Introduction to Data Science {AM}
| 文件类型 | 收录时间 | 最后活跃 | 资源热度 | 文件大小 | 文件数量 |
|---|---|---|---|---|---|
| 视频 | 2016-10-1 19:26 | 2025-2-3 04:26 | 64 | 462.48 MB | 54 |
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文件列表
- 3 Ethics/420305_03_02 - Knowledge check_ Ethics.mp4642.46KB
- 1 What is Data Science/420305_01_06 - Knowledge check_ What is data science_.mp4642.63KB
- 5 Data Exploration/420305_05_03 - Knowledge check_ Data exploration.mp4657.45KB
- 4 Data Sources/420305_04_06 - Knowledge check_ Data sources.mp4672.14KB
- 7 Mathematics/420305_07_06 - Knowledge check_ Mathematics.mp4689.47KB
- 8 Applied Statistics/420305_08_05 - Knowledge check_ Applied statistics.mp4697.05KB
- 2 Fields of Study/420305_02_04 - Knowledge check_ Fields of study.mp4702.89KB
- 6 Programming/420305_06_06 - Knowledge check_ Programming.mp4704.64KB
- 10 Communicating/420305_10_05 - Knowledge check_ Communicating.mp4716.56KB
- 9 Machine Learning/420305_09_06 - Knowledge check_ Machine learning.mp4757.2KB
- 0 Introduction/420305_00_04 - Using knowledge checks.mp4878.16KB
- 0 Introduction/420305_00_03 - What you need to know.mp41.07MB
- 0 Introduction/420305_00_02 - Exercise files.mp41.11MB
- 4 Data Sources/420305_04_04 - Scrapping.mp44.53MB
- 2 Fields of Study/420305_02_03 - Statistics.mp44.72MB
- 1 What is Data Science/420305_01_05 - Team.mp45.39MB
- 0 Introduction/420305_00_01 - Welcome.mp45.45MB
- 3 Ethics/420305_03_01 - Ethical issues.mp45.94MB
- 2 Fields of Study/420305_02_02 - Programming.mp45.96MB
- 11 Conclusion/420305_11_01 - Next steps.mp46.35MB
- 4 Data Sources/420305_04_05 - Creating data.mp47.11MB
- 2 Fields of Study/420305_02_01 - Big data.mp47.46MB
- 8 Applied Statistics/420305_08_04 - Validating.mp48.14MB
- 6 Programming/420305_06_04 - SQL.mp48.2MB
- 4 Data Sources/420305_04_01 - Metrics.mp48.37MB
- 1 What is Data Science/420305_01_04 - Roles.mp48.65MB
- 10 Communicating/420305_10_04 - Reproducible research.mp48.65MB
- 1 What is Data Science/420305_01_01 - Demand.mp48.73MB
- 6 Programming/420305_06_01 - Spreadsheets.mp49.03MB
- 6 Programming/420305_06_05 - Web formats.mp49.59MB
- 4 Data Sources/420305_04_02 - Existing data.mp49.62MB
- 5 Data Exploration/420305_05_02 - Exploratory statistics.mp410.36MB
- 1 What is Data Science/420305_01_03 - Pipeline.mp410.5MB
- 1 What is Data Science/420305_01_02 - Venn diagram.mp410.56MB
- 5 Data Exploration/420305_05_01 - Exploratory graphs.mp410.63MB
- 6 Programming/420305_06_03 - Python.mp411.29MB
- 8 Applied Statistics/420305_08_03 - Problems.mp412.35MB
- 8 Applied Statistics/420305_08_02 - Confidence.mp412.41MB
- 10 Communicating/420305_10_02 - Actionable insights.mp412.42MB
- 9 Machine Learning/420305_09_01 - Decision trees.mp412.74MB
- 7 Mathematics/420305_07_04 - Big O.mp413.12MB
- 7 Mathematics/420305_07_02 - Systems of equations.mp413.38MB
- 9 Machine Learning/420305_09_02 - Ensembles.mp413.81MB
- 9 Machine Learning/420305_09_04 - Naive Bayes classifiers.mp413.82MB
- 6 Programming/420305_06_02 - R.mp414.02MB
- 10 Communicating/420305_10_03 - Visualization for presentation.mp414.04MB
- 8 Applied Statistics/420305_08_01 - Hypothesis.mp414.16MB
- 9 Machine Learning/420305_09_03 - k-nearest neighbors (kNN).mp414.42MB
- 4 Data Sources/420305_04_03 - APIs.mp414.88MB
- 7 Mathematics/420305_07_01 - Algebra.mp415.03MB
- 9 Machine Learning/420305_09_05 - Artificial neural networks.mp416.14MB
- 10 Communicating/420305_10_01 - Interpretability.mp416.35MB
- 7 Mathematics/420305_07_05 - Bayes probability.mp420.35MB
- 7 Mathematics/420305_07_03 - Calculus.mp424.06MB
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