René's URL Explorer Experiment

Title: GitHub - edghpark/Machine-Learning-with-Python: Practice and tutorial-style notebooks covering wide variety of machine learning techniques · GitHub

Open Graph Title: GitHub - edghpark/Machine-Learning-with-Python: Practice and tutorial-style notebooks covering wide variety of machine learning techniques

X Title: GitHub - edghpark/Machine-Learning-with-Python: Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Description: Practice and tutorial-style notebooks covering wide variety of machine learning techniques - edghpark/Machine-Learning-with-Python

Open Graph Description: Practice and tutorial-style notebooks covering wide variety of machine learning techniques - edghpark/Machine-Learning-with-Python

X Description: Practice and tutorial-style notebooks covering wide variety of machine learning techniques - edghpark/Machine-Learning-with-Python

Opengraph URL: https://github.com/edghpark/Machine-Learning-with-Python

X: @github

direct link

Domain: github.com

route-pattern	/:user_id/:repository
route-controller	files
route-action	disambiguate
fetch-nonce	v2:8ecd4851-9b1d-222e-7a3a-b55db3050433
current-catalog-service-hash	f3abb0cc802f3d7b95fc8762b94bdcb13bf39634c40c357301c4aa1d67a256fb
request-id	E6CE:67ABE:2D9AA7:3FEEF8:6A59D7D1
html-safe-nonce	99d957130819a5c9cc1d2d1e230ea459e11dc56de84870238dcd6f710625e8c0
visitor-payload	eyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJFNkNFOjY3QUJFOjJEOUFBNzozRkVFRjg6NkE1OUQ3RDEiLCJ2aXNpdG9yX2lkIjoiNTQyMDU1NDY4NTYyNjU3MDcwNSIsInJlZ2lvbl9lZGdlIjoiaWFkIiwicmVnaW9uX3JlbmRlciI6ImlhZCJ9
visitor-hmac	5bad6ee796485c797a1fb65fc8d9c3aa9a5d79433b2fb15c9c1df9bcdd539195
hovercard-subject-tag	repository:225300642
github-keyboard-shortcuts	repository,copilot
google-site-verification	Apib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I
octolytics-url	https://collector.github.com/github/collect
analytics-location	//
fb:app_id	1401488693436528
apple-itunes-app	app-id=1477376905, app-argument=https://github.com/edghpark/Machine-Learning-with-Python
twitter:image	https://opengraph.githubassets.com/6916ab17729cd82ed556a3ab87cc4f04f00c4eeccb7b2ba04ed1854d65f4d6a8/edghpark/Machine-Learning-with-Python
twitter:card	summary_large_image
og:image	https://opengraph.githubassets.com/6916ab17729cd82ed556a3ab87cc4f04f00c4eeccb7b2ba04ed1854d65f4d6a8/edghpark/Machine-Learning-with-Python
og:image:alt	Practice and tutorial-style notebooks covering wide variety of machine learning techniques - edghpark/Machine-Learning-with-Python
og:image:width	1200
og:image:height	600
og:site_name	GitHub
og:type	object
hostname	github.com
expected-hostname	github.com
None	ba3976babb66479b1c943a8edc0777d96157da48fadc0161f9ddb219deee8353
turbo-cache-control	no-cache
go-import	github.com/edghpark/Machine-Learning-with-Python git https://github.com/edghpark/Machine-Learning-with-Python.git
octolytics-dimension-user_id	33927183
octolytics-dimension-user_login	edghpark
octolytics-dimension-repository_id	225300642
octolytics-dimension-repository_nwo	edghpark/Machine-Learning-with-Python
octolytics-dimension-repository_public	true
octolytics-dimension-repository_is_fork	true
octolytics-dimension-repository_parent_id	97429942
octolytics-dimension-repository_parent_nwo	tirthajyoti/Machine-Learning-with-Python
octolytics-dimension-repository_network_root_id	97429942
octolytics-dimension-repository_network_root_nwo	tirthajyoti/Machine-Learning-with-Python
turbo-body-classes	logged-out env-production page-responsive
disable-turbo	false
browser-stats-url	https://api.github.com/_private/browser/stats
browser-errors-url	https://api.github.com/_private/browser/errors
release	bfacf98c3b7ad151665d6ddd216469389872b251
ui-target	full
theme-color	#1e2327
color-scheme	light dark

Links:

Skip to content	https://github.com/edghpark/Machine-Learning-with-Python#start-of-content
	https://github.com/
Sign in	https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fedghpark%2FMachine-Learning-with-Python
GitHub CopilotWrite better code with AI	https://github.com/features/copilot
GitHub Copilot appDirect agents from issue to merge	https://github.com/features/ai/github-app
MCP RegistryNewIntegrate external tools	https://github.com/mcp
ActionsAutomate any workflow	https://github.com/features/actions
CodespacesInstant dev environments	https://github.com/features/codespaces
IssuesPlan and track work	https://github.com/features/issues
Code ReviewManage code changes	https://github.com/features/code-review
GitHub Advanced SecurityFind and fix vulnerabilities	https://github.com/security/advanced-security
Code securitySecure your code as you build	https://github.com/security/advanced-security/code-security
Secret protectionStop leaks before they start	https://github.com/security/advanced-security/secret-protection
Why GitHub	https://github.com/why-github
Documentation	https://docs.github.com
Blog	https://github.blog
Changelog	https://github.blog/changelog
Marketplace	https://github.com/marketplace
View all features	https://github.com/features
Enterprises	https://github.com/enterprise
Small and medium teams	https://github.com/team
Startups	https://github.com/enterprise/startups
Nonprofits	https://github.com/solutions/industry/nonprofits
App Modernization	https://github.com/solutions/use-case/app-modernization
DevSecOps	https://github.com/solutions/use-case/devsecops
DevOps	https://github.com/solutions/use-case/devops
CI/CD	https://github.com/solutions/use-case/ci-cd
View all use cases	https://github.com/solutions/use-case
Healthcare	https://github.com/solutions/industry/healthcare
Financial services	https://github.com/solutions/industry/financial-services
Manufacturing	https://github.com/solutions/industry/manufacturing
Government	https://github.com/solutions/industry/government
View all industries	https://github.com/solutions/industry
View all solutions	https://github.com/solutions
AI	https://github.com/resources/articles?topic=ai
Software Development	https://github.com/resources/articles?topic=software-development
DevOps	https://github.com/resources/articles?topic=devops
Security	https://github.com/resources/articles?topic=security
View all topics	https://github.com/resources/articles
Customer stories	https://github.com/customer-stories
Events & webinars	https://github.com/resources/events
Ebooks & reports	https://github.com/resources/whitepapers
Business insights	https://github.com/solutions/executive-insights
GitHub Skills	https://skills.github.com
Documentation	https://docs.github.com
Customer support	https://support.github.com
Community forum	https://github.com/orgs/community/discussions
Trust center	https://github.com/trust-center
Partners	https://github.com/partners
View all resources	https://github.com/resources
GitHub SponsorsFund open source developers	https://github.com/open-source/sponsors
Security Lab	https://securitylab.github.com
Maintainer Community	https://maintainers.github.com
Accelerator	https://github.com/open-source/accelerator
GitHub Stars	https://stars.github.com
Archive Program	https://archiveprogram.github.com
Topics	https://github.com/topics
Trending	https://github.com/trending
Collections	https://github.com/collections
Enterprise platformAI-powered developer platform	https://github.com/enterprise
GitHub Advanced SecurityEnterprise-grade security features	https://github.com/security/advanced-security
Copilot for BusinessEnterprise-grade AI features	https://github.com/features/copilot/copilot-business
Premium SupportEnterprise-grade 24/7 support	https://github.com/enterprise/premium-support
Pricing	https://github.com/pricing
Search syntax tips	https://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax
documentation	https://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax
Sign in	https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fedghpark%2FMachine-Learning-with-Python
Sign up	https://github.com/signup?ref_cta=Sign+up&ref_loc=header+logged+out&ref_page=%2F%3Cuser-name%3E%2F%3Crepo-name%3E&source=header-repo&source_repo=edghpark%2FMachine-Learning-with-Python
Reload	https://github.com/edghpark/Machine-Learning-with-Python
Reload	https://github.com/edghpark/Machine-Learning-with-Python
Reload	https://github.com/edghpark/Machine-Learning-with-Python
edghpark	https://github.com/edghpark
Machine-Learning-with-Python	https://github.com/edghpark/Machine-Learning-with-Python
tirthajyoti/Machine-Learning-with-Python	https://github.com/tirthajyoti/Machine-Learning-with-Python
Notifications	https://github.com/login?return_to=%2Fedghpark%2FMachine-Learning-with-Python
Fork 0	https://github.com/login?return_to=%2Fedghpark%2FMachine-Learning-with-Python
Star 0	https://github.com/login?return_to=%2Fedghpark%2FMachine-Learning-with-Python
Code	https://github.com/edghpark/Machine-Learning-with-Python
Pull requests 0	https://github.com/edghpark/Machine-Learning-with-Python/pulls
Actions	https://github.com/edghpark/Machine-Learning-with-Python/actions
Projects	https://github.com/edghpark/Machine-Learning-with-Python/projects
Security and quality 0	https://github.com/edghpark/Machine-Learning-with-Python/security
Insights	https://github.com/edghpark/Machine-Learning-with-Python/pulse
Code	https://github.com/edghpark/Machine-Learning-with-Python
Pull requests	https://github.com/edghpark/Machine-Learning-with-Python/pulls
Actions	https://github.com/edghpark/Machine-Learning-with-Python/actions
Projects	https://github.com/edghpark/Machine-Learning-with-Python/projects
Security and quality	https://github.com/edghpark/Machine-Learning-with-Python/security
Insights	https://github.com/edghpark/Machine-Learning-with-Python/pulse
	https://github.com/edghpark/Machine-Learning-with-Python
Branches	https://github.com/edghpark/Machine-Learning-with-Python/branches
Tags	https://github.com/edghpark/Machine-Learning-with-Python/tags
	https://github.com/edghpark/Machine-Learning-with-Python/branches
	https://github.com/edghpark/Machine-Learning-with-Python/tags
430 Commits	https://github.com/edghpark/Machine-Learning-with-Python/commits/master/
	https://github.com/edghpark/Machine-Learning-with-Python/commits/master/
Business_optimization	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/Business_optimization
Business_optimization	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/Business_optimization
Classification	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/Classification
Classification	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/Classification
Clustering-Dimensionality-Reduction	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/Clustering-Dimensionality-Reduction
Clustering-Dimensionality-Reduction	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/Clustering-Dimensionality-Reduction
Complexity_Learning_curves	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/Complexity_Learning_curves
Complexity_Learning_curves	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/Complexity_Learning_curves
Datasets	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/Datasets
Datasets	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/Datasets
Deployment	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/Deployment
Deployment	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/Deployment
Function Approximation by Neural Network	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/Function%20Approximation%20by%20Neural%20Network
Function Approximation by Neural Network	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/Function%20Approximation%20by%20Neural%20Network
Images	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/Images
Images	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/Images
OOP_in_ML	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/OOP_in_ML
OOP_in_ML	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/OOP_in_ML
Pandas and Numpy	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/Pandas%20and%20Numpy
Pandas and Numpy	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/Pandas%20and%20Numpy
Random Function Generator	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/Random%20Function%20Generator
Random Function Generator	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/Random%20Function%20Generator
Real Dataset Problems	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/Real%20Dataset%20Problems
Real Dataset Problems	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/Real%20Dataset%20Problems
Regression	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/Regression
Regression	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/Regression
Synthetic_data_generation	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/Synthetic_data_generation
Synthetic_data_generation	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/Synthetic_data_generation
docs	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/docs
docs	https://github.com/edghpark/Machine-Learning-with-Python/tree/master/docs
.gitignore	https://github.com/edghpark/Machine-Learning-with-Python/blob/master/.gitignore
.gitignore	https://github.com/edghpark/Machine-Learning-with-Python/blob/master/.gitignore
Interactive ML-1.ipynb	https://github.com/edghpark/Machine-Learning-with-Python/blob/master/Interactive%20ML-1.ipynb
Interactive ML-1.ipynb	https://github.com/edghpark/Machine-Learning-with-Python/blob/master/Interactive%20ML-1.ipynb
Jupyter_Markdown_Primer.ipynb	https://github.com/edghpark/Machine-Learning-with-Python/blob/master/Jupyter_Markdown_Primer.ipynb
Jupyter_Markdown_Primer.ipynb	https://github.com/edghpark/Machine-Learning-with-Python/blob/master/Jupyter_Markdown_Primer.ipynb
LICENSE	https://github.com/edghpark/Machine-Learning-with-Python/blob/master/LICENSE
LICENSE	https://github.com/edghpark/Machine-Learning-with-Python/blob/master/LICENSE
README.md	https://github.com/edghpark/Machine-Learning-with-Python/blob/master/README.md
README.md	https://github.com/edghpark/Machine-Learning-with-Python/blob/master/README.md
_config.yml	https://github.com/edghpark/Machine-Learning-with-Python/blob/master/_config.yml
_config.yml	https://github.com/edghpark/Machine-Learning-with-Python/blob/master/_config.yml
README	https://github.com/edghpark/Machine-Learning-with-Python
BSD-2-Clause license	https://github.com/edghpark/Machine-Learning-with-Python
	https://opensource.org/licenses/BSD-2-Clause
	https://github.com/tirthajyoti/Machine-Learning-with-Python/network
	https://github.com/tirthajyoti/Machine-Learning-with-Python/stargazers
	https://github.com/tirthajyoti/Machine-Learning-with-Python/pulls
ML website	https://machine-learning-with-python.readthedocs.io/en/latest/
	https://github.com/edghpark/Machine-Learning-with-Python#python-machine-learning-notebooks-ml-website
Please feel free to connect on LinkedIn here	https://www.linkedin.com/in/tirthajyoti-sarkar-2127aa7
	https://github.com/edghpark/Machine-Learning-with-Python#dr-tirthajyoti-sarkar-fremont-ca-please-feel-free-to-connect-on-linkedin-here
	https://github.com/edghpark/Machine-Learning-with-Python#requirements
"Some Essential Hacks and Tricks for Machine Learning with Python"	https://heartbeat.fritz.ai/some-essential-hacks-and-tricks-for-machine-learning-with-python-5478bc6593f2
	https://github.com/edghpark/Machine-Learning-with-Python#some-essential-hacks-and-tricks-for-machine-learning-with-python
	https://camo.githubusercontent.com/83beec85483ed4954a90e45f0c113c5ecead75a4e2e0ebe8e7286fe1f7aff7df/68747470733a2f2f636f6f6b69656567726f75702e636f6d2f77702d636f6e74656e742f75706c6f6164732f323031382f31302f322d312e706e67
	https://github.com/edghpark/Machine-Learning-with-Python#essential-tutorial-type-notebooks-on-pandas-and-numpy
Detailed Numpy operations	https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Pandas%20and%20Numpy/Numpy_operations.ipynb
Detailed Pandas operations	https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Pandas%20and%20Numpy/Pandas_Operations.ipynb
Numpy and Pandas quick basics	https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Pandas%20and%20Numpy/Numpy_Pandas_Quick.ipynb
Matplotlib and Seaborn quick basics	https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Pandas%20and%20Numpy/Matplotlib_Seaborn_basics.ipynb
Advanced Pandas operations	https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Pandas%20and%20Numpy/Advanced%20Pandas%20Operations.ipynb
How to read various data sources	https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Pandas%20and%20Numpy/Read_data_various_sources/How%20to%20read%20various%20sources%20in%20a%20DataFrame.ipynb
PDF reading and table processing demo	https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Pandas%20and%20Numpy/Read_data_various_sources/PDF%20table%20reading%20and%20processing%20demo.ipynb
How fast are Numpy operations compared to pure Python code?	https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Pandas%20and%20Numpy/How%20fast%20are%20NumPy%20ops.ipynb
article	https://towardsdatascience.com/why-you-should-forget-for-loop-for-data-science-code-and-embrace-vectorization-696632622d5f
Fast reading from Numpy using .npy file format	https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Pandas%20and%20Numpy/Numpy_Reading.ipynb
article	https://towardsdatascience.com/why-you-should-start-using-npy-file-more-often-df2a13cc0161
	https://github.com/edghpark/Machine-Learning-with-Python#tutorial-type-notebooks-covering-regression-classification-clustering-dimensionality-reduction-and-some-basic-neural-network-algorithms
	https://github.com/edghpark/Machine-Learning-with-Python#regression
	https://camo.githubusercontent.com/a20fd15968101c92a47a759f0cf49478573df42022527f586bae132e7a89e463/68747470733a2f2f736c696465706c617965722e636f6d2f736c6964652f363035333138322f32302f696d616765732f31302f53696d706c652b4c696e6561722b52656772657373696f6e2b4d6f64656c2e6a7067
Multiple ways to perform linear regression in Python and their speed comparison	https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Regression/Linear_Regression_Methods.ipynb
check the article I wrote on freeCodeCamp	https://medium.freecodecamp.org/data-science-with-python-8-ways-to-do-linear-regression-and-measure-their-speed-b5577d75f8b
Multi-variate regression with regularization	https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Regression/Multi-variate%20LASSO%20regression%20with%20CV.ipynb
	https://camo.githubusercontent.com/19dff5115626989d03b2837408d408331b67126f9f576da8f6c55c15217c0648/68747470733a2f2f75706c6f61642e77696b696d656469612e6f72672f77696b6970656469612f636f6d6d6f6e732f7468756d622f662f66382f4c315f616e645f4c325f62616c6c732e7376672f33303070782d4c315f616e645f4c325f62616c6c732e7376672e706e67
check the article I wrote on Towards Data Science	https://towardsdatascience.com/machine-learning-with-python-easy-and-robust-method-to-fit-nonlinear-data-19e8a1ddbd49
Decision trees and Random Forest regression	https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Regression/Random_Forest_Regression.ipynb
Detailed visual analytics and goodness-of-fit diagnostic tests for a linear regression problem	https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Regression/Regression_Diagnostics.ipynb
Robust linear regression using HuberRegressor from Scikit-learn	https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Regression/Robust%20Linear%20Regression.ipynb
	https://github.com/edghpark/Machine-Learning-with-Python#classification
Here is the Notebook	https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Classification/Logistic_Regression_Classification.ipynb
	https://camo.githubusercontent.com/203433cd3bf1cb146836c0be530ec0166f92c17f944419ac00de15e9b5309f8a/68747470733a2f2f7170682e66732e71756f726163646e2e6e65742f6d61696e2d71696d672d3931346232396537373765373862343462363732343662363661346436643731
Here is the Notebook	https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Classification/KNN_Classification.ipynb
Here is the Notebook	https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Classification/DecisionTrees_RandomForest_Classification.ipynb
Here is the Notebook	https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Classification/Support_Vector_Machine_Classification.ipynb
check the article I wrote in Towards Data Science on SVM and sorting algorithm	https://towardsdatascience.com/how-the-good-old-sorting-algorithm-helps-a-great-machine-learning-technique-9e744020254b
	https://camo.githubusercontent.com/c0a88222f380708c67b7daf06ef8c4e5381fae00699fdd98c0d8aac8c0d79afd/68747470733a2f2f646f63732e6f70656e63762e6f72672f322e342f5f696d616765732f6f7074696d616c2d6879706572706c616e652e706e67
Here is the Notebook	https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Classification/Naive_Bayes_Classification.ipynb
	https://github.com/edghpark/Machine-Learning-with-Python#clustering
	https://camo.githubusercontent.com/ae8d572b41d0a4833f42d57a4fffef9535ccddeaa07c50719a8218f1ca0b3bf9/68747470733a2f2f692e7974696d672e636f6d2f76692f494a74363275615a522d4d2f6d617872657364656661756c742e6a7067
Here is the Notebook	https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Clustering-Dimensionality-Reduction/K_Means_Clustering_Practice.ipynb
Here is the Notebook	https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Clustering-Dimensionality-Reduction/Affinity_Propagation.ipynb
Here is the Notebook	https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Clustering-Dimensionality-Reduction/Mean_Shift_Clustering.ipynb
Here is the Notebook	https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Clustering-Dimensionality-Reduction/DBScan_Clustering.ipynb
Here is the Notebook	https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Clustering-Dimensionality-Reduction/Hierarchical_Clustering.ipynb
	https://camo.githubusercontent.com/40f3940d8287885aa32db683f3e25d90e51d00e8609bd3221f45f140836b1eab/68747470733a2f2f7777772e7265736561726368676174652e6e65742f70726f66696c652f4361727374656e5f57616c746865722f7075626c69636174696f6e2f3237333435363930362f6669677572652f666967332f41533a32393438363630363530383434313940313434373331323935363530312f4578616d706c652d6f662d68696572617263686963616c2d636c7573746572696e672d636c7573746572732d6172652d636f6e73656375746976656c792d6d65726765642d776974682d7468652d6d6f73742e706e67
	https://github.com/edghpark/Machine-Learning-with-Python#dimensionality-reduction
	https://camo.githubusercontent.com/af1155a85ba16ad613e2ad0a19eeb579a8cb413d377ca35586a329e7a86baebd/68747470733a2f2f692e7974696d672e636f6d2f76692f5150343349792d515157592f6d617872657364656661756c742e6a7067
	https://github.com/edghpark/Machine-Learning-with-Python#deep-learningneural-network
Demo notebook to illustrate the superiority of deep neural network for complex nonlinear function approximation task	https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Function%20Approximation%20by%20Neural%20Network/Polynomial%20regression%20-%20linear%20and%20neural%20network.ipynb
	https://github.com/edghpark/Machine-Learning-with-Python#random-data-generation-using-symbolic-expressions
Sympy package	https://www.sympy.org/en/index.html
Random regression and classification problem generation with symbolic expression	https://towardsdatascience.com/random-regression-and-classification-problem-generation-with-symbolic-expression-a4e190e37b8d
	https://github.com/edghpark/Machine-Learning-with-Python#simple-deployment-examples-serving-ml-models-on-web-api
Serving a linear regression model through a simple HTTP server interface	https://github.com/tirthajyoti/Machine-Learning-with-Python/tree/master/Deployment/Linear_regression
Serving a recurrent neural network (RNN) through a HTTP webpage	https://github.com/tirthajyoti/Machine-Learning-with-Python/tree/master/Deployment/rnn_app
	https://github.com/edghpark/Machine-Learning-with-Python#object-oriented-programming-with-machine-learning
building your own Scikit-learn-like estimator, and making it better	https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/OOP_in_ML/Class_MyLinearRegression.ipynb
Object-oriented programming for data scientists: Build your ML estimator	https://towardsdatascience.com/object-oriented-programming-for-data-scientists-build-your-ml-estimator-7da416751f64
How a simple mix of object-oriented programming can sharpen your deep learning prototype	https://towardsdatascience.com/how-a-simple-mix-of-object-oriented-programming-can-sharpen-your-deep-learning-prototype-19893bd969bd
machine-learning-with-python.readthedocs.io/en/latest/	https://machine-learning-with-python.readthedocs.io/en/latest/
Readme	https://github.com/edghpark/Machine-Learning-with-Python#readme-ov-file
BSD-2-Clause license	https://github.com/edghpark/Machine-Learning-with-Python#BSD-2-Clause-1-ov-file
Please reload this page	https://github.com/edghpark/Machine-Learning-with-Python
Activity	https://github.com/edghpark/Machine-Learning-with-Python/activity
0 forks	https://github.com/edghpark/Machine-Learning-with-Python/forks
Report repository	https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Fedghpark%2FMachine-Learning-with-Python&report=edghpark+%28user%29
Releases	https://github.com/edghpark/Machine-Learning-with-Python/releases
Packages 0	https://github.com/users/edghpark/packages?repo_name=Machine-Learning-with-Python
Please reload this page	https://github.com/edghpark/Machine-Learning-with-Python
Contributors	https://github.com/edghpark/Machine-Learning-with-Python/graphs/contributors
Please reload this page	https://github.com/edghpark/Machine-Learning-with-Python
	https://github.com
Terms	https://docs.github.com/site-policy/github-terms/github-terms-of-service
Privacy	https://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Security	https://github.com/security
Status	https://www.githubstatus.com/
Community	https://github.community/
Docs	https://docs.github.com/
Contact	https://support.github.com?tags=dotcom-footer

Viewport: width=device-width

URLs of crawlers that visited me.