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[FreeCoursesOnline.Me] [Skillshare] Data Science and Machine Learning Prerequisite Mathematics [FCO]
12-Statistical Function in Excel.mp4
78.7 MB
0-Measure of central tendency.mp4
26.8 MB
10-Union Intersection of complement of event.mp4
22.4 MB
8-Combinations.mp4
20.9 MB
6-Permutations.mp4
18.7 MB
3-Quartiles and Interquartile range.mp4
15.0 MB
11-Independent and dependent event.mp4
12.7 MB
1-Mean vs Median.mp4
12.2 MB
2-Measure of Dispersion.mp4
11.2 MB
9-Introduction to Probability.mp4
10.1 MB
5-CoVariance and Pearson correlation.mp4
9.7 MB
4-Correlation vs Causality.mp4
7.7 MB
7-Permutations Exercise.mp4
7.4 MB
FreeCoursesOnline.Me.html
110.9 kB
FTUForum.com.html
102.8 kB
Discuss.FTUForum.com.html
32.7 kB
tmp files.zip
12.8 kB
How you can help Team-FTU.txt
235 Bytes
NulledPremium.com.url
163 Bytes
Torrent Downloaded From GloDls.to.txt
84 Bytes
[磁力链接]
添加时间:
2021-03-26
大小:
253.7 MB
最近下载:
2025-05-31
热度:
925
[Udemy] Statistics for Data Science and Business Analysis (2020)
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
04 Measures of central tendency asymmetry and variability/018 Measuring how data is spread out calculating variance.mp4
53.4 MB
11 Hypothesis testing Lets start testing/062 Test for the mean. Dependent samples.mp4
52.9 MB
[磁力链接]
添加时间:
2021-03-26
大小:
3.0 GB
最近下载:
2025-06-01
热度:
2355
[ DevCourseWeb.com ] Udemy - Data Science Practical - Real world Machine Learning Projects.zip
[ DevCourseWeb.com ] Udemy - Data Science Practical - Real world Machine Learning Projects.zip
1.9 GB
[磁力链接]
添加时间:
2021-03-26
大小:
1.9 GB
最近下载:
2025-06-01
热度:
2621
Complete Data Science Training with Python for Data Analysis.rar
Complete Data Science Training with Python for Data Analysis.rar
2.4 GB
[磁力链接]
添加时间:
2021-03-25
大小:
2.4 GB
最近下载:
2025-05-31
热度:
277
[ FreeCourseWeb.com ] Udemy - Data Science - Complete Alteryx Bootcamp (Hands-on Alteryx).zip
[ FreeCourseWeb.com ] Udemy - Data Science - Complete Alteryx Bootcamp (Hands-on Alteryx).zip
2.7 GB
[磁力链接]
添加时间:
2021-03-25
大小:
2.7 GB
最近下载:
2025-05-27
热度:
746
[FreeCourseSite.com] Udemy - Data Science Natural Language Processing (NLP) in Python
10. Appendix/2. Windows-Focused Environment Setup 2018.mp4
195.5 MB
9. Machine Learning Basics Review/3. (Review) Classification in Code.mp4
146.3 MB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4
82.1 MB
6. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.mp4
82.0 MB
4. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ.mp4
81.5 MB
9. Machine Learning Basics Review/2. (Review) What is Classification.mp4
74.1 MB
9. Machine Learning Basics Review/5. (Review) Regression in Code.mp4
72.7 MB
9. Machine Learning Basics Review/9. (Review) Comparing Different Machine Learning Models.mp4
56.2 MB
9. Machine Learning Basics Review/4. (Review) What is Regression.mp4
52.0 MB
9. Machine Learning Basics Review/1. (Review) Machine Learning Section Introduction.mp4
47.0 MB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
46.0 MB
4. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression.mp4
45.7 MB
9. Machine Learning Basics Review/10. (Review) Machine Learning and Deep Learning Future Topics.mp4
42.8 MB
3. Build your own spam detector/4. Naive Bayes Concepts.mp4
41.6 MB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
40.9 MB
9. Machine Learning Basics Review/6. (Review) What is a Feature Vector.mp4
39.8 MB
10. Appendix/11. What order should I take your courses in (part 2).mp4
39.4 MB
7. Write your own article spinner/2. More about Language Models.mp4
38.4 MB
3. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise.mp4
32.1 MB
10. Appendix/10. What order should I take your courses in (part 1).mp4
30.7 MB
[磁力链接]
添加时间:
2021-03-25
大小:
1.8 GB
最近下载:
2025-05-11
热度:
743
[DesireCourse.Net] Udemy - R Programming for Statistics and Data Science 2020
11. Hypothesis Testing/1. Distributions.mp4
112.1 MB
11. Hypothesis Testing/3. Hypothesis testing.mp4
86.2 MB
11. Hypothesis Testing/2. Standard Error and Confidence Intervals.mp4
68.8 MB
11. Hypothesis Testing/7. The P-value.mp4
63.6 MB
11. Hypothesis Testing/5. Test for the mean - population variance known.mp4
61.5 MB
12. Linear Regression Analysis/1. The linear regression model.mp4
60.3 MB
11. Hypothesis Testing/8. Test for the mean - Population variance unknown.mp4
57.4 MB
6. Fundamentals of programming with R/16. Building a function in R 2.0 - Scoping.mp4
54.3 MB
12. Linear Regression Analysis/5. How to interpret the regression table.mp4
52.7 MB
5. Matrices/18. Lists in R.mp4
52.7 MB
11. Hypothesis Testing/10. Comparing two means - Dependent samples.mp4
51.6 MB
12. Linear Regression Analysis/7. Decomposition of variability SST, SSR, SSE.mp4
51.6 MB
1. Introduction/1. Ten Things You Will Learn in This Course.mp4
51.3 MB
11. Hypothesis Testing/12. Comparing two means - Independent samples.mp4
46.5 MB
3. The building blocks of R/1. Creating an object in R.mp4
46.1 MB
11. Hypothesis Testing/4. Type I and Type II errors.mp4
43.7 MB
12. Linear Regression Analysis/4. First regression in R.mp4
39.8 MB
12. Linear Regression Analysis/8. R-squared.mp4
36.1 MB
6. Fundamentals of programming with R/15. Building a function in R 2.0.mp4
33.3 MB
5. Matrices/14. Categorical data.mp4
32.3 MB
[磁力链接]
添加时间:
2021-03-25
大小:
1.9 GB
最近下载:
2025-06-01
热度:
3381
[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:
2025-05-30
热度:
899
[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:
2025-05-26
热度:
1168
[NulledPremium.com] Big Data Science & Analytics
Big Data Analytics - A Hands-On Approach.pdf
113.7 MB
Websites you may like/1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url
328 Bytes
Websites you may like/5. (Discuss.FTUForum.com) FTU Discussion Forum.url
294 Bytes
Websites you may like/2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url
286 Bytes
Websites you may like/4. (FTUApps.com) Download Cracked Developers Applications For Free.url
239 Bytes
Websites you may like/How you can help Team-FTU.txt
237 Bytes
NulledPremium.com.url
163 Bytes
Websites you may like/3. (NulledPremium.com) Download Cracked Website Themes, Plugins, Scripts And Stock Images.url
163 Bytes
[磁力链接]
添加时间:
2021-03-25
大小:
113.7 MB
最近下载:
2025-05-31
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:
2024-07-04
热度:
128
[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:
2025-05-06
热度:
599
[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:
2024-11-21
热度:
58
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:
2025-05-31
热度:
12518
[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:
2025-05-31
热度:
7221
[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:
2025-06-01
热度:
1088
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:
2025-06-01
热度:
4488
[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:
2025-05-31
热度:
1544
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:
2025-05-31
热度:
1405
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
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添加时间:
2021-03-23
大小:
101.8 MB
最近下载:
2025-01-06
热度:
324
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