Function Transformer In Sklearn | Feature Transformations in Machine Learning | Sklearn Tutorials

#datasciences #sklearn #python In this video, you'll learn how to use the FunctionTransformer class in scikit-learn to apply various transformations to your features. We'll cover four commonly used transformations: logarithmic, square, square root, and reciprocal transformations. These transformations are essential for preprocessing numerical features in machine learning pipelines and can help improve model performance. Watch the video to understand the theory behind each transformation and see practical examples of how to implement them using FunctionTransformer in Python. Source Code:https://github.com/611noorsaeed/100-days-Scikit-Learn-Tutorials-/blob/main/11%20function%20transformers%20in%20sklearn.ipynb ============================== Channel Contents:------------- Full Stack AI Mastery: From Python to Expert Systems: https://www.youtube.com/playlist?list=PLdF3rLdF4ICQZWqrFYTutbuqHSc_swn7H Deep Learning: https://www.youtube.com/playlist?list=PLdF3rLdF4ICQgPC9q-fD7LKqiDSKBoGH6 Machine Learning Tutorials: https://www.youtube.com/watch?v=GnTIt3IFKEQ&list=PLdF3rLdF4ICTrOTMQ5XaUtHc-K0KGQzSS&pp=gAQBiAQB NLP Transfromer Projects: https://www.youtube.com/watch?v=cLtKAhaUqeo&list=PLdF3rLdF4ICRND3Urdm2nf6MM9ntkjvO6&pp=gAQBiAQB LangChain OpenAI Projects: https://www.youtube.com/watch?v=XmGtJG4ubqs&list=PLdF3rLdF4ICTwGLcd7FjqVurZe2OaWlz5&pp=gAQBiAQB Scikit-learn Tutorials: https://www.youtube.com/watch?v=NcVgJKaFecY&list=PLdF3rLdF4ICSDzmnqIueQDdyODJB8TaA0&pp=gAQBiAQB 100 Days Pandas: https://www.youtube.com/watch?v=U-6mZM8Ejc0&list=PLdF3rLdF4ICQGnskar9tqCuhi_tSCk40-&pp=gAQBiAQB Machine Leaning Projects: https://www.youtube.com/watch?v=eAgwvECLIRk&list=PLdF3rLdF4ICTDKN1VVTfAv35NR5mjK_hk&pp=gAQBiAQB NLP Projects: https://www.youtube.com/watch?v=hG8K5h2J-5g&list=PLdF3rLdF4ICQ4-fSEucMqoqMz1tEyjp9q&pp=gAQBiAQB Recommendation System Projects: https://www.youtube.com/watch?v=_R9Q_iuyvdc&list=PLdF3rLdF4ICTgEwDYcRAECQPnS8eynavM&pp=gAQBiAQB computer vision projects: https://www.youtube.com/watch?v=Ip3sjNGK7zU&list=PLdF3rLdF4ICQ92Su6Tg-S6tOuxO32NgWs&pp=gAQBiAQB 100 days mahine learning: https://www.youtube.com/watch?v=15zmcnX1Wts&list=PLdF3rLdF4ICQs8-3EzEEGOIIf6zKRWA6A&pp=gAQBiAQB Machine Learning Interview Preparation: OpenCV Tutorials: https://www.youtube.com/watch?v=gseWKGSvQrA&list=PLdF3rLdF4ICQG-RyfcOK3UgPP1XwKLexB&pp=gAQBiAQB 100 days computer vision: https://www.youtube.com/watch?v=4FBorEEinq4&list=PLdF3rLdF4ICSDGGZz6wj118qbVtQwgt7h&pp=gAQBiAQB Python Chatbot Development: https://www.youtube.com/watch?v=zktB8ceV7K0&list=PLdF3rLdF4ICQ3IeMsyl6ZI4NK45TPK1GJ&pp=gAQBiAQB Machine Learning Regression Projects: https://www.youtube.com/watch?v=5nl2JQzCUlg&list=PLdF3rLdF4ICTDXoDdeeyz6u9VGI-XggEK&pp=gAQBiAQB Python Advance Programs: https://www.youtube.com/watch?v=KS8j67rR6_M&list=PLdF3rLdF4ICRj-s_NsGmjxiZe4GKw4bgO&pp=gAQBiAQB python search engines developement: https://www.youtube.com/watch?v=9IULlMcQLE4&list=PLdF3rLdF4ICReR8yF6AFMPwgxyD1IoFMz&pp=gAQBiAQB Coviod-19 Machine Learning Projects: https://www.youtube.com/watch?v=AhbvQbc8f-s&list=PLdF3rLdF4ICQeWXTfln9Y9TQuzQBt97HB&pp=gAQBiAQB ================================ My Acounts Links: Facebook: https://web.facebook.com/dailyverbs.wordspresentation Github: https://github.com/account Linkdin: https://www.linkedin.com/in/noor-saeed-654a23263/?lipi=urn%3Ali%3Apage%3Ad_flagship3_feed%3BeidTfdQpSxSZXyUUejm5QQ%3D%3Dlipi=urn%3Ali%3Apage%3Anotifications_index_index%3Bfab7a03f-abe6-4798-af17-7239d91f7998 Kaggle: https://www.kaggle.com/noorsaeed

Artificial Intelligence vs Machine Learning vs Deep Learning

Complete Roadmap to Become a Data Scientist in 2022: https://youtu.be/lHKlCqx94OY Roadmap to Become a Data Analyst in 2022: https://youtu.be/024KMhTKlVs Definition of AI: https://en.wikipedia.org/wiki/Artificial_intelligence Image source: http://www.journalimcms.org/special_issue/an-empirical-science-research-on-bioinformatics-in-machine-learning/ Here's my favorite resources: Best Courses for Analytics: --------------------------------------------------------------------------------------------------------- + Google Analytics: https://coursera.pxf.io/x9jJe3 + IBM Data Science: https://coursera.pxf.io/9WjVmY + SQL Basics: https://coursera.pxf.io/5bDkWo Best Courses for Programming: --------------------------------------------------------------------------------------------------------- + Data Science in R: https://coursera.pxf.io/LPy0jV + Python for Everybody: https://coursera.pxf.io/QOvYaa + Data Structures & Algorithms: https://coursera.pxf.io/9WjVm4 Best Courses for Machine Learning: --------------------------------------------------------------------------------------------------------- + Math Prerequisites: https://coursera.pxf.io/kj14D0 + Machine Learning: https://coursera.pxf.io/Ao1gxK + Deep Learning: https://coursera.pxf.io/Jrvke2 + ML Ops: https://coursera.pxf.io/gbeRMg Best Courses for Statistics: --------------------------------------------------------------------------------------------------------- + Statistics with Python: https://coursera.pxf.io/Xxv40G + Statistics with R: https://coursera.pxf.io/za5zZ0 Best Courses for Big Data: --------------------------------------------------------------------------------------------------------- + Google Cloud Data Engineering: https://coursera.pxf.io/0JMGEO + AWS Data Science: https://coursera.pxf.io/n1Z4rV + Big Data Specialization: https://coursera.pxf.io/ORvYVZ More Courses: --------------------------------------------------------------------------------------------------------- + Tableau: https://coursera.pxf.io/3Pqk6r + Excel: https://coursera.pxf.io/RyN0gX + Computer Vision: https://coursera.pxf.io/doPyNW + Natural Language Processing: https://coursera.pxf.io/YgvVEe + IBM Dev Ops: https://coursera.pxf.io/KevBa7 + IBM Full Stack Cloud: https://coursera.pxf.io/mgJ497 + Object Oriented Programming: https://coursera.pxf.io/x9jJVx Become a Member of the Channel! https://bit.ly/3oOMrVH Follow me on LinkedIn! https://www.linkedin.com/in/greghogg/ Full Disclosure: Please note that I may earn a commission for purchases made at the above sites! I strongly believe in the material provided; I only recommend what I truly think is great. If you do choose to make purchases through these links; thank you for supporting the channel, it helps me make more free content like this!