Machine Learning Course | Samyak Computer Classes

Course Content

Modules Status

Machine learning algorithms

Techniques of Machine Learning

Applications of Machine Learning

Review of linear algebra

Data Preprocessing

Supervised learning algorithms

Linear Regression with single Variable

Linear Regression with Multiple Variables

Logistic Regression & Random Forest

Decision Tree Regression

Classification using KNN

Classification using GINI

Classification using SVM(support vector machine)

Neural Networks: Representation

Neural Networks: Learning for regression and classification

Unsupervised learning – Clustering

Mining of data using LSI

Large Scale Machine Learning

25+ Branches Worldwide | +91 977.227.1081

25+ Branches Worldwide | +91 977.227.1081

25+ Branches Worldwide | +91 977.227.1081

Course Content

Machine learning algorithms

Techniques of Machine Learning

Applications of Machine Learning

Review of linear algebra

Data Preprocessing

Supervised learning algorithms

Linear Regression with single Variable

Linear Regression with Multiple Variables

Logistic Regression & Random Forest

Decision Tree Regression

Classification using KNN

Classification using GINI

Classification using SVM(support vector machine)

Neural Networks: Representation

Neural Networks: Learning for regression and classification

Unsupervised learning – Clustering

Mining of data using LSI

Large Scale Machine Learning

Request Call Back

25+ Branches

Why Samyak

25+ Branches Worldwide | +91 977.227.1081

Course Content

Request Call Back

25+ Branches

Why Samyak

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