{"id":16507972,"url":"https://github.com/noahgift/core-stats-datascience","last_synced_at":"2025-10-14T06:34:57.513Z","repository":{"id":141809685,"uuid":"229109859","full_name":"noahgift/core-stats-datascience","owner":"noahgift","description":"Core Statistics for Datascience","archived":false,"fork":false,"pushed_at":"2022-02-09T00:50:26.000Z","size":39703,"stargazers_count":31,"open_issues_count":0,"forks_count":37,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-04-08T14:39:32.730Z","etag":null,"topics":["core","data-science","pragmaticai","statistics"],"latest_commit_sha":null,"homepage":"https://noahgift.github.io/core-stats-datascience/","language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Core Statistics for datascience\nCore Statistics for Datascience\n\n## Outline for Talk\n\n#### Part 1:\n\n* [Introduction to Colab \u0026 Introduction to Data Science](https://paiml.github.io/python_for_datascience/intro.html)\n* [Data science key facts](https://github.com/noahgift/core-stats-datascience/blob/master/Data_science_key_facts.ipynb)\n* [Data science libraries](https://paiml.github.io/python_for_datascience/lessons/Lesson9_Python_For_Data_Science_Data_Science_Libraries.html)\n\n#### Part 2:\n\nNotebooks in this repo [EDA, Feature Engineering and Predictive Modeling Theory]:\n\n* [Data Science Workflow](https://github.com/noahgift/core-stats-datascience/blob/master/data_science_workflow.ipynb)\n* [Trends Supervised Learning](https://github.com/noahgift/core-stats-datascience/blob/master/Lesson2_7_Trends_Supervized_Learning.ipynb)\n* [Clustering](https://github.com/noahgift/core-stats-datascience/blob/master/Lesson3_1_Cluster_Analysis.ipynb)\n* [GMM](https://github.com/noahgift/core-stats-datascience/blob/master/Lesson3_2_GMM.ipynb)\n* [PCA](https://github.com/noahgift/core-stats-datascience/blob/master/Lesson3_3_PCA.ipynb)\n* [Recommendations](https://github.com/noahgift/core-stats-datascience/blob/master/Lesson3_5_recommendations.ipynb)\n* [Network Analysis](https://github.com/noahgift/core-stats-datascience/blob/master/network_analysis.ipynb)\n\n#### Part 3 (Bonus):\n\n* Doing ML in the cloud:  walk through census project AWS Sagemaker\n\n### Additional Related Topics from Noah Gift\n\nHis most recent books are:\n\n*   [Pragmatic A.I.:   An introduction to Cloud-Based Machine Learning (Pearson, 2018)](https://www.amazon.com/Pragmatic-AI-Introduction-Cloud-Based-Analytics/dp/0134863860)\n*   [Python for DevOps (O'Reilly, 2020)](https://www.amazon.com/Python-DevOps-Ruthlessly-Effective-Automation/dp/149205769X). \n\nHis most recent video courses are:\n\n*   [Essential Machine Learning and A.I. with Python and Jupyter Notebook LiveLessons (Pearson, 2018)](https://learning.oreilly.com/videos/essential-machine-learning/9780135261118)\n*   [AWS Certified Machine Learning-Specialty (ML-S) (Pearson, 2019)](https://learning.oreilly.com/videos/aws-certified-machine/9780135556597)\n*   [Python for Data Science Complete Video Course Video Training (Pearson, 2019)](https://learning.oreilly.com/videos/python-for-data/9780135687253)\n*   [AWS Certified Big Data - Specialty Complete Video Course and Practice Test Video Training (Pearson, 2019)](https://learning.oreilly.com/videos/aws-certified-big/9780135772324)\n*   [Building A.I. Applications on Google Cloud Platform (Pearson, 2019)](https://learning.oreilly.com/videos/building-ai-applications/9780135973462)\n*   [Pragmatic AI and Machine Learning Core Principles (Pearson, 2019)](https://learning.oreilly.com/videos/pragmatic-ai-and/9780136554714)\n*   [Data Engineering with Python and AWS Lambda (Pearson, 2019)](https://learning.oreilly.com/videos/data-engineering-with/9780135964330)\n\nHis most recent online courses are:\n\n*   [Microservices with this Udacity DevOps Nanodegree (Udacity, 2019)](https://www.udacity.com/course/cloud-dev-ops-nanodegree--nd9991)\n*   [Command Line Automation in Python (DataCamp, 2019)](https://www.datacamp.com/instructors/ndgift)\n*   [AWS Certified Cloud Practitioner 2020-Real World \u0026 Pragmatic](https://www.udemy.com/course/aws-certified-cloud-practitioner-2020-real-world-pragmatic/?referralCode=CAC679A7D08212773428).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnoahgift%2Fcore-stats-datascience","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnoahgift%2Fcore-stats-datascience","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnoahgift%2Fcore-stats-datascience/lists"}