Linear Regression Single Variable | Machine Learning Tutorial

preview_player
Показать описание


WsCube Tech is a leading Web, Mobile App & Digital Marketing company, and institute in India.

We help businesses of all sizes to build their online presence, grow their business, and reach new heights.

All the courses are job-oriented, up-to-date with the latest algorithms and modules, fully practical, and provide you hands-on projects.

📞 For more info about the courses, call us: +91-9024244886, +91-9269698122

✅ CONNECT WITH THE FOUNDER (Mr. Kushagra Bhatia) -

Connect with WsCube Tech on social media for the latest offers, promos, job vacancies, and much more:

--------------------------------------| Thanks |---------------------------
#MachineLearning #MachineLearningCourse
Рекомендации по теме
Комментарии
Автор

Thank you so much for such a clear explanation

pavneshkumar
Автор

Thank you ma'am for such a clear explanation ❤

Vinit_Gambhir
Автор

very clearly concepts clear good effort keep it up

aliawan
Автор

Thanks mam for your great contribution 🙏🏻

anishchar
Автор

Very Good explanation. But need one clarification, why did we use two [[]] and for premium we used only [] at step ln[6] i.e. reg.fit=(df[['age']], df['premium'])

kisanmanila
Автор

how can y intercept in negative the line is cutting y co ordinate on a positive value

saifsatti
Автор

Thanks for the helpful video! Can interviewer ask for internal calculations i.e. calculating slopes, intercept, etc.?

Vinit_Gambhir
Автор

please make video on linear regression with gradient decent

MDABEDAFNAN
Автор

I have an issue there that was giving the wrong answer to me in negative

ahmedkhanzada
Автор

where is the link for dowload the dataset????

xcxjwrn