{"id":16778897,"url":"https://github.com/omarsar/data_mining_2017_fall_lab","last_synced_at":"2025-09-08T04:34:30.639Z","repository":{"id":151625258,"uuid":"103873150","full_name":"omarsar/data_mining_2017_fall_lab","owner":"omarsar","description":"Contains information and instructions for the first Data Mining lab session for 2017 Fall.","archived":false,"fork":false,"pushed_at":"2018-10-07T10:41:23.000Z","size":1155,"stargazers_count":14,"open_issues_count":1,"forks_count":40,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-04-10T20:56:22.945Z","etag":null,"topics":["data","data-analysis","data-mining","data-science","data-visualization"],"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/omarsar.png","metadata":{"files":{"readme":"README.md","changelog":"news_data_mining.ipynb","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":"2017-09-18T00:35:03.000Z","updated_at":"2023-02-24T02:47:34.000Z","dependencies_parsed_at":"2023-05-25T07:15:41.405Z","dependency_job_id":null,"html_url":"https://github.com/omarsar/data_mining_2017_fall_lab","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/omarsar/data_mining_2017_fall_lab","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/omarsar%2Fdata_mining_2017_fall_lab","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/omarsar%2Fdata_mining_2017_fall_lab/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/omarsar%2Fdata_mining_2017_fall_lab/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/omarsar%2Fdata_mining_2017_fall_lab/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/omarsar","download_url":"https://codeload.github.com/omarsar/data_mining_2017_fall_lab/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/omarsar%2Fdata_mining_2017_fall_lab/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":274134853,"owners_count":25228199,"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","status":"online","status_checked_at":"2025-09-08T02:00:09.813Z","response_time":121,"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":["data","data-analysis","data-mining","data-science","data-visualization"],"created_at":"2024-10-13T07:28:59.287Z","updated_at":"2025-09-08T04:34:30.606Z","avatar_url":"https://github.com/omarsar.png","language":"Jupyter Notebook","readme":"### Lab For Data Mining 2017 Fall @ NTHU\nThis repository contains all the instructions and necessary code for Data Mining 2017 (Fall) lab session.\n\n---\n\n### Computing Resources\n- Operating system: Preferably Linux or MacOS\n- RAM: 8GB\n- Disk space: Minimum 8GB\n\n---\n### Software Requirements\nHere is a list of the required programs and libraries necessary for this lab session:\n- [Python 3+](https://www.python.org/download/releases/3.0/) (Note: coding will be done strictly on Python 3)\n    - Install latest version of Python 3\n- [Anaconda](https://www.anaconda.com/download/) environemnt or any other environement (recommended but not required)\n    - Install anaconda environment\n- [Jupyter](http://jupyter.org/) (Strongly recommended but not required)\n    - Install jupyter\n- [Scikit Learn](http://scikit-learn.org/stable/index.html)\n    - Install `sklearn` latest python library\n- [Pandas](http://pandas.pydata.org/)\n    - Install `pandas` python library\n- [Numpy](http://www.numpy.org/)\n    - Install `numpy` python library\n- [Matplotlib](https://matplotlib.org/)\n    - Install `maplotlib` for python\n- [Plotly](https://plot.ly/)\n    - Install and signup for `plotly`\n- [NLTK](http://www.nltk.org/)\n    - Install `nltk` library\n- [WordCloud](https://github.com/amueller/word_cloud)\n    - Install library for generating word clouds\n\n---\n### Test script\nOpen a Jupyter notebook and run the following commands. If you have properly installed all the necessary libraries you should see no error.\n```python\nimport pandas as pd\nimport numpy as np\nimport nltk\nfrom sklearn.datasets import fetch_20newsgroups\nfrom sklearn.feature_extraction.text import CountVectorizer\nimport plotly.plotly as py\nimport plotly.graph_objs as go\nimport math\n%matplotlib inline\nfrom wordcloud import WordCloud\n# my functions\nimport helpers.data_mining_helpers as dmh\nimport helpers.text_analysis as ta\n```\n\n---\n### Preview of Complete Jupyter Notebook\nhttps://github.com/omarsar/data_mining_2017_fall_lab/blob/master/news_data_mining.ipynb\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fomarsar%2Fdata_mining_2017_fall_lab","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fomarsar%2Fdata_mining_2017_fall_lab","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fomarsar%2Fdata_mining_2017_fall_lab/lists"}