{"id":20878731,"url":"https://github.com/mmbazel/springboard-datasciencetrack-student","last_synced_at":"2025-07-06T11:33:06.850Z","repository":{"id":41172905,"uuid":"152792974","full_name":"MMBazel/Springboard-DataScienceTrack-Student","owner":"MMBazel","description":"Springboard Program: Data Science Career Track - NLP","archived":false,"fork":false,"pushed_at":"2021-05-10T11:38:10.000Z","size":66381,"stargazers_count":135,"open_issues_count":2,"forks_count":79,"subscribers_count":6,"default_branch":"master","last_synced_at":"2023-11-07T19:11:10.549Z","etag":null,"topics":["capstone","data-science","data-wrangling","datasciencedreamjob","dsdj","mikikobazeley","nlp","python","springboard"],"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/MMBazel.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}},"created_at":"2018-10-12T18:33:20.000Z","updated_at":"2023-10-26T13:29:27.000Z","dependencies_parsed_at":"2022-07-14T23:30:30.279Z","dependency_job_id":null,"html_url":"https://github.com/MMBazel/Springboard-DataScienceTrack-Student","commit_stats":null,"previous_names":[],"tags_count":0,"template":null,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MMBazel%2FSpringboard-DataScienceTrack-Student","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MMBazel%2FSpringboard-DataScienceTrack-Student/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MMBazel%2FSpringboard-DataScienceTrack-Student/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MMBazel%2FSpringboard-DataScienceTrack-Student/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MMBazel","download_url":"https://codeload.github.com/MMBazel/Springboard-DataScienceTrack-Student/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":225142246,"owners_count":17427367,"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":["capstone","data-science","data-wrangling","datasciencedreamjob","dsdj","mikikobazeley","nlp","python","springboard"],"created_at":"2024-11-18T07:14:05.356Z","updated_at":"2024-11-18T07:14:05.772Z","avatar_url":"https://github.com/MMBazel.png","language":"Jupyter Notebook","funding_links":["https://www.buymeacoffee.com/mmbazel"],"categories":[],"sub_categories":[],"readme":"![alt text](\n       https://github.com/MMBazel/springboard-program/blob/master/0.jpg\n      )\n\n\n# Springboard Data Science Career Track\n\nHi!\n\nMy name is Mikiko Bazeley and this is my repo for the Springboard Data Science Track. \n\nFrom Oct 2018 to April 2019 I completed a number of projects, including two capstones, as part of the DS track. \n\nAll of the documentation, code, and notes can be found here, as well as links to other resources I found helpful for successfully completing the program. \n\nFor questions or comments, please feel free to reach out on [LinkedIn](https://www.linkedin.com/in/mikikobazeley/). \n\nIf you find my repo useful, let me know OR ☕ consider buying me a coffee! https://www.buymeacoffee.com/mmbazel ☕.\n\nRegards,\nMikiko\n\n![alt text](\n       https://github.com/MMBazel/springboard-program/blob/master/Additional%20Resources/profile_pic_jpeg.jpg?raw=true\n      )\n\n\n--------------------------------------------------------------------------------------------------------------------------------\n# Project List by Unit of Study\n\nFor a comprehensve list of the projects and corresponding skills needed, please see the list below.\n\n## 1. The Python Data Science Stack\nTopics covered: \n* Python      \n* Matplotlib, Seaborn—visualization tools in Python  \n* Writing clear, elegant, readable code\n       in Python using the PEP8 standard\n\n## 2. Data Wrangling\nTopics covered:\n* Deep dive into Pandas for data wrangling\n* Data in files: Work with a variety of file formats from plain text (.txt) to more structured and nested formats files like csv and JSON\n* Data in databases: Get an overview of relational and NoSQL databases and practice data querying with SQL\n* APIs: Collect data from the internet using Application Programming Interfaces (APIs)\n\nProjects:\n* =====\u003e [Mini Project: SQL Practice](https://github.com/MMBazel/springboard-program/tree/master/mini-projects/Ch%205%20-%20Data%20Wrangling/5.3%20SQL%20Practice)\n\n\n\n## 3. Data Story\n\n## 4. Statistical Inference\nTopics covered:\n* Theory of inferential statistics\n* Statistical significance\n* Parameter estimation\n* Hypothesis testing\n* Correlation and regression\n* Exploratory data analysis\n* A/B testing\n\n\n## 5. Machine Learning\nTopics covered:\n* Scikit-learn\n* Supervised and unsupervised learning\n* Top machine learning techniques:\n\t* Linear and logistic regression \n\t* naive bayes\n\t* support vector machines\n\t* decision trees \n\t* clustering\n* Ensemble learning with random forests and gradient boosting\n* Best practices\n* Evaluating and tuning machine learning systems\n\n\n\n## 6. Capstone Project 1: Building a Data Product\n\t      \n* =====\u003e My Capstone Project: [Predicting Qualifieds from First Call](https://github.com/MMBazel/springboard-program/tree/master/capstone1)\n\n\n## 7. The Natural Language Processing (NLP) Track\n\nTopics covered:\n* How to work with text and natural language data\n* NLP in Python, using common libraries such as NLTK and spaCy\n* Basics of Deep Learning in NLP using word2vec and TensorFlow \n* Data Science at Scale using Spark\n* Software Engineering for Data Scientists\n\n\n## 8. Second Capstone Project: NLP\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmmbazel%2Fspringboard-datasciencetrack-student","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmmbazel%2Fspringboard-datasciencetrack-student","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmmbazel%2Fspringboard-datasciencetrack-student/lists"}