{"id":18851876,"url":"https://github.com/dilkushsingh/data-science","last_synced_at":"2025-09-16T04:23:18.729Z","repository":{"id":247197656,"uuid":"715072391","full_name":"dilkushsingh/Data-Science","owner":"dilkushsingh","description":"I shall be uploading all the notebooks and learning material in this repo for Data Science.","archived":false,"fork":false,"pushed_at":"2024-08-24T10:32:36.000Z","size":43853,"stargazers_count":5,"open_issues_count":0,"forks_count":3,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-27T23:12:22.182Z","etag":null,"topics":["matplotlib","numpy","pandas","plotly","python","seaborn"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dilkushsingh.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2023-11-06T12:28:53.000Z","updated_at":"2024-08-24T10:32:39.000Z","dependencies_parsed_at":"2024-11-08T03:47:05.366Z","dependency_job_id":null,"html_url":"https://github.com/dilkushsingh/Data-Science","commit_stats":null,"previous_names":["dilkushsingh/data-science"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dilkushsingh%2FData-Science","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dilkushsingh%2FData-Science/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dilkushsingh%2FData-Science/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dilkushsingh%2FData-Science/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dilkushsingh","download_url":"https://codeload.github.com/dilkushsingh/Data-Science/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248860371,"owners_count":21173339,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["matplotlib","numpy","pandas","plotly","python","seaborn"],"created_at":"2024-11-08T03:36:58.992Z","updated_at":"2025-09-16T04:23:13.683Z","avatar_url":"https://github.com/dilkushsingh.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Data Science\n\nIn this GitHub repository, I am uploading my learnings in Data Science.\n\n## Contents\n\n### Python\nPython is the most important and basic requirement in Data Science. I have included fundamental and advanced concepts to build a solid foundation.\n[Python PDF Notes](https://github.com/dilkushsingh/Data-Science/blob/main/1.%20Python/Python%20Handwritten%20Notes%20By%20Dilkush%20Singh.pdf)\n[Python Code](https://github.com/dilkushsingh/100-Days-of-Python)\n\n### Numpy\nNumpy is a powerful library for numerical computations in Python. Here, you'll find various operations on arrays, mathematical functions, and more.\n[NumPy](https://github.com/dilkushsingh/Data-Science/tree/main/2.%20NumPy)\n\n### Pandas\nPandas is essential for data manipulation and analysis. This section covers data structures like Series and DataFrame, along with data cleaning, transformation, and aggregation techniques.\n[Pandas](https://github.com/dilkushsingh/Data-Science/tree/main/3.%20Pandas)\n\n### Matplotlib\nMatplotlib is a widely used plotting library in Python. I've included examples and tutorials on creating various types of visualizations to help you understand data better.\n[Matplotlib](https://github.com/dilkushsingh/Data-Science/tree/main/4.%20Matplotlib)\n\n### Seaborn\nSeaborn is built on top of Matplotlib and provides a high-level interface for drawing attractive and informative statistical graphics. This section showcases how to create different plots and perform exploratory data analysis.\n[Seaborn](https://github.com/dilkushsingh/Data-Science/tree/main/5.%20Seaborn)\n\n### Plotly\nPlotly is a versatile graphing library that allows you to create interactive plots. In this section, I've explored various types of interactive visualizations, from basic charts to complex dashboards, which can be extremely useful for data analysis and presentation.\n[Plotly](https://github.com/dilkushsingh/Data-Science/tree/main/6.%20Plotly)\n\n### Data Analysis Process\nData Analysis Process, it is iterative and non-linear but highly structured. From asking the right questions to effectively communicating results, each step plays a crucial role in deriving meaningful insights.\n- Asking the Right Questions - Starting with strong questions is key. \n- Data Wrangling/Munging - Transforming raw data into a valuable format.\n- Exploratory Data Analysis (EDA) - Unveiling insights through data exploration.\n- Drawing Conclusions - Using techniques like Machine Learning and Statistics.\n- Communicating Results - Sharing outcomes effectively through reports, presentations, and more.\n  [Data Analysis Process](https://github.com/dilkushsingh/Data-Science/tree/main/7.%20Data%20Analysis%20Process)\n\n## Contact\n\nIf you want to contact me, you can reach out through the following channels:\n- Email: [work.dilkushsingh@gmail.com](mailto:work.dilkushsingh@gmail.com)\n- LinkedIn: [Dilkush Singh](https://linkedin.com/in/dilkushsingh)\n- Portfolio: [Dilkush Singh](https://dilkushsingh.github.io)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdilkushsingh%2Fdata-science","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdilkushsingh%2Fdata-science","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdilkushsingh%2Fdata-science/lists"}