{"id":22118173,"url":"https://github.com/akash1070/deploying-machine-learning-models-via-microsoft-azure","last_synced_at":"2025-08-07T09:29:04.831Z","repository":{"id":231695574,"uuid":"537313432","full_name":"Akash1070/Deploying-Machine-Learning-Models-via-Microsoft-Azure","owner":"Akash1070","description":"Deploying Flight Price Prediction via Microsoft Azure","archived":false,"fork":false,"pushed_at":"2022-09-16T05:34:07.000Z","size":410,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-29T12:11:05.388Z","etag":null,"topics":["azure","catboost-model","extra-tree-regressor","flight-price-prediction","hyperparameters","lightbgm","random-forest-regression","randomizedsearchcv","xgboost-model"],"latest_commit_sha":null,"homepage":"","language":"HTML","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/Akash1070.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}},"created_at":"2022-09-16T05:10:21.000Z","updated_at":"2022-09-16T05:23:32.000Z","dependencies_parsed_at":"2024-04-05T11:55:36.097Z","dependency_job_id":null,"html_url":"https://github.com/Akash1070/Deploying-Machine-Learning-Models-via-Microsoft-Azure","commit_stats":null,"previous_names":["akash1070/deploying-machine-learning-models-via-microsoft-azure"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Akash1070%2FDeploying-Machine-Learning-Models-via-Microsoft-Azure","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Akash1070%2FDeploying-Machine-Learning-Models-via-Microsoft-Azure/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Akash1070%2FDeploying-Machine-Learning-Models-via-Microsoft-Azure/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Akash1070%2FDeploying-Machine-Learning-Models-via-Microsoft-Azure/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Akash1070","download_url":"https://codeload.github.com/Akash1070/Deploying-Machine-Learning-Models-via-Microsoft-Azure/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245217946,"owners_count":20579300,"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":["azure","catboost-model","extra-tree-regressor","flight-price-prediction","hyperparameters","lightbgm","random-forest-regression","randomizedsearchcv","xgboost-model"],"created_at":"2024-12-01T13:48:03.437Z","updated_at":"2025-03-24T06:18:43.207Z","avatar_url":"https://github.com/Akash1070.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n# **Deploying Machine Learning Models via Microsoft Azure**\n The main agenda of this project is:\n\n1. Perform extensive Exploratory Data Analysis(EDA) on the Airline Dataset.\n\n2. Build an appropriate Machine Learning Model that will help various Airline Data to predict Price based on certain features.\n\n3. Deploy the Machine learning model via Microsoft Azure that can be used to make live predictions of Price.\n## Authors\n\n- [@Akash Kumar Jha](https://github.com/Akash1070)\n\n\n## Installation\n\nTo install the libraries used in this project. Follow the \nbelow steps:\n\n```bash\n!pip install flask\nfrom flask import Flask, request, render_template\nfrom flask_cors import cross_origin\nimport sklearn\nimport pickle\nimport pandas as pd\n\n!pip install cufflinks\n!pip install chart_studio\n!pip install pandas-profiling\n\nfrom chart_studio.plotly import plot,iplot\nfrom sklearn.ensemble import ExtraTreesRegressor\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.ensemble import  ExtraTreesRegressor\nfrom sklearn.ensemble import RandomForestRegressor\nfrom sklearn.model_selection import RandomizedSearchCV\nfrom sklearn.metrics import mean_absolute_error,mean_squared_error\nfrom catboost import CatBoostRegressor\nfrom lightgbm import LGBMRegressor\n\n\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport xgboost as xgb\nimport cufflinks as cf\nimport seaborn as sns\n```\n    \n## Running Flask Api\n\nTo run tests, run the following command\n\n```bash\n  python app.py\n```\n\n\n## 🚀 About Me\n\nData Scientist Enthusiast | Petroleum Engineer Graduate | Solving Problems Using Data \n\n\n# Hi, I'm Akash! 👋\n\n\n## 🔗 Links\n[![github](https://img.shields.io/badge/github-000?style=for-the-badge\u0026logo=ko-fi\u0026logoColor=white)](https://github.com/Akash1070)\n[![linkedin](https://img.shields.io/badge/linkedin-0A66C2?style=for-the-badge\u0026logo=linkedin\u0026logoColor=white)](https://www.linkedin.com/in/akashkumar107/)\n## Tech stack\n![Logo](https://businesstoys.in/assets/programs/full-stack-data-science-professional-program/tools.png)\n\n\n## Other Common Github Profile Sections\n👩‍💻 I’m interested in Petroleum Engineering\n\n🧠 I’m currently learning Data Scientist | Data Analytics | Business Analytics\n\n👯‍♀️ I’m looking to collaborate on Ideas \u0026 Data\n\n\n\n\n## 🛠 Skills\n1. Data Scientist\n2. Data Analyst\n3. Business Analyst\n4. Machine Learning \n\n\n## Future Plans \n\n⚡️ Looking forward to help drive innovations into your company as a Data Scientist\n\n⚡️ Looking forward to offer more than I take and leave the place better than i found\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fakash1070%2Fdeploying-machine-learning-models-via-microsoft-azure","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fakash1070%2Fdeploying-machine-learning-models-via-microsoft-azure","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fakash1070%2Fdeploying-machine-learning-models-via-microsoft-azure/lists"}