data science -移花宫 -武林禁地，闲人禁止入内

[FreeCoursesOnline.Me] [Pluralsight] Boost Data Science Productivity with PyCharm [FCO]

06.Exploring Data/0602.Exploring a Dataset.mp4 27.4 MB
06.Exploring Data/0605.SQL Queries.mp4 27.1 MB
04.Writing Better Code/0405.Testing.mp4 23.8 MB
06.Exploring Data/0604.R Scripts.mp4 23.3 MB
03.Understanding Code/0307.Running Code.mp4 23.1 MB
04.Writing Better Code/0403.Demo.mp4 21.6 MB
04.Writing Better Code/0406.Version Control with Git.mp4 19.9 MB
03.Understanding Code/0308.Running Tests.mp4 17.9 MB
06.Exploring Data/0603.Jupyter Notebooks.mp4 17.2 MB
05.Debugging Code/0501.Breakpoints.mp4 16.9 MB
06.Exploring Data/0606.Summary.mp4 16.7 MB
01.Course Overview/0101.Course Overview.mp4 16.1 MB
05.Debugging Code/0505.Remote Debugging.mp4 15.0 MB
04.Writing Better Code/0404.Inspections.mp4 14.1 MB
06.Exploring Data/0601.Scientific Mode.mp4 13.8 MB
03.Understanding Code/0301.Projects.mp4 13.7 MB
02.Getting Started/0204.Customizing PyCharm.mp4 13.2 MB
03.Understanding Code/0302.Searching.mp4 13.2 MB
02.Getting Started/0201.Setting Expectations.mp4 13.1 MB
05.Debugging Code/0503.Stepping.mp4 12.7 MB

[磁力链接] 添加时间:2021-03-25 大小:447.7 MB 最近下载:2025-10-05 热度:939

[DesireCourse.Net] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

37. Convolutional Neural Networks/10.1 Section 40 - Convolutional Neural Networks (CNN).zip 234.9 MB
29. Apriori/6. Apriori in Python - Step 4.mp4 172.3 MB
37. Convolutional Neural Networks/16. CNN in Python - FINAL DEMO!.mp4 160.2 MB
43. Model Selection/3. Grid Search in Python.mp4 159.2 MB
17. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp4 153.7 MB
23. Classification Model Selection in Python/2. THE ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION!.mp4 142.6 MB
27. Hierarchical Clustering/7. Hierarchical Clustering in Python - Step 2.mp4 142.5 MB
13. Regression Model Selection in Python/2. Preparation of the Regression Code Templates.mp4 129.6 MB
26. K-Means Clustering/9. K-Means Clustering in Python - Step 5.mp4 126.4 MB
16. Logistic Regression/9. Logistic Regression in Python - Step 7.mp4 124.4 MB
37. Convolutional Neural Networks/13. CNN in Python - Step 3.mp4 124.3 MB
39. Principal Component Analysis (PCA)/3. PCA in Python - Step 1.mp4 118.4 MB
43. Model Selection/2. k-Fold Cross Validation in Python.mp4 117.8 MB
36. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 116.4 MB
21. Decision Tree Classification/3. Decision Tree Classification in Python.mp4 113.3 MB
29. Apriori/4. Apriori in Python - Step 2.mp4 112.9 MB
37. Convolutional Neural Networks/12. CNN in Python - Step 2.mp4 112.1 MB
18. Support Vector Machine (SVM)/4. SVM in Python.mp4 109.9 MB
34. -------------------- Part 7 Natural Language Processing --------------------/5. Bag-Of-Words Model.mp4 108.5 MB
40. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 107.0 MB

[磁力链接] 添加时间:2021-03-25 大小:12.3 GB 最近下载:2025-10-04 热度:1194

[DesireCourse.Net] Udemy - R Programming A-Z™ R For Data Science With Real Exercises!

7. Homework Solutions/2. Homework Solution Section 3 Financial Statement Analysis.mp4 331.4 MB
7. Homework Solutions/4. Homework Solution Section 5 World Trends.mp4 229.1 MB
3. Fundamentals Of R/7. Functions in R.mp4 209.5 MB
4. Matrices/4. Building Your First Matrix.srt 183.0 MB
4. Matrices/4. Building Your First Matrix.mp4 183.0 MB
4. Matrices/12. Basketball Insights.mp4 180.7 MB
4. Matrices/8. Visualizing With Matplot().mp4 180.3 MB
7. Homework Solutions/5. Homework Solution Section 6 Movie Domestic % Gross (Part 1).mp4 171.3 MB
6. Advanced Visualization With GGPlot2/14. Perfecting By Adding Themes.mp4 160.3 MB
7. Homework Solutions/6. Homework Solution Section 6 Movie Domestic % Gross (Part 2).mp4 160.0 MB
6. Advanced Visualization With GGPlot2/13. Coordinates.mp4 158.0 MB
5. Data Frames/4. Exploring your dataset.mp4 156.2 MB
5. Data Frames/10. Building Dataframes.mp4 154.6 MB
6. Advanced Visualization With GGPlot2/11. Statistical Transformations.mp4 150.0 MB
5. Data Frames/6. Basic operations with a Data Frame.mp4 146.6 MB
1. Hit The Ground Running/5. Exercise - Get Excited!.mp4 142.5 MB
4. Matrices/9. Subsetting.mp4 142.3 MB
5. Data Frames/7. Filtering a Data Frame.mp4 135.6 MB
6. Advanced Visualization With GGPlot2/12. Using Facets.mp4 134.5 MB
4. Matrices/11. Creating Your First Function.mp4 130.6 MB

[磁力链接] 添加时间:2021-03-25 大小:7.7 GB 最近下载:2025-09-06 热度:145

[FreeCourseLab.com] Udemy - Tableau 10 A-Z Hands-On Tableau Training For Data Science!

1. It's super easy to get Started/4. Updates on Udemy Reviews.mp4 51.6 MB
7. Advanced Data Preparation/3. Data Interpreter.mp4 39.9 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/1. Section Intro.mp4 29.2 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/6. Data Blending in Tableau.mp4 25.5 MB
4. Maps, Scatterplots, and Your First Dashboard/2. Joining Data in Tableau.mp4 24.9 MB
8. What's new in Tableau 10/2. The Challenge Startup Expansion Analytics.mp4 24.4 MB
8. What's new in Tableau 10/8. Modeling With Clusters.mp4 24.4 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/5. The Showdown Joining Data v.s. Blending Data in Tableau.mp4 23.7 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/8. Creating Calculated Fields in a Blend (Advanced Topic).mp4 23.1 MB
6. Table Calculations, Advanced Dashboards, Storytelling/11. Creating a Storyline.mp4 22.1 MB
4. Maps, Scatterplots, and Your First Dashboard/3. Creating a Map, Working with Hierarchies.mp4 21.9 MB
8. What's new in Tableau 10/3. Custom Territories Via Groups.mp4 21.9 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/7. Dual Axis Chart.mp4 21.7 MB
9. Conclusion/1. Course overview and roadmap download.mp4 20.9 MB
4. Maps, Scatterplots, and Your First Dashboard/7. Adding an Interactive Action - Highlighting.mp4 20.1 MB
6. Table Calculations, Advanced Dashboards, Storytelling/10. Analyzing the Customer Segmentation Dashboard .mp4 19.7 MB
3. Time series, Aggregation, and Filters/5. Creating an Area Chart & Learning About Highlighting.mp4 19.5 MB
4. Maps, Scatterplots, and Your First Dashboard/4. Creating a Scatter Plot, Applying Filters to Multiple Worksheets.mp4 19.4 MB
2. Tableau Basics Your First Bar chart/6. Adding Labels and Formatting.mp4 18.8 MB
3. Time series, Aggregation, and Filters/4. Understanding Aggregation, Granularity, and Level of Detail.mp4 17.6 MB

[磁力链接] 添加时间:2021-03-25 大小:1.0 GB 最近下载:2025-10-12 热度:762

[FreeCourseLab.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

1. Welcome to the course!/5.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/6. Updates on Udemy Reviews.mp4 55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB

[磁力链接] 添加时间:2021-03-25 大小:6.5 GB 最近下载:2025-10-04 热度:59

Курс Data Science и нейронные сети на Python [2020] [Дмитрий Романов]

№ 1 Введение в нейронные сети/Занятие № 1 Введение в нейронные сети НС PRO июль 2020.mp4 1.6 GB
Бонусы.rar 1.5 GB
№ 8 Прямые и свёрточные нейронные сети для обработки аудиосигналов/genres.rar 1.3 GB
№ 2 Полносвязные сети, обучающая и тестовая выборки/Занятие № 2 Полносвязные сети, обучающая и тестовая выборки НС PRO июль 2020.mp4 1.3 GB
№ 6 Нейронные сети для решения задачи регрессии/hh_fixed.csv 615.7 MB
№ 18 Object Detection (обнаружение объектов)/Занятие № 18 Object Detection (обнаружение объектов) _ PRO июль.mkv 456.5 MB
№ 21 Интеграция нейронной сети в Production. Часть 1/Занятие № 21 Интеграция нейронной сети в Production. Часть 1 _ НС Pro июль 2020.mkv 441.4 MB
№ 6 Нейронные сети для решения задачи регрессии/Занятие № 6 Нейронные сети для решения задач регресии НС PRO июль 2020.mkv 414.2 MB
№ 8 Прямые и свёрточные нейронные сети для обработки аудиосигналов/Занятие № 8 Прямые и свёрточные нейронные сети для обработки аудиосигнало.mkv 400.2 MB
№ 11 Генеративные состязательные сети/Занятие № 11 Генеративные состязательные сети НС PRO июль 2020.mkv 389.7 MB
№ 5 Рекуррентные нейронные сети и одномерные свёрточные сети для обработки текстов/Занятие № 5 Рекуррентные НС и одномерные свёрточные сети для обработки текстов НС PRO июль 2020.mkv 387.8 MB
№ 26 Написание нейронных сетей с библиотекой PyTorch. Часть 2/PRO июль 2020 Занятие № 26 Написание нейронных сетей с библиотекой PyTorch. Часть 2.mkv 381.0 MB
№ 4 Обработка текстов с помощью нейросетей/Занятие № 4 Обработка текстов с помощью нейронных сетей НС PRO июль 2020.mkv 374.2 MB
№ 3 Свёрточные нейронные сети/Занятие № 3 Сверточные нейронные сети НС PRO июль 2020.mkv 371.2 MB
№ 25 Написание нейронных сетей с библиотекой PyTorch. Часть 1/Занятие № 25 Написание нейронных сетей с библиотекой PyTorch. Часть 1 PRO НС июль 2020.mkv 364.3 MB
№ 7 Полносвязные и рекуррентные нейронные сети для прогнозирования временных рядов/Занятие № 7 Полносвязные и рекуррентные сети для прогнозирования временных рядов НС PRO июль 2020.mkv 364.2 MB
№ 19 Обучение с подкреплением/Занятие № 19 Обучение с подкреплением НС PRO июль 2020.mkv 363.8 MB
№ 13 Генерация текста/Занятие № 13 Генерация текста НС PRO июль 2020.mkv 353.4 MB
№ 10 Вариационные автокодировщики, генеративные модели на базе автокодировщиков/Занятие № 10 Вариационные автокодировщики, генеративные модели на их базе НС PRO июль 2020.mkv 341.3 MB
№ 15 Введение в генетические алгоритмы/Занятие № 15 Введение в генетические алгоритмы НС PRO июль 2020.mkv 340.2 MB

[磁力链接] 添加时间:2021-03-24 大小:24.3 GB 最近下载:2025-10-12 热度:13547

[Stepik] Big Data для Data Science (2021)

2 Введение в Big Data/2.9 Вебинар №1/1.mp4 221.7 MB
5 Workflow/5.7 Вебинар №4/1.mp4 207.9 MB
3 Apache Hadoop/3.8 Вебинар №2/2.mp4 178.3 MB
4 Apache Spark/4.7 Вебинар №3/1.mp4 171.4 MB
6 Spark ML/6.6 Вебинар №5/1.mp4 165.0 MB
7 BI Tools/7.4 Вебинар №6/1.mp4 72.8 MB
Исходные файлы курса/stepik-ds-course-master.zip 44.4 MB
2 Введение в Big Data/2.1 Зачем в Data Science изучать Big Data/2.mp4 38.3 MB
4 Apache Spark/4.1 Архитектура Spark/4.mp4 35.0 MB
2 Введение в Big Data/2.3 Обработка данных/1.mp4 32.9 MB
2 Введение в Big Data/2.1 Зачем в Data Science изучать Big Data/1.mp4 30.7 MB
5 Workflow/5.2 Архитектура хранилищ Data Warehouse vs Data Lake/2.mp4 29.0 MB
5 Workflow/5.2 Архитектура хранилищ Data Warehouse vs Data Lake/1.mp4 27.9 MB
4 Apache Spark/4.2 Spark Core/2.mp4 27.7 MB
4 Apache Spark/4.3 Data Streaming/7.mp4 26.7 MB
2 Введение в Big Data/2.2 Хранение данных/1.mp4 24.6 MB
4 Apache Spark/4.1 Архитектура Spark/3.mp4 23.4 MB
3 Apache Hadoop/3.6 Hadoop - Практика/1.mp4 20.7 MB
5 Workflow/5.3 Облачные решения/2.mp4 20.3 MB
2 Введение в Big Data/2.3 Обработка данных/2.mp4 20.3 MB

[磁力链接] 添加时间:2021-03-24 大小:2.5 GB 最近下载:2025-10-13 热度:8038

[FreeAllCourse.Com] Udemy - Statistics for Data Science and Business Analysis

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.srt 58.6 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

[磁力链接] 添加时间:2021-03-24 大小:3.1 GB 最近下载:2025-10-12 热度:1155

R Programming A-Z R For Data Science With Real Exercises!

R Programming A-Z R For Data Science With Real Exercises!.zip 7.1 GB
[TGx]Downloaded from torrentgalaxy.to .txt 585 Bytes
TutsNode.com.txt 63 Bytes

[磁力链接] 添加时间:2021-03-24 大小:7.1 GB 最近下载:2025-10-12 热度:5017

[DesireCourse.Net] Udemy - Statistics for Data Science and Business Analysis

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
11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.mp4 52.9 MB

[磁力链接] 添加时间:2021-03-24 大小:3.0 GB 最近下载:2025-10-03 热度:1577

Machine Learning & Data Science Foundations Masterclass

[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/1. Data Structures for Algebra/2. What Linear Algebra Is.mp4 139.5 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/3. Matrix Properties/3. Matrix Multiplication.mp4 135.4 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/1. Data Structures for Algebra/5. Scalars.mp4 100.7 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/3. Matrix Properties/6. Matrix Inversion.mp4 92.9 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/1. Data Structures for Algebra/6. Vectors and Vector Transposition.mp4 75.3 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/1. Data Structures for Algebra/7. Norms and Unit Vectors.mp4 73.9 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/1. Data Structures for Algebra/9. Matrix Tensors.mp4 50.6 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/2. Common Tensor Operations/8. Tensor Elimination.mp4 43.0 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/1. Data Structures for Algebra/10. Generic Tensor Notation.mp4 41.6 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/2. Common Tensor Operations/7. Tensor Substitution.mp4 39.7 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/1. Data Structures for Algebra/3. Linear Algebra Exercise.mp4 39.3 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/2. Common Tensor Operations/3. Basic Tensor Arithmetic, incl. the Hadamard Product.mp4 35.6 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/2. Common Tensor Operations/5. The Dot Product.mp4 34.5 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/3. Matrix Properties/5. Exercises on Matrices.mp4 31.3 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/3. Matrix Properties/8. Orthogonal Matrices.mp4 31.0 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/1. Data Structures for Algebra/8. Basis, Orthogonal, and Orthonormal Vectors.mp4 29.1 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/3. Matrix Properties/4. Symmetric Matrices.mp4 25.0 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/2. Common Tensor Operations/2. Tensor Transposition.mp4 24.6 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/3. Matrix Properties/2. Frobenius Norm.mp4 23.6 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/2. Common Tensor Operations/4. Tensor Reduction.mp4 19.3 MB

[磁力链接] 添加时间:2021-03-23 大小:1.2 GB 最近下载:2025-09-24 热度:1421

COVID-19 - Viral Issue Crucial Update - the Science, Logic and Data Explained! (08Sep2020)

COVID-19 - Viral Issue Crucial Update - the Science, Logic and Data Explained! (08Sep2020).mp4 68.1 MB
The Transmission of Epidemic Influenza/The Transmission of Epidemic Influenza - R. Edgar Hope-Simpson.pdf 24.4 MB
Lockdown Efficacy Analysis Papers/1. LOCKDOWN ADDED LITTLE OR NOTHING Woods Hole Analysis.pdf 5.5 MB
Lockdown Efficacy Analysis Papers/5. LOCKDOWN ADDED LITTLE OR NOTHING R NUMBER Inferring COVID-19 spreading rates and potential change points.pdf 1.5 MB
Lockdown Efficacy Analysis Papers/3. LOCKDOWN ADDED LITTLE OR NOTHING NIH Impact of non-pharmaceutical interventions against COVID-19 in Europe.pdf 870.0 kB
Lockdown Efficacy Analysis Papers/6. LOCKDOWN ADDED LITTLE OR NOTHING PROF BEN ISRAEL.pdf 620.4 kB
Lockdown Efficacy Analysis Papers/4. LOCKDOWN ADDED LITTLE OR NOTHING BRISTOL Did COVID-19 infections decline before UK lockdown.pdf 335.2 kB
Lockdown Efficacy Analysis Papers/7. LOCKDOWN ADDED LITTLE OR NOTHING GERMAN KOCH R0 to 1 before lockdown.pdf 275.1 kB
Lockdown Efficacy Analysis Papers/2. LOCKDOWN ADDED LITTLE OR NOTHING HOMBURG 2020-Comment-Flaxman Preprint SAGE Neil Ferguson Sham Paper on Lives Saved.pdf 259.6 kB
Subs/COVID-19 - Viral Issue Crucial Update - the Science, Logic and Data Explained! (08Sep2020).srt 68.5 kB

[磁力链接] 添加时间:2021-03-23 大小:101.8 MB 最近下载:2025-01-06 热度:324

[ FreeCourseWeb.com ] Lynda - Python for Data Science Essential Training Part 1.zip

[ FreeCourseWeb.com ] Lynda - Python for Data Science Essential Training Part 1.zip 677.0 MB

[磁力链接] 添加时间:2021-03-23 大小:677.0 MB 最近下载:2025-10-13 热度:1181

[GigaCourse.com] Udemy - Statistics for Data Science and Business Analysis

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
11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.mp4 52.9 MB

[磁力链接] 添加时间:2021-03-22 大小:3.0 GB 最近下载:2025-10-08 热度:1667

Python 3 Data Science - Time Series with Pandas.rar

Python 3 Data Science - Time Series with Pandas.rar 5.7 GB

[磁力链接] 添加时间:2021-03-22 大小:5.7 GB 最近下载:2025-10-09 热度:1482

Data Science with Plotly, NumPy, Matplotlib, and Pandas

Data Science with Plotly, NumPy, Matplotlib, and Pandas.zip 5.1 GB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
TutsGalaxy.com.txt 52 Bytes

[磁力链接] 添加时间:2021-03-22 大小:5.1 GB 最近下载:2025-10-12 热度:6449

[ DevCourseWeb.com ] Udemy - R Programming for Data Science and Machine Learning.zip

[ DevCourseWeb.com ] Udemy - R Programming for Data Science and Machine Learning.zip 1.5 GB

[磁力链接] 添加时间:2021-03-22 大小:1.5 GB 最近下载:2025-07-22 热度:480

[FreeCourseLab.com] Udemy - R Programming Advanced Analytics In R For Data Science

2. Data Preparation/3. Updates on Udemy Reviews.mp4 61.2 MB
3. Lists in R/2. Project Brief Machine Utilization.mp4 55.7 MB
2. Data Preparation/17. Replacing Missing Data Median Imputation Method (Part 1).mp4 51.3 MB
2. Data Preparation/11. An Elegant Way To Locate Missing Data.mp4 50.8 MB
2. Data Preparation/9. Dealing with Missing Data.mp4 44.7 MB
2. Data Preparation/15. Reseting the dataframe index.mp4 41.1 MB
4. Apply Family of Functions/7. Using lapply().mp4 40.6 MB
3. Lists in R/4. Handling Date-Times in R.mp4 40.5 MB
3. Lists in R/10. Creating A Timeseries Plot.mp4 40.1 MB
3. Lists in R/5. What is a List.mp4 37.7 MB
4. Apply Family of Functions/10. Using sapply().mp4 36.6 MB
2. Data Preparation/8. gsub() and sub().mp4 34.7 MB
3. Lists in R/8. Adding and deleting components.mp4 34.1 MB
4. Apply Family of Functions/12. which.max() and which.min() (advanced topic).mp4 34.0 MB
2. Data Preparation/21. Visualizing results.mp4 33.4 MB
2. Data Preparation/12. Data Filters which() for Non-Missing Data.mp4 31.5 MB
2. Data Preparation/5. What are Factors (Refresher).mp4 30.7 MB
1. Welcome To The Course/1. Welcome to the Advanced R Programming Course!.mp4 30.5 MB
4. Apply Family of Functions/3. Import Data into R.mp4 29.4 MB
4. Apply Family of Functions/9. Adding your own functions.mp4 29.4 MB

[磁力链接] 添加时间:2021-03-22 大小:1.3 GB 最近下载:2025-10-07 热度:1203

[Udemy] [2021] Tableau 2020 A-Z Hands-on Tableau For Data Science (2021) [En]

35 Pivot Table and Dashboards in Excel/002 Excel If Nested Ifs Functions with its Alternatives.mp4 615.8 MB
35 Pivot Table and Dashboards in Excel/001 Pivot Table and its Properties.mp4 594.8 MB
39 Understanding Expressions and Statements/002 Power Query Analytics Tool.mp4 557.2 MB
34 Basic Excel Functions/006 Excel Function Sumproduct_Count_ifs.mp4 546.3 MB
36 Excel Shortcuts and Conditional Formatting/003 Office 365 Functions and Exercises.mp4 504.0 MB
36 Excel Shortcuts and Conditional Formatting/001 Aggregate Functions and Excel Practices.mp4 433.3 MB
33 Introduction to Lookup Functions/002 Vlookup with Multiple Criteria.mp4 423.8 MB
36 Excel Shortcuts and Conditional Formatting/002 Excel Keyboard Shortcuts.mp4 415.8 MB
38 Introduction to VBA_ Visual Basic for Applications/004 Basics of VBA for Each loop and Exercises.mp4 400.7 MB
32 Sorting , Freeze Panes, Insert Rows etc/001 Sorting , Freeze Panes, Insert Rows etc.mp4 392.1 MB
38 Introduction to VBA_ Visual Basic for Applications/002 Excel VBA Basics.mp4 371.5 MB
34 Basic Excel Functions/003 Count Function Series.mp4 351.1 MB
38 Introduction to VBA_ Visual Basic for Applications/006 Functions and Exercises.mp4 337.3 MB
34 Basic Excel Functions/001 Functions and Exercises.mp4 337.1 MB
34 Basic Excel Functions/005 Sum with IF and Sum product Series.mp4 333.9 MB
34 Basic Excel Functions/002 Advanced Filter.mp4 331.4 MB
38 Introduction to VBA_ Visual Basic for Applications/003 Excel Basics of VBA Combo Box and Exercises.mp4 312.8 MB
35 Pivot Table and Dashboards in Excel/003 Conditional Formatting.mp4 296.7 MB
33 Introduction to Lookup Functions/003 Two Way Lookup.mp4 291.9 MB
37 Basic Functions in Excel/001 Xlookup Function with Mod and Time Functions.mp4 279.9 MB

[磁力链接] 添加时间:2021-03-22 大小:14.8 GB 最近下载:2025-10-11 热度:2433

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[ DevCourseWeb.com ] Udemy - Learn Data Science - Practical Machine Learning Projects.zip 1.8 GB

[磁力链接] 添加时间:2021-03-22 大小:1.8 GB 最近下载:2025-02-12 热度:429