Introduction to Data Science {AM}
- 收录时间:2018-03-19 03:38:33
- 文件大小:463MB
- 下载次数:35
- 最近下载:2020-09-03 15:52:49
- 磁力链接:
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文件列表
- 7 Mathematics/420305_07_03 - Calculus.mp4 24MB
- 7 Mathematics/420305_07_05 - Bayes probability.mp4 20MB
- 10 Communicating/420305_10_01 - Interpretability.mp4 16MB
- 9 Machine Learning/420305_09_05 - Artificial neural networks.mp4 16MB
- 7 Mathematics/420305_07_01 - Algebra.mp4 15MB
- 4 Data Sources/420305_04_03 - APIs.mp4 15MB
- 9 Machine Learning/420305_09_03 - k-nearest neighbors (kNN).mp4 14MB
- 8 Applied Statistics/420305_08_01 - Hypothesis.mp4 14MB
- 10 Communicating/420305_10_03 - Visualization for presentation.mp4 14MB
- 6 Programming/420305_06_02 - R.mp4 14MB
- 9 Machine Learning/420305_09_04 - Naive Bayes classifiers.mp4 14MB
- 9 Machine Learning/420305_09_02 - Ensembles.mp4 14MB
- 7 Mathematics/420305_07_02 - Systems of equations.mp4 13MB
- 7 Mathematics/420305_07_04 - Big O.mp4 13MB
- 9 Machine Learning/420305_09_01 - Decision trees.mp4 13MB
- 10 Communicating/420305_10_02 - Actionable insights.mp4 12MB
- 8 Applied Statistics/420305_08_02 - Confidence.mp4 12MB
- 8 Applied Statistics/420305_08_03 - Problems.mp4 12MB
- 6 Programming/420305_06_03 - Python.mp4 11MB
- 5 Data Exploration/420305_05_01 - Exploratory graphs.mp4 11MB
- 1 What is Data Science/420305_01_02 - Venn diagram.mp4 11MB
- 1 What is Data Science/420305_01_03 - Pipeline.mp4 11MB
- 5 Data Exploration/420305_05_02 - Exploratory statistics.mp4 10MB
- 4 Data Sources/420305_04_02 - Existing data.mp4 10MB
- 6 Programming/420305_06_05 - Web formats.mp4 10MB
- 6 Programming/420305_06_01 - Spreadsheets.mp4 9MB
- 1 What is Data Science/420305_01_01 - Demand.mp4 9MB
- 10 Communicating/420305_10_04 - Reproducible research.mp4 9MB
- 1 What is Data Science/420305_01_04 - Roles.mp4 9MB
- 4 Data Sources/420305_04_01 - Metrics.mp4 8MB
- 6 Programming/420305_06_04 - SQL.mp4 8MB
- 8 Applied Statistics/420305_08_04 - Validating.mp4 8MB
- 2 Fields of Study/420305_02_01 - Big data.mp4 7MB
- 4 Data Sources/420305_04_05 - Creating data.mp4 7MB
- 11 Conclusion/420305_11_01 - Next steps.mp4 6MB
- 2 Fields of Study/420305_02_02 - Programming.mp4 6MB
- 3 Ethics/420305_03_01 - Ethical issues.mp4 6MB
- 0 Introduction/420305_00_01 - Welcome.mp4 5MB
- 1 What is Data Science/420305_01_05 - Team.mp4 5MB
- 2 Fields of Study/420305_02_03 - Statistics.mp4 5MB
- 4 Data Sources/420305_04_04 - Scrapping.mp4 5MB
- 0 Introduction/420305_00_02 - Exercise files.mp4 1MB
- 0 Introduction/420305_00_03 - What you need to know.mp4 1MB
- Exercise Files/Ex_Files_Intro_Data_Science.zip 948KB
- 0 Introduction/420305_00_04 - Using knowledge checks.mp4 878KB
- 9 Machine Learning/420305_09_06 - Knowledge check_ Machine learning.mp4 757KB
- 10 Communicating/420305_10_05 - Knowledge check_ Communicating.mp4 717KB
- 6 Programming/420305_06_06 - Knowledge check_ Programming.mp4 705KB
- 2 Fields of Study/420305_02_04 - Knowledge check_ Fields of study.mp4 703KB
- 8 Applied Statistics/420305_08_05 - Knowledge check_ Applied statistics.mp4 697KB
- 7 Mathematics/420305_07_06 - Knowledge check_ Mathematics.mp4 689KB
- 4 Data Sources/420305_04_06 - Knowledge check_ Data sources.mp4 672KB
- 5 Data Exploration/420305_05_03 - Knowledge check_ Data exploration.mp4 657KB
- 1 What is Data Science/420305_01_06 - Knowledge check_ What is data science_.mp4 643KB
- 3 Ethics/420305_03_02 - Knowledge check_ Ethics.mp4 642KB
- AM.Torrents.nfo 5KB