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Lessons List | 22 Lesson
Machine Learning Kya Hai Opportunities Advantage Classification of Machine Learning
00:36:45

Machine Learning Kya Hai Opportunities Advantage Classification of Machine Learning
Top 10 Applications of Machine Learning in Day to Day Life Machine Learning Application Examples
00:18:27

Top 10 Applications of Machine Learning in Day to Day Life Machine Learning Application Examples
Machine Learning Life cycle Explained Complete Information
00:17:55

Machine Learning Life cycle Explained Complete Information
Install Anaconda and Python on Windows Latest Version Machine Learning
00:13:55

Install Anaconda and Python on Windows Latest Version Machine Learning
Artificial Intelligence vs Machine Learning vs Deep Learning Machine Learning Tutorial
00:15:47

Artificial Intelligence vs Machine Learning vs Deep Learning Machine Learning Tutorial
What is Dataset Types of Datasets Machine Learning सम्पूर्ण जानकारी
00:18:13

What is Dataset Types of Datasets Machine Learning सम्पूर्ण जानकारी
Data Preprocessing Kya Hai Techniques Steps of Data Preprocessing Machine Learning
00:34:55

Data Preprocessing Kya Hai Techniques Steps of Data Preprocessing Machine Learning
What are Features and Labels in Machine Learning with Example Machine Learning Tutorial
00:07:04

What are Features and Labels in Machine Learning with Example Machine Learning Tutorial
What is Supervised Machine Learning Types Advantages Disadvantages of Supervised Learning
00:13:39

What is Supervised Machine Learning Types Advantages Disadvantages of Supervised Learning
What is Unsupervised Machine Learning Association Clustering Algorithms in Machine Learning
00:18:51

What is Unsupervised Machine Learning Association Clustering Algorithms in Machine Learning
Training Testing Data in Machine Learning Complete Information
00:10:47

Training Testing Data in Machine Learning Complete Information
Linear Regression Single Variable Machine Learning Tutorial
00:18:30

Linear Regression Single Variable Machine Learning Tutorial
Linear Regression Multiple Variable Machine Learning Tutorial
00:22:05

Linear Regression Multiple Variable Machine Learning Tutorial
Machine Learning Polynomial Regression Explained ML Tutorial for Beginners
00:16:54

Machine Learning Polynomial Regression Explained ML Tutorial for Beginners
Logistic Regression Binary Classification Machine Learning Tutorial
00:18:48

Logistic Regression Binary Classification Machine Learning Tutorial
Logistic Regression Multiclass Classification Machine Learning Tutorial
00:15:18

Logistic Regression Multiclass Classification Machine Learning Tutorial
Decision Tree Classification in Machine Learning Decision Tree in ML
00:23:47

Decision Tree Classification in Machine Learning Decision Tree in ML
Random Forest Classification in Machine Learning Random Forest Tutorial
00:31:04

Random Forest Classification in Machine Learning Random Forest Tutorial
Naive Bayes Classifier Algorithm in Machine Learning Machine Learning Tutorial
00:22:17

Naive Bayes Classifier Algorithm in Machine Learning Machine Learning Tutorial
Support Vector Machine Algorithm in Machine Learning Machine Learning Tutorial
00:20:14

Support Vector Machine Algorithm in Machine Learning Machine Learning Tutorial
Confusion Matrix In Machine Learning Machine Learning Tutorial
00:11:05

Confusion Matrix In Machine Learning Machine Learning Tutorial
Overfit Underfit in Machine Learning Machine Learning Tutorial for Beginners
00:13:23

Overfit Underfit in Machine Learning Machine Learning Tutorial for Beginners

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Course Description

Machine learning application course in hindi, in this course we delve into practical implementations of machine learning techniques across various domains. Starting with an overview of machine learning applications, we explore real-world use cases such as data analysis, trend prediction, natural language processing, and image recognition. Through hands-on projects and case studies, students gain insights into how machine learning drives innovation in fields like healthcare, finance, fraud detection, and autonomous systems. This course equips learners with the skills to tackle complex problems and harness the power of machine learning in diverse applications.
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