{"id":20821341,"url":"https://github.com/prakharjadaun/ml-learn-with-me","last_synced_at":"2026-04-29T21:34:10.256Z","repository":{"id":41499256,"uuid":"509915145","full_name":"prakharjadaun/ML-Learn-With-Me","owner":"prakharjadaun","description":"Learn Machine learning and its different algorithms with me. In this repo, I upload well explained ml algorithms and topics related to statistics.","archived":false,"fork":false,"pushed_at":"2024-03-12T11:14:23.000Z","size":1776,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-12-26T10:05:15.111Z","etag":null,"topics":["backpropagation","data-visualization","keras-neural-networks","learn-with-me","machine-learning","numpy","seaborn"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/prakharjadaun.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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-07-03T03:43:27.000Z","updated_at":"2023-02-22T18:27:40.000Z","dependencies_parsed_at":"2023-02-05T15:45:54.658Z","dependency_job_id":"5937eaa4-2fc6-449c-80d6-e75fcb6a73ca","html_url":"https://github.com/prakharjadaun/ML-Learn-With-Me","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/prakharjadaun/ML-Learn-With-Me","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prakharjadaun%2FML-Learn-With-Me","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prakharjadaun%2FML-Learn-With-Me/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prakharjadaun%2FML-Learn-With-Me/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prakharjadaun%2FML-Learn-With-Me/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/prakharjadaun","download_url":"https://codeload.github.com/prakharjadaun/ML-Learn-With-Me/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prakharjadaun%2FML-Learn-With-Me/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32445371,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-29T20:22:27.477Z","status":"ssl_error","status_checked_at":"2026-04-29T20:22:26.507Z","response_time":110,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["backpropagation","data-visualization","keras-neural-networks","learn-with-me","machine-learning","numpy","seaborn"],"created_at":"2024-11-17T22:11:59.825Z","updated_at":"2026-04-29T21:34:10.227Z","avatar_url":"https://github.com/prakharjadaun.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# **ML - Learn With Me**\n\nThis repo contains following notebooks:\n\n* Numpy Tutorial for beginners\n* Pytorch Basics\n* Statistical Measures\n* Area under the curve\n* Simple Linear Regression\n* Introduction to Plotting\n* Handling with Missing Data\n* Understanding Decision Trees and Random Forest\n* Introduction to backpropagation\n* Learn KNN from scratch\n* How to approach a dataset (Kaggle)\n* Creating a Neural Network using PyTorch\n* What are decorators?\n\nYou can access all the datasets used above in the notebooks from here : [Datasets](https://drive.google.com/drive/folders/1sV9kc7KQLcPsUNzOumfZv8njwiSpRWgT?usp=share_link)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprakharjadaun%2Fml-learn-with-me","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fprakharjadaun%2Fml-learn-with-me","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprakharjadaun%2Fml-learn-with-me/lists"}