{"id":17665428,"url":"https://github.com/beimingliu/AdvancedMachineLearning","last_synced_at":"2025-03-11T15:32:40.088Z","repository":{"id":186629805,"uuid":"136838510","full_name":"beimingliu/AdvancedMachineLearning","owner":"beimingliu","description":"A collection of machine learning projects","archived":false,"fork":false,"pushed_at":"2018-06-11T05:43:06.000Z","size":10712,"stargazers_count":48,"open_issues_count":0,"forks_count":6,"subscribers_count":2,"default_branch":"master","last_synced_at":"2024-10-24T03:37:20.037Z","etag":null,"topics":["machine-learning","predictive-analysis","predictive-modeling","time-series"],"latest_commit_sha":null,"homepage":"https://www.beimingliu.me","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/beimingliu.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}},"created_at":"2018-06-10T19:27:00.000Z","updated_at":"2024-10-24T01:23:47.000Z","dependencies_parsed_at":null,"dependency_job_id":"fdb43cab-74e2-4a97-a37b-adace1d8ee33","html_url":"https://github.com/beimingliu/AdvancedMachineLearning","commit_stats":null,"previous_names":["beimingliu/advancedmachinelearning"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/beimingliu%2FAdvancedMachineLearning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/beimingliu%2FAdvancedMachineLearning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/beimingliu%2FAdvancedMachineLearning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/beimingliu%2FAdvancedMachineLearning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/beimingliu","download_url":"https://codeload.github.com/beimingliu/AdvancedMachineLearning/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243059822,"owners_count":20229642,"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":["machine-learning","predictive-analysis","predictive-modeling","time-series"],"created_at":"2024-10-23T21:01:25.632Z","updated_at":"2025-03-11T15:32:40.057Z","avatar_url":"https://github.com/beimingliu.png","language":"Jupyter Notebook","funding_links":[],"categories":["Jupyter Notebook","Machine Learning Projects ##"],"sub_categories":[],"readme":"# Advanced Machine Learning Related Projects\n\nThis is a collection of ML projects that I did, topics include:\n+ \u003cb\u003eRegression:\u003c/b\u003e Linear Regression, Lasso, Ridge\n+ \u003cb\u003eTime Series:\u003c/b\u003e ARIMA, SARIMA (Box-Jenkins Approach), Exponential Smoothing (Holt-Winters Approach), VAR, VARX (Vector Autoregression Approach) etc\n+ \u003cb\u003eRecommender System:\u003c/b\u003e collaborative filtering and matrix factorization\n+ \u003cb\u003eNLP:\u003c/b\u003e embeddings, Tf-idf etc\n+ \u003cb\u003eXGBoost, Random Forest\u003c/b\u003e implementation\n+ \u003cb\u003eNeural Network:\u003c/b\u003e Image classification\n\n\n## [Here's an Ad, are you gonna click it?](CTR%20Prediction)\nUse Random Forest with feature engineering to predict Click-Through Rate (CTR) with [Avazu data](https://www.kaggle.com/c/avazu-ctr-prediction). Final result with Log Loss ≈ 0.4.\n\n\n## [Stop Spamming my Email!](Spam)\nUse Adaboost and XGBoost methods to predict if a email is a spam with 97% accuracy rate.\n\n\n## [Teach Computers to recognize Digits](NN%20MNIST%20dataset)\nPytorch: implement simple 2-Layer and 3-Layer neural network using [MNIST dataset](http://yann.lecun.com/exdb/mnist/) to predict hand written digit with an accuracy rate of 98.29%\n\n\n## [So you watched a movie: Yay or Nay? ](Movie%20Review%20Sentiment%20Analysis)\nUse [Glove embeddings](https://nlp.stanford.edu/projects/glove/) on [movie review dataset](http://ai.stanford.edu/~amaas/data/sentiment/) of 50,000 reviews from IMDB. Predict if a review is positive or negative given the content: use XGBoost to achieve an 86.7% accuracy rate.\n\n## [How much is my House Worth?](House%20Price)\nUse Linear Regression to predict the house prices in [Ames, Iowa](https://www.kaggle.com/c/house-prices-advanced-regression-techniques). Compare regression models of OLS, Ridge, Lasso and Elastic Net techniques and generate a business report.\n\n## [BBC Article Recommendations](BBC%20Article%20Recommendations)\nReplicate the recommendation system on blog-based website: provide 5 articles based on what the user is reading now using word2vec on [data](w).\n\n## [Build your own Netflix recommendation engine!](Recommender%20System)\nBuild a movie rating recommendation system from scratch using collaborative filtering with matrix factorization.\n\n## [Twitter Sentiment Analysis!](Twitter%20Sentiment)\nI know, I know, I know. You've seen this project a million times, as a ML student, I just had to do it like everyone else :)\n\n\n\u003csup\u003e\u003cbr\u003ePart of the code is modified from Prof. [Yannet Interian's](https://github.com/yanneta) USF Advanced ML class.\u003cbr\u003e\u003c/sup\u003e\n\u003csup\u003ePart of the code is modified from Prof. [Terence Parr's](https://github.com/parrt) USF data acquisition class.\u003c/sup\u003e.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbeimingliu%2FAdvancedMachineLearning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbeimingliu%2FAdvancedMachineLearning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbeimingliu%2FAdvancedMachineLearning/lists"}