{"id":21696158,"url":"https://github.com/farzadforuozanfar/machine_learning","last_synced_at":"2025-04-12T12:06:56.379Z","repository":{"id":151009742,"uuid":"453167226","full_name":"FarzadForuozanfar/Machine_learning","owner":"FarzadForuozanfar","description":"data science and machine learning with python","archived":false,"fork":false,"pushed_at":"2022-02-24T09:53:06.000Z","size":3010,"stargazers_count":16,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-03-26T06:51:06.089Z","etag":null,"topics":["data-science","kaggle","machine-learning","matplotlib","numpy","pandas","pyplot","python"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine_learning\n# Assignment31\nSome examples from w3schools.com on machine learning \u0026 data science topics\n## Pyplot with line\n![Screenshot (288)](https://user-images.githubusercontent.com/91725214/149376610-56c1fb01-dd50-4223-b970-240fdc6b919d.png)\n## Plotting Without Line\n![Screenshot (289)](https://user-images.githubusercontent.com/91725214/149378075-f0574a7c-bbba-4ca4-b9b1-0e115d40942d.png)\n## Multiple Points\n![Screenshot (290)](https://user-images.githubusercontent.com/91725214/149379501-267519c5-762a-45b8-bf7c-3497afcd0ad0.png)\n## Default X-Points\n![Screenshot (291)](https://user-images.githubusercontent.com/91725214/149379637-61cff036-aa1b-41f9-ab8a-b951504f9cc8.png)\n## Matplotlib Markers\n![Screenshot (292)](https://user-images.githubusercontent.com/91725214/149379726-eab5b1cd-199f-46cc-9aa3-390c97faf77a.png)\n## Matplotlib Markers with size and color\n![Screenshot (293)](https://user-images.githubusercontent.com/91725214/149379883-33aff3d4-b5b1-44a3-af51-01ad8c9b6c62.png)\n## Multiple Lines\n![Screenshot (294)](https://user-images.githubusercontent.com/91725214/149379905-73b2a980-64e4-4e81-9bc7-95997637af5d.png)\n## Matplotlib Labels and Title and Adding Grid Lines\n![Screenshot (295)](https://user-images.githubusercontent.com/91725214/149380058-ecac365f-1761-4174-9458-87ea318c1270.png)\n## Matplotlib Subplots\n![Screenshot (296)](https://user-images.githubusercontent.com/91725214/149380376-632e5b4d-7930-434f-986c-a644e7e5a2ae.png)\n## Matplotlib Scatter\n![Screenshot (297)](https://user-images.githubusercontent.com/91725214/149380466-029cd098-ea25-4382-b520-b06ba2ced5c8.png)\n## Matplotlib Bars\n![Screenshot (298)](https://user-images.githubusercontent.com/91725214/149380510-7cff1334-6b7e-4f79-90dc-6b9bd50f8b86.png)\n## Matplotlib Histograms\n![Screenshot (299)](https://user-images.githubusercontent.com/91725214/149380553-d412b159-44d8-48ff-8b75-43f1f2bb1bea.png)\n## Matplotlib Pie Charts\n![Screenshot (300)](https://user-images.githubusercontent.com/91725214/149380610-ae6b4979-b82c-407a-aefe-9325106ec12a.png)\n\n## Numpy(mode, median, std)\n![Screenshot (302)](https://user-images.githubusercontent.com/91725214/149382242-7cdf1d26-cde6-4248-9ca7-91e23f8e1975.png)\n## Numpy.uinform\n![Screenshot (301)](https://user-images.githubusercontent.com/91725214/149382357-5f90c9ee-e59a-47f9-bca8-9d2a15ce5aad.png)\n## Numpy.normal \n![Screenshot (303)](https://user-images.githubusercontent.com/91725214/149382393-a53137bb-c0e8-4891-8f2b-83fa93daef7c.png)\n## Scatter Plot\n![Screenshot (304)](https://user-images.githubusercontent.com/91725214/149382589-4adf102d-e9a9-44b2-9717-f833ee1925fa.png)\n## Multiple Regression\n![Screenshot (305)](https://user-images.githubusercontent.com/91725214/149382668-7eb50e2c-df2b-49e2-9ef0-5857163fc004.png)\n\n# Assignment32\n## scatter for melon and ballon 3D\n![Screenshot (307)](https://user-images.githubusercontent.com/91725214/149551357-b70f0a25-8ebe-40ef-ac77-705b642d800f.png)\n## scatter for apple and banana\n![Screenshot (308)](https://user-images.githubusercontent.com/91725214/149616457-9ce45ad0-7263-428a-b5c1-be89f40db419.png)\n## Bar chart for apple and banana\n![Screenshot (312)](https://user-images.githubusercontent.com/91725214/149616495-17870980-cb91-4c27-8b46-d8b8ce07e8bd.png)\n## Box diagram for apple and banana\n![Screenshot (311)](https://user-images.githubusercontent.com/91725214/149616512-f8a097d1-94de-43b8-9c32-e5700bfd9e86.png)\n## histogram for apple and banana\n![Screenshot (313)](https://user-images.githubusercontent.com/91725214/149616528-c5fd8ecf-ffb6-4d9f-bf37-96761f218591.png)\n## L\\W distribtion\n![Screenshot (314)](https://user-images.githubusercontent.com/91725214/149616545-2a88f44e-8b1e-447c-afd3-9d3baa9d484b.png)\n## Area ditribtion\n![Screenshot (315)](https://user-images.githubusercontent.com/91725214/149616558-5d30199a-80dd-4f02-a538-3bdca1736835.png)\n## Perimeter\n![Screenshot (316)](https://user-images.githubusercontent.com/91725214/149616570-770ba83f-48ed-4399-967e-3b8e0c4f4806.png)\n\n## Crertificate\n#### https://www.sololearn.com/certificates/course/en/23586582/1161/landscape/png\n\n# Assingment-33\n## what exactly happened on April ?!\n#### Our store company could not do a very important job of attracting customers well and gradually in the first, second and third months had a relative and low reduction in new customer rates, but in April suffered a big difference and decline, and also He could not keep his former customers satisfied and he lost them too\n##\n### Monthly Revenue\n![Screenshot (343)](https://user-images.githubusercontent.com/91725214/150151206-3653ffaa-d6e5-4334-83df-f57411171978.png)\n\n##\n### Monthly Growth Rate\n![Screenshot (344)](https://user-images.githubusercontent.com/91725214/150150912-c18e9b23-50fc-46ed-9f1c-3a712153b84c.png)\n##\n### Monthly Active Customers\n![Screenshot (345)](https://user-images.githubusercontent.com/91725214/150150935-684671d9-9a09-4baf-9179-a0671691a1cf.png)\n##\n### Monthly Total Order\n![Screenshot (346)](https://user-images.githubusercontent.com/91725214/150150984-511d4968-becc-4d77-af25-e0b10e6634ad.png)\n##\n### Monthly Order Avg\n![Screenshot (347)](https://user-images.githubusercontent.com/91725214/150151003-c8f52653-ec3b-49a2-aaea-67790d40aaf5.png)\n##\n### New Customers VS Existing Customers\n![Screenshot (348)](https://user-images.githubusercontent.com/91725214/150151041-d58ebaaf-aaf7-43ea-8761-5b637458c0cb.png)\n##\n### Bar plt for New Customers Ratio\n![Screenshot (349)](https://user-images.githubusercontent.com/91725214/150151060-311dbf25-4750-4870-810e-e39e7c69c9f1.png)\n##\n### Scatter for New Customers Ratio\n![Screenshot (350)](https://user-images.githubusercontent.com/91725214/150151072-e3da7dfd-7a9c-49dc-8e2a-a59ac5269d2d.png)\n#\n#\n# Source of reports of this project\n#### https://towardsdatascience.com/data-driven-growth-with-python-part-1-know-your-metrics-812781e66a5b\n\n## Assighnment 34 :\n ### 1.  KNN for Gender Verification :\n   - #### plt Hist for Heights\n![Screenshot (364)](https://user-images.githubusercontent.com/91725214/151602569-f2db77ee-6a75-4ac6-b762-532960a41fac.png)\n\n   - #### plt Hist for Weights\n![Screenshot (365)](https://user-images.githubusercontent.com/91725214/151602798-a6923718-a45e-485f-8d13-424185e56a90.png)\n\n   - #### plt scatter for Height \u0026 Weights\n![Screenshot (366)](https://user-images.githubusercontent.com/91725214/151602932-91c90412-f5e1-459a-b7ca-7a011794c5b9.png)\n\n   - #### resorce data : https://www.kaggle.com/mustafaali96/weight-height\n ### 2.  Analyze Covid19 data :\n   -  8 mostest Country Active case in world :\n   -  ![Screenshot (369)](https://user-images.githubusercontent.com/91725214/151655053-605c5228-f2f2-43c3-88aa-9aa5c758915e.png)\n   -  Compare New cases VS New death cases on July 21 in Iran:\n   -  ![Screenshot (368)](https://user-images.githubusercontent.com/91725214/151655164-5de47714-58eb-4e74-b6ed-41ec637f8bab.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffarzadforuozanfar%2Fmachine_learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffarzadforuozanfar%2Fmachine_learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffarzadforuozanfar%2Fmachine_learning/lists"}