{"id":21347859,"url":"https://github.com/a3darekar/analytics-notebooks","last_synced_at":"2026-05-11T16:38:20.019Z","repository":{"id":106643683,"uuid":"197509761","full_name":"a3darekar/analytics-notebooks","owner":"a3darekar","description":"Jupyter notebooks for demonstration of data analytics using python","archived":false,"fork":false,"pushed_at":"2019-08-09T15:38:45.000Z","size":810,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-03-16T04:17:37.002Z","etag":null,"topics":["analytics-notebooks","data-analytics","data-science","jupyter-notebooks","python"],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/a3darekar.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-07-18T04:10:18.000Z","updated_at":"2024-05-25T16:48:10.000Z","dependencies_parsed_at":null,"dependency_job_id":"6d9a7693-298e-4abf-b847-a41d2a8a8b21","html_url":"https://github.com/a3darekar/analytics-notebooks","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/a3darekar/analytics-notebooks","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/a3darekar%2Fanalytics-notebooks","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/a3darekar%2Fanalytics-notebooks/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/a3darekar%2Fanalytics-notebooks/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/a3darekar%2Fanalytics-notebooks/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/a3darekar","download_url":"https://codeload.github.com/a3darekar/analytics-notebooks/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/a3darekar%2Fanalytics-notebooks/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32903854,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-10T13:40:02.631Z","status":"online","status_checked_at":"2026-05-11T02:00:05.975Z","response_time":120,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["analytics-notebooks","data-analytics","data-science","jupyter-notebooks","python"],"created_at":"2024-11-22T02:16:53.666Z","updated_at":"2026-05-11T16:38:20.002Z","avatar_url":"https://github.com/a3darekar.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# analytics-notebooks\nJupyter notebooks for demonstration of data analytics using python\n\nThis is where I will be posting everything I learn about data analytics and data science in the form of [Jupyter Notebooks](https://ipython.org/notebook.html)\n\nPlease watch or star the repository to follow along with me if you are interested in learning data science with me, as I try to upload one or two notebooks every week.\n\nPlease provide feedback in case suggestions or issues on my [email](mailto:darekar.amey@gmail.com).\n\n### Index:\n\n1. [Basics](https://github.com/knowhere1998/analytics-notebooks/tree/master/1%20-%20basics)  \n\t1.1 Learn basics of python libraries - pandas and numpy  \n\t1.2 Performing statistical analysis on data to find statistical measures like central tendencies, percentiles.  \n\t1.3 Probabilistic analysis like Probability distribution functions, Corelation, Covariation.  \n\n2. [Visualization](https://github.com/knowhere1998/analytics-notebooks/tree/master/2%20-%20visualizations)  \n\t2.1 MatplotLib Demonstration with examples of Line Graph, Pie Chart, Bar Graph, Histogram, Boxplot.  \n\t2.2 Histogram and Boxplot - Use of iris database to visualize histogram and boxplot using pandas, numpy and MatplotLib  \n\n3. [Predictive Models using Regression](https://github.com/knowhere1998/analytics-notebooks/tree/master/3%20-%20regression)  \n\t3.1 Linear Regression  \n\t3.2 Polynomial Regression  \n\n### How to get started:\n\n- Clone the repository to your system\n\n```\ngit clone https://github.com/knowhere1998/analytics-notebooks/\n\n```\n\n- Create a [Virtual environment](https://realpython.com/python-virtual-environments-a-primer/)(optional but recommended)\n\n\n\tfor Python 2:\n\t```\n\t\n\t\t$ virtualenv env\n\t```\n\tfor Python 3\n\n\t```\n\t\n\t\t$ python3 -m venv env\n\n\t```\n\n- activate your virtual environment.\n\n```\n\n\tsource env/bin/activate\n\n```\n\nYou can use [anaconda/conda](https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#creating-an-environment-with-commands) to initialize virtual environment instead of forementioned steps  \n\n\n- install all requirements using pip\n\n```\n\npip install -r requirements.txt\n\n```\n\n- run jupyeter server\n\n```\njupyter notebook\n\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fa3darekar%2Fanalytics-notebooks","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fa3darekar%2Fanalytics-notebooks","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fa3darekar%2Fanalytics-notebooks/lists"}