{"id":25186444,"url":"https://github.com/prakharrathi25/mlops-specialization-coursera","last_synced_at":"2025-08-03T21:34:03.033Z","repository":{"id":50906298,"uuid":"504782011","full_name":"prakharrathi25/mlops-specialization-coursera","owner":"prakharrathi25","description":"Machine Learning for Production Specialization","archived":false,"fork":false,"pushed_at":"2022-10-03T17:54:32.000Z","size":13366,"stargazers_count":3,"open_issues_count":1,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-04T08:48:27.306Z","etag":null,"topics":["coursera","hacktoberfest","machine-learning","machine-learning-engineering","mlops","mooc-solutions","production","python"],"latest_commit_sha":null,"homepage":"https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/prakharrathi25.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}},"created_at":"2022-06-18T08:02:22.000Z","updated_at":"2023-12-18T12:13:40.000Z","dependencies_parsed_at":"2023-01-19T03:31:19.689Z","dependency_job_id":null,"html_url":"https://github.com/prakharrathi25/mlops-specialization-coursera","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/prakharrathi25/mlops-specialization-coursera","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prakharrathi25%2Fmlops-specialization-coursera","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prakharrathi25%2Fmlops-specialization-coursera/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prakharrathi25%2Fmlops-specialization-coursera/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prakharrathi25%2Fmlops-specialization-coursera/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/prakharrathi25","download_url":"https://codeload.github.com/prakharrathi25/mlops-specialization-coursera/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prakharrathi25%2Fmlops-specialization-coursera/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":268617308,"owners_count":24279230,"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":"2025-08-03T02:00:12.545Z","response_time":2577,"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":["coursera","hacktoberfest","machine-learning","machine-learning-engineering","mlops","mooc-solutions","production","python"],"created_at":"2025-02-09T19:43:19.307Z","updated_at":"2025-08-03T21:34:03.004Z","avatar_url":"https://github.com/prakharrathi25.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine Learning for Production Specialization (MLOps)\n\n\u003cp align=\"center\"\u003e\u003cimg width=\"100%\" src=\"images/specialisation-banner.jpg\" /\u003e\u003c/p\u003e\n\nThis repo contains all my work for this specialization. All the code base, quiz questions, screenshot, and images, are taken from, unless specified, [Machine Learning Engineering for Production](https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops) on Coursera offered by deeplearning.ai. \n\n**Instructor**: [Prof. Andrew Ng](www.andrewng.org)\n\n## Reminder\nAs a CS major student and a long-time self-taught learner, I have completed many CS related MOOCs on Coursera, Udacity, Udemy, and Edx. I do understand the hard time you spend on understanding new concepts and debugging your program. The reason I am creating this repository is purely for academic use (in case for my future use). I am really glad if you can use it as a reference and happy to discuss with you about issues related with the course even further deep learning techniques.\n\nPlease only use it as a reference. The quiz and assignments are relatively easy to answer, hope you can have fun with the courses. Open to contribution by others.\n\n## Program Structure \n\n### Course 1: [Introduction to Machine Learning in Production](https://github.com/prakharrathi25/natural-language-processing-coursera/tree/master/Course%201)\n\n#### Week 1: [Overview of the ML Lifecycle and Deployment](https://github.com/prakharrathi25/mlops-specialization-coursera/tree/main/Course1/Week1)\n  \n1. [Graded Quiz 1](https://github.com/prakharrathi25/mlops-specialization-coursera/blob/main/Course1/Week1/graded_quiz_1.md)\n2. [Graded Quiz 2](https://github.com/prakharrathi25/mlops-specialization-coursera/blob/main/Course1/Week1/graded_quiz_2.md)\n\n\n#### Week 2: [Select and Train a Model](https://github.com/prakharrathi25/mlops-specialization-coursera/tree/main/Course1/Week2)\n1. [Graded Quiz 1](https://github.com/prakharrathi25/natural-language-processing-coursera/blob/master/Course%201/Week2-Naive%20Bayes/NLP_C1_W2_lecture_nb_01.ipynb)\n2. [Graded Lab Assignment](https://github.com/prakharrathi25/natural-language-processing-coursera/blob/master/Course%201/Week2-Naive%20Bayes/Week2_Graded_Assignment.ipynb)\n\n\n\u003c!-- #### Week 3: [Word Embeddings](https://github.com/prakharrathi25/natural-language-processing-coursera/tree/master/Course%201/Week3-Word%20Embeddings)\n1. [Ungraded Lab 1](https://github.com/prakharrathi25/natural-language-processing-coursera/blob/master/Course%201/Week3-Word%20Embeddings/NLP_C1_W3_lecture_nb_01.ipynb)\n2. [Ungraded Lab 2](https://github.com/prakharrathi25/natural-language-processing-coursera/blob/master/Course%201/Week3-Word%20Embeddings/NLP_C1_W3_lecture_nb_02.ipynb)\n3. [Ungraded Lab 3](https://github.com/prakharrathi25/natural-language-processing-coursera/blob/master/Course%201/Week3-Word%20Embeddings/NLP_C1_W3_lecture_nb_03.ipynb)\n4. [Graded Lab Assignment](https://github.com/prakharrathi25/natural-language-processing-coursera/blob/master/Course%201/Week3-Word%20Embeddings/Week3_Graded_Assignment.ipynb) --\u003e\n\n\n\u003c!-- ### Course 2: Natural Language Processing with Probabilistic Models\n\n#### Week 1: [Autocorrect](https://github.com/prakharrathi25/natural-language-processing-coursera/tree/master/Course%202/Week1-Autocorrect)\n1. [Ungraded Lab 1](https://github.com/prakharrathi25/natural-language-processing-coursera/blob/master/Course%202/Week1-Autocorrect/NLP_C2_W1_lecture_nb_01.ipynb)\n2. [Ungraded Lab 2](https://github.com/prakharrathi25/natural-language-processing-coursera/blob/master/Course%202/Week1-Autocorrect/NLP_C2_W1_lecture_nb_02.ipynb)\n3. [Graded Lab Assignment](https://github.com/prakharrathi25/natural-language-processing-coursera/blob/master/Course%202/Week1-Autocorrect/Week1_Graded_Assignment.ipynb)\n\n#### Week 2: [POS Tagging](https://github.com/prakharrathi25/natural-language-processing-coursera/tree/master/Course%202/Week2-Part_of_Speech_Tagging_and_Hidden_Markov_Models)\n1. [Ungraded Lab 1](https://github.com/prakharrathi25/natural-language-processing-coursera/blob/master/Course%202/Week2-Part_of_Speech_Tagging_and_Hidden_Markov_Models/NLP_C2_W2_lecture_notebook_numpy.ipynb)\n2. [Ungraded Lab 2](https://github.com/prakharrathi25/natural-language-processing-coursera/blob/master/Course%202/Week2-Part_of_Speech_Tagging_and_Hidden_Markov_Models/NLP_C2_W2_lecture_notebook_strings_tags.ipynb)\n3. [Graded Lab Assignment](https://github.com/prakharrathi25/natural-language-processing-coursera/blob/master/Course%202/Week2-Part_of_Speech_Tagging_and_Hidden_Markov_Models/Week2_Graded_Assignment.ipynb)\n\n\n#### Week 3: [Autocomplete](https://github.com/prakharrathi25/natural-language-processing-coursera/tree/master/Course%202/Week3-Autocomplete_language_models)\n1. [Ungraded Lab 1](https://github.com/prakharrathi25/natural-language-processing-coursera/blob/master/Course%202/Week3-Autocomplete_language_models/NLP_C2_W3_lecture_nb_01.ipynb)\n2. [Ungraded Lab 2](https://github.com/prakharrathi25/natural-language-processing-coursera/blob/master/Course%202/Week3-Autocomplete_language_models/NLP_C2_W3_lecture_nb_02.ipynb)\n3. [Ungraded Lab 3](https://github.com/prakharrathi25/natural-language-processing-coursera/blob/master/Course%202/Week3-Autocomplete_language_models/NLP_C2_W3_lecture_nb_03.ipynb)\n4. [Graded Lab Assignment](https://github.com/prakharrathi25/natural-language-processing-coursera/blob/master/Course%202/Week3-Autocomplete_language_models/Week3_Graded_Assignment.ipynb)\n\n#### Week 4: [Word Translation](https://github.com/prakharrathi25/natural-language-processing-coursera/tree/master/Course%202/Week4-Word_Embeddings)\n1. [Ungraded Lab 1]()\n2. [Ungraded Lab 1]()\n3. [Graded Lab Assignment](https://github.com/prakharrathi25/natural-language-processing-coursera/blob/master/Course%202/Week4-Word_Embeddings/Week4_Graded_Assignment.ipynb) --\u003e\n\n## Note \n\nThe content that is written inside each Course folder in the `README` has been picked up from the [course website]. \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprakharrathi25%2Fmlops-specialization-coursera","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fprakharrathi25%2Fmlops-specialization-coursera","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprakharrathi25%2Fmlops-specialization-coursera/lists"}