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Linear Algebra for Data Science Using Python Specialization - mitsumi - 16.09.2022
![[Bild: 0985f630ae354949565b85b01fa6303a.jpeg]](https://i120.fastpic.org/big/2022/0916/3a/0985f630ae354949565b85b01fa6303a.jpeg)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 8h 32m | Size: 1.05 GB
WHAT YOU WILL LEARN
Use Python to solve vector equations
Apply linear algebra concepts such as the inverse of a matrix, row reduction, and eigenvalues and eigenvectors
Use regression models
Apply linear algebra to analyze data, create, and make predictions based off of a regression model
SKILLS YOU WILL GAIN
Python Programming
Data Model
Eigenvalues And Eigenvectors
Matrices
Linear Algebra
About this Specialization
2,435 recent views
This Specialization is for learners interested in exploring or pursuing careers in data science or understanding some data science for their current roles. This course will build upon your previous mathematical foundations and equip you with key applied tools for using and analyzing large data sets.
Applied Learning Project
Throughout this specialization, learners can practice individually and with peers using Python and linear algebra concepts. Learners will also engage in programming assignments, peer-graded assignments, quizzes, and discussion topics such as data modeling and matrices. For the Capstone project, learners will employ linear regression models to solve real-world problems, apply skills to analyze data, and develop linear regression models to make predictions.
![[Bild: 59730362fd2671e59eed0bb7a5765d59.jpeg]](https://i120.fastpic.org/big/2022/0916/59/59730362fd2671e59eed0bb7a5765d59.jpeg)
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