convolutional Neural Network - CNN Model/16. Graphical representation to know that how Flatten process takes place in CNN.mp4 63.5 MB
[TutsNode.net] - Deep Learning for Beginner (AI) - Data Science/8. Recurrent Neural Network (RNN) Model in Deep Learning/9. Many-one RNN model.mp4 62.7 MB
[TutsNode.net] - Deep Learning for Beginner (AI) - Data Science/8. Recurrent Neural Network (RNN) Model in Deep Learning/8. Many-many RNN model.mp4 61.2 MB
[TutsNode.net] - Deep Learning for Beginner (AI) - Data Science/2. Introduction to deep learning/2. How Neural Network looks like Comparison of artificial and biological network.mp4 57.9 MB
[TutsNode.net] - Deep Learning for Beginner (AI) - Data Science/4. Linear Activation Functions/2. Linear Activation Function - Sign Function - Mathematical and graphical show.mp4 52.8 MB
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- 【影视】 [ TutSala.com ] LiveLessons - Product Analytics for Data-Driven Decisions - Derive Insights from Web Analytics Data
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收录时间:2024-08-17
文档个数:61
文档大小:3.0 GB
最近下载:2025-05-16
人气:752
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~Get Your Files Here !/Lesson 7 Index Creation/005. 7.4 Modelling PreferencesChoice.mp4 206.1 MB
~Get Your Files Here !/Lesson 6 Metric Development Process/003. 6.2 Common Metrics--Part 2.mp4 178.9 MB
~Get Your Files Here !/Lesson 4 Learn Basic Statistical Techniques and Common Pitfalls/005. 4.4 Sampling.mp4 163.7 MB
~Get Your Files Here !/Lesson 8 AB Testing/005. 8.4 Interpret the Results of AB Tests--Part 1.mp4 146.7 MB
~Get Your Files Here !/Lesson 7 Index Creation/006. 7.5 Principal Components Analysis (PCA).mp4 125.7 MB
~Get Your Files Here !/Lesson 5 Conceptualization, Operationalization and Metric Development/007. 5.6 Re-weighting.mp4 123.9 MB
~Get Your Files Here !/Lesson 5 Conceptualization, Operationalization and Metric Development/005. 5.4 Period Person Years.mp4 121.2 MB
~Get Your Files Here !/Lesson 5 Conceptualization, Operationalization and Metric Development/003. 5.2 Cohort and Period Metrics.mp4 120.9 MB
~Get Your Files Here !/Lesson 8 AB Testing/007. 8.6 Pitfalls of AB Testing .mp4 114.6 MB
~Get Your Files Here !/Lesson 2 Theory Building/003. 2.2 Elements of Theory Building .mp4 110.4 MB
~Get Your Files Here !/Lesson 4 Learn Basic Statistical Techniques and Common Pitfalls/003. 4.2 Mean, Mode and Variance.mp4 106.0 MB
~Get Your Files Here !/Lesson 8 AB Testing/006. 8.5 Interpret the Results of AB Tests--Part 2.mp4 95.5 MB
~Get Your Files Here !/Lesson 4 Learn Basic Statistical Techniques and Common Pitfalls/002. 4.1 Distributions.mp4 82.4 MB
~Get Your Files Here !/Lesson 6 Metric Development Process/006. 6.5 Survival Metrics .mp4 80.5 MB
~Get Your Files Here !/Lesson 5 Conceptualization, Operationalization and Metric Development/002. 5.1 Period -- Age -- Cohort .mp4 74.9 MB
~Get Your Files Here !/Lesson 8 AB Testing/003. 8.2 Set-Up AB Tests--Part 2.mp4 69.8 MB
~Get Your Files Here !/Lesson 7 Index Creation/002. 7.1 Measuring Complex Concepts.mp4 62.2 MB
~Get Your Files Here !/Lesson 8 AB Testing/002. 8.1 Set-Up AB Tests--Part 1.mp4 61.6 MB
~Get Your Files Here !/Lesson 1 Explore the Data-Generating Process/003. 1.2 The Characteristics of a Social System.mp4 58.9 MB
~Get Your Files Here !/Lesson 4 Learn Basic Statistical Techniques and Common Pitfalls/007. 4.6 Calculating Linear Correlations.mp4 58.9 MB
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- 【影视】 [CourseClub.NET] Packtpub - Hands-on Google Cloud Platform(GCP) - Data Engineer
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收录时间:2018-09-25
文档个数:57
文档大小:3.0 GB
最近下载:2025-05-16
人气:3951
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1.Introduction/01.Introduction.mp4 14.2 MB
1.Introduction/02.Details on Google certification.mp4 23.5 MB
1.Introduction/03.Overview of Data engineer certification.mp4 33.3 MB
1.Introduction/04.Why cloud.mp4 21.4 MB
10.BigQuery/30.More GCP – BigQuery.mp4 86.2 MB
10.BigQuery/31.Lab - BigQuery - Loading CSV data.mp4 44.8 MB
10.BigQuery/32.Lab - Querying Table.mp4 63.6 MB
11.Machine Learning _ Tensorflow/33.Hello Machine learning.mp4 25.0 MB
11.Machine Learning _ Tensorflow/34.The ML block diagram, Deep learning _amp_ neural networks.mp4 44.3 MB
11.Machine Learning _ Tensorflow/35.Lab - simple Math in Tensorflow.mp4 38.3 MB
11.Machine Learning _ Tensorflow/36.Understanding Tensorflow.mp4 58.1 MB
11.Machine Learning _ Tensorflow/37.Tensors.mp4 24.6 MB
11.Machine Learning _ Tensorflow/38.Lab - Tensors.mp4 75.9 MB
11.Machine Learning _ Tensorflow/39.Linear regression basics.mp4 44.9 MB
11.Machine Learning _ Tensorflow/40.Lab - Simple regression example.mp4 97.6 MB
11.Machine Learning _ Tensorflow/41.Placeholders _amp_ variables.mp4 52.6 MB
11.Machine Learning _ Tensorflow/42.Lab - simple math with placeholders.mp4 101.7 MB
11.Machine Learning _ Tensorflow/43.Lab - Dealing with variables.mp4 31.3 MB
11.Machine Learning _ Tensorflow/44.Image processing in TensorFlow.mp4 78.0 MB
11.Machine Learning _ Tensorflow/45.Lab - work with images.mp4 37.9 MB
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- 【影视】 Dj Naptol Convert Data 03.03.2021
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收录时间:2021-03-12
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22339 7 Pcs Fridge Cover Set 5 Vegetable Storage Bags Free 399 Live PGM ODO D 9217_x264.mp4 340.0 MB
18034 Floral Love 3D Bedsheet with 2 Pillow Covers Pick Any 1 399 Live PGM LPO Theme D 7895_x264.mp4 329.6 MB
20231 Scottish Club 7 Pcs Complete Travel Solution 799 Live PGM ODO Theme D 8377_x264.mp4 296.2 MB
21427 Mens Gold Watch Free Platinum Watch 2MW2 499 Live PGM ODO Theme D 8726_x264.mp4 276.4 MB
21338 36 Pcs Designer Dinner Set with Free Chopping Board And Knife Set Live PGM ODO Theme D8750_x264.mp4 247.4 MB
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22106 Mens Gold Watch with Gold Chain MGWC2 499 Live TYPE ODO D 9192_x264.mp4 200.9 MB
21951 Mobile Screen Enlarger Box with Free 2 Mobile Stands 299 Live PGM ODO D 9203_x264.mp4 148.8 MB
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- 【影视】 MT Naptol Convert Data 03.03.2021
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收录时间:2021-03-07
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22339 7 Pcs Fridge Cover Set 5 Vegetable Storage Bags Free 399 Live PGM ODO D 9217_x264.mp4 339.9 MB
18034 Floral Love 3D Bedsheet with 2 Pillow Covers Pick Any 1 399 Live PGM LPO Theme D 7895_x264.mp4 329.6 MB
20231 Scottish Club 7 Pcs Complete Travel Solution 799 Live PGM ODO Theme D 8377_x264.mp4 296.2 MB
21427 Mens Gold Watch Free Platinum Watch 2MW2 499 Live PGM ODO Theme D 8726_x264.mp4 276.4 MB
21338 36 Pcs Designer Dinner Set with Free Chopping Board And Knife Set Live PGM ODO Theme D 8750_x264.mp4 247.4 MB
20475 5L 3L Idli Stand 3 Steel Tiffin 1999 Live PGM ODO Theme D 8752_x264.mp4 239.1 MB
21399 2 Mens Gold Watches 2MW3 599 Live PGM ODO Theme D 9009_x264.mp4 234.0 MB
20832 Pack of 10 Round Neck T shirts 10RT1 999 Live PGM ODO Theme D 8765_x264.mp4 232.2 MB
22035 AR Gold Leatherite Sandals Leatherite Watch Free SW1 599 Live PGM ODO D 9210_x264.mp4 227.8 MB
20828 2 Mens Gold Chain Plus 1 Bracelet MGJ5 499 Liv PGM LPO Theme D 8894_x264.mp4 204.4 MB
22106 Mens Gold Watch with Gold Chain MGWC2 499 Live TYPE ODO D 9192_x264.mp4 200.9 MB
21951 Mobile Screen Enlarger Box with Free 2 Mobile Stands 299 Live PGM ODO D 9203_x264.mp4 148.8 MB
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- 【影视】 [Udemy] Statistics for Data Science and Business Analysis (2020)
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收录时间:2021-03-26
文档个数:252
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最近下载:2025-05-15
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05 Practical example descriptive statistics/026 Practical example.mp4 168.3 MB
17 Practical example regression analysis/091 Practical example regression analysis.mp4 135.6 MB
09 Practical example inferential statistics/051 Practical example inferential statistics.mp4 107.6 MB
10 Hypothesis testing Introduction/053 The null and the alternative hypothesis.mp4 96.6 MB
10 Hypothesis testing Introduction/055 Establishing a rejection region and a significance level.mp4 86.5 MB
07 Estimators and estimates/037 Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
03 The fundamentals of descriptive statistics/004 The various types of data we can work with.mp4 76.1 MB
08 Confidence intervals advanced topics/044 Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
12 Practical example hypothesis testing/068 Practical example hypothesis testing.mp4 72.7 MB
01 Introduction/001 What does the course cover.mp4 72.0 MB
06 Distributions/033 Understanding the central limit theorem.mp4 65.9 MB
06 Distributions/029 What is a distribution.mp4 64.6 MB
02 Sample or population data/003 Understanding the difference between a population and a sample.mp4 60.9 MB
07 Estimators and estimates/039 Confidence interval clarifications.mp4 59.9 MB
11 Hypothesis testing Lets start testing/059 What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
03 The fundamentals of descriptive statistics/005 Levels of measurement.mp4 57.0 MB
11 Hypothesis testing Lets start testing/057 Test for the mean. Population variance known.mp4 56.9 MB
13 The fundamentals of regression analysis/072 The linear regression model made easy.mp4 53.5 MB
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5. Practical example descriptive statistics/1. Practical example.mp4 168.3 MB
17. Practical example regression analysis/1. Practical example regression analysis.mp4 135.6 MB
9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 107.6 MB
10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 96.6 MB
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 86.6 MB
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 76.1 MB
8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 72.8 MB
1. Introduction/1. What does the course cover.mp4 72.0 MB
6. Distributions/9. Understanding the central limit theorem.mp4 66.0 MB
6. Distributions/2. What is a distribution.mp4 64.6 MB
2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 60.9 MB
7. Estimators and estimates/7. Confidence interval clarifications.mp4 59.9 MB
11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 57.0 MB
11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 56.9 MB
13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 53.5 MB
4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 53.4 MB
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5. Practical example descriptive statistics/1. Practical example.mp4 168.3 MB
17. Practical example regression analysis/1. Practical example regression analysis.mp4 135.6 MB
9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 107.6 MB
10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 96.6 MB
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 86.6 MB
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 76.1 MB
8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 72.7 MB
1. Introduction/1. What does the course cover.mp4 72.0 MB
6. Distributions/9. Understanding the central limit theorem.mp4 66.0 MB
6. Distributions/2. What is a distribution.mp4 64.6 MB
2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 60.9 MB
7. Estimators and estimates/7. Confidence interval clarifications.mp4 59.9 MB
11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 57.0 MB
11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 56.9 MB
13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 53.5 MB
4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 53.4 MB
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5. Practical example descriptive statistics/1. Practical example.mp4 168.3 MB
17. Practical example regression analysis/1. Practical example regression analysis.mp4 135.6 MB
9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 107.6 MB
10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 96.6 MB
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 86.5 MB
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 76.1 MB
8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 72.7 MB
1. Introduction/1. What does the course cover.mp4 72.0 MB
6. Distributions/9. Understanding the central limit theorem.mp4 65.9 MB
6. Distributions/2. What is a distribution.mp4 64.6 MB
2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 60.9 MB
7. Estimators and estimates/7. Confidence interval clarifications.mp4 59.9 MB
11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 57.0 MB
11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 56.9 MB
13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 53.5 MB
4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 53.4 MB
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5. Practical example descriptive statistics/1. Practical example.mp4 168.3 MB
17. Practical example regression analysis/1. Practical example regression analysis.mp4 135.6 MB
9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 107.6 MB
10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 96.6 MB
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 86.5 MB
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 76.1 MB
8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 72.7 MB
1. Introduction/1. What does the course cover.mp4 72.0 MB
6. Distributions/9. Understanding the central limit theorem.mp4 65.9 MB
6. Distributions/2. What is a distribution.mp4 64.6 MB
2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 60.9 MB
7. Estimators and estimates/7. Confidence interval clarifications.mp4 59.9 MB
11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 57.0 MB
11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 56.9 MB
13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 53.5 MB
4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 53.4 MB
11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.mp4 52.9 MB
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03 Project 1--__ Predict Fare of Airlines Tickets using Machine Learning/012 Applying Random Forest on Data & Automate predictions.mp4 198.3 MB
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03 Project 1--__ Predict Fare of Airlines Tickets using Machine Learning/029 How to Cross Validate your model.mp4 129.5 MB
02 Introduction to Data Science/002 Life-cycle of data science project.mp4 121.4 MB
03 Project 1--__ Predict Fare of Airlines Tickets using Machine Learning/007 Perform Label Encoding on data.mp4 113.9 MB
03 Project 1--__ Predict Fare of Airlines Tickets using Machine Learning/006 Handle Categorical Data & Feature Encoding.mp4 89.6 MB
05 Project 3--__ Predict Stock Prices using Time Series Analysis/009 Apply Auto-Arima on data.mp4 86.3 MB
03 Project 1--__ Predict Fare of Airlines Tickets using Machine Learning/021 Intuition Behind Linear Regression- Part 3.mp4 85.8 MB
03 Project 1--__ Predict Fare of Airlines Tickets using Machine Learning/010 Intuition Behind Random Forest Part-1.mp4 81.5 MB
03 Project 1--__ Predict Fare of Airlines Tickets using Machine Learning/016 Intuition Behind Decision Tree- Part 4.mp4 77.1 MB
03 Project 1--__ Predict Fare of Airlines Tickets using Machine Learning/003 Understanding Data & data-preprocessing.mp4 73.8 MB
03 Project 1--__ Predict Fare of Airlines Tickets using Machine Learning/028 Intuition Behind Cross Validation- Part 2.mp4 70.6 MB
05 Project 3--__ Predict Stock Prices using Time Series Analysis/004 Data preparation for Time Series Forecasting.mp4 70.0 MB
03 Project 1--__ Predict Fare of Airlines Tickets using Machine Learning/014 Intuition Behind Decision Tree- Part 2.mp4 66.2 MB
03 Project 1--__ Predict Fare of Airlines Tickets using Machine Learning/017 Intuition Behind Decision Tree- Part 5.mp4 65.1 MB
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~Get Your Files Here !/2. Data and Data Quality (DQ)/10. DQ ToolsTechniques DQ Tool Overview.mp4 218.6 MB
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[Shiniori-Raws] RDG Red Data Girl - 11 (BD 1280x720 x264 10bit AAC).mp4 279.8 MB
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