machine-learning-1

Machine Learning

Machine Learning uses a data-driven approach, It is typically trained on historical data and then used to make predictions on new data.

Lesson: 10
08:07:13 Hrs
Last Updated 14-03-2024

Curriculum for this course Lesson: 10 08:07:13 Hrs

Section 1: Machine Learning Full Course Lesson

Lesson 1: Machine Learning Full Course06:21:32

Section 2: Introduction To Machine Learning ll Machine Learning Course Lesson

Lesson 2: Introduction To Machine Learning ll Machine Learning Course00:12:00

Section 3: Basics Of Training And Testing Phase ll Machine Learning Lesson

Lesson 3: Basics Of Training And Testing Phase00:10:04

Section 4: Feature Selection Techniques Lesson

Lesson 4: Feature Selection Techniques Explained with Examples in Hindi ll Machine Learning Course00:13:01

Section 5: Basics Of Principal Component Analysis Part-1 Lesson

Lesson 5: Basics Of Principal Component Analysis Part-1 Explained in Hindi ll Machine Learning Course00:09:07

Section 6: Principal Component Analysis(PCA) Part-2 Lesson

Lesson 6: Principal Component Analysis(PCA) Part-2 Explained with Solved Example in Hindi l Machine Learning00:12:46

Section 7: Linear Regression Lesson

Lesson 7: Linear Regression Explained in Hindi ll Machine Learning Course00:14:19

Section 8: Bayes Theorem Explained Lesson

Lesson 8: Bayes Theorem Explained with Solved Example in Hindi ll Machine Learning Course00:11:08

Section 9: Naive Bayes Classifier ll Data Mining And Warehousing Lesson

Lesson 9: Naive Bayes Classifier ll Data Mining And Warehousing Explained with Solved Example in Hindi00:10:48

Section 10: DBSCAN (Density Based Spatial Clustering Of Applications with Noise) Lesson

Lesson 10: DBSCAN (Density Based Spatial Clustering Of Applications with Noise) ll Machine Learning (Hindi)00:12:28

Description

Machine Learning uses a data-driven approach, It is typically trained on historical data and then used to make predictions on new data..

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08:07:13 Hrs on demand videos
Lesson: 10
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