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Machine Learning with Python (Full Course) #freeonlinecourse

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Machine Learning with Python (Full Course)
Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
*We need your support to SUBSCRIBE / Click LIKE, Share if you find this video helpful (as the motivation for us to produce more FREE videos)*
In this course, you will learn machine learning with python programming.
⭐ Table of Contents ⭐
⌨️ (0:00) Machine learning Intro
⌨️ (22:26) Linear Regression
⌨️ (42:03) Train test split
⌨️ (46:58) Model evaluation
⌨️ (1:07:37) sklearn pipeline
⌨️ (1:36:16) Logistic regression
⌨️ (2:04:55) Decision boundaries
⌨️ (2:19:52) Confusion Matrices
⌨️ (2:33:52) Recall and Precision
⌨️ (2:48:01) Regularization and standardization
⌨️ (3:03:56) K-means clustering
⌨️ (3:29:57) K-means clustering with sklearn
You may click CC (Caption / Subtitle) on the video or click Transcripts to read the scripts for better understanding.
PUBLICATION PERMISSIONS:
Original video was published with the Creative Commons Attribution license (reuse allowed).
------------------------------------------------------------------------------------
#machinelearning
#python
#Programming
#learnmachinelearning
#machinelearningtutorialforbeginners
#onlinetutorial
--------------------------------------------------------------------------------
Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
*We need your support to SUBSCRIBE / Click LIKE, Share if you find this video helpful (as the motivation for us to produce more FREE videos)*
In this course, you will learn machine learning with python programming.
⭐ Table of Contents ⭐
⌨️ (0:00) Machine learning Intro
⌨️ (22:26) Linear Regression
⌨️ (42:03) Train test split
⌨️ (46:58) Model evaluation
⌨️ (1:07:37) sklearn pipeline
⌨️ (1:36:16) Logistic regression
⌨️ (2:04:55) Decision boundaries
⌨️ (2:19:52) Confusion Matrices
⌨️ (2:33:52) Recall and Precision
⌨️ (2:48:01) Regularization and standardization
⌨️ (3:03:56) K-means clustering
⌨️ (3:29:57) K-means clustering with sklearn
You may click CC (Caption / Subtitle) on the video or click Transcripts to read the scripts for better understanding.
PUBLICATION PERMISSIONS:
Original video was published with the Creative Commons Attribution license (reuse allowed).
------------------------------------------------------------------------------------
#machinelearning
#python
#Programming
#learnmachinelearning
#machinelearningtutorialforbeginners
#onlinetutorial
--------------------------------------------------------------------------------