{"id":19736675,"url":"https://github.com/anyesh/predict-future-sales","last_synced_at":"2025-10-30T23:39:50.665Z","repository":{"id":90181053,"uuid":"299234323","full_name":"Anyesh/predict-future-sales","owner":"Anyesh","description":"This challenge serves as final project for the \"How to win a data science competition\" Coursera course done as a training at Fusemachines.","archived":false,"fork":false,"pushed_at":"2022-05-02T08:49:21.000Z","size":252,"stargazers_count":0,"open_issues_count":0,"forks_count":2,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-10-09T06:16:55.975Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/Anyesh.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,"zenodo":null}},"created_at":"2020-09-28T08:03:19.000Z","updated_at":"2020-09-29T12:36:49.000Z","dependencies_parsed_at":null,"dependency_job_id":"68610f6f-58c6-4c55-995d-c97e538212c0","html_url":"https://github.com/Anyesh/predict-future-sales","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Anyesh/predict-future-sales","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anyesh%2Fpredict-future-sales","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anyesh%2Fpredict-future-sales/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anyesh%2Fpredict-future-sales/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anyesh%2Fpredict-future-sales/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Anyesh","download_url":"https://codeload.github.com/Anyesh/predict-future-sales/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anyesh%2Fpredict-future-sales/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":281901738,"owners_count":26581157,"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":"2025-10-30T02:00:06.501Z","response_time":61,"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":[],"created_at":"2024-11-12T01:08:06.984Z","updated_at":"2025-10-30T23:39:50.660Z","avatar_url":"https://github.com/Anyesh.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Predict Future Sales\n\nThis challenge serves as final project for the \"How to win a data science competition\" Coursera course.\n\nIn this competition you will work with a challenging time-series dataset consisting of daily sales data, kindly provided by one of the largest Russian software firms - 1C Company.\n\nWe have been asked to predict total sales for every product and store in the next month.\n\n## Project structure\n\n```\n├── README.md\n├── archives\n├── checkpoints\n│ ├── frozen_data.npz\n│ └── xgboost\n│ ├── model.pkl\n│ └── model_0.pkl\n├── data\n│ ├── archive\n│ │ └── competitive-data-science-predict-future-sales.zip\n│ ├── item_categories.csv\n│ ├── items.csv\n│ ├── sales_train.csv\n│ ├── sample_submission.csv\n│ ├── shops.csv\n│ └── test.csv\n├── debug.log\n├── environment.yml\n├── mlruns\n│ └── 0\n├── notebooks\n│ ├── 01-baseline-pre-processing.ipynb\n│ └── Playground.ipynb\n├── outputs\n│ ├── xgboost_submission.csv\n│ └── xgboost_submission_0.csv\n├── pyproject.toml\n└── src\n├── config\n│ └── model_params.py\n├── dispatcher.py\n├── feature_generator.py\n├── main.py\n├── mlruns\n│ └── 0\n│ └── meta.yaml\n├── settings.py\n└── utils.py\n```\n\n## Run the project\n\n```\npython -m src.main\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanyesh%2Fpredict-future-sales","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanyesh%2Fpredict-future-sales","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanyesh%2Fpredict-future-sales/lists"}