Machine learning

Machine learning Training Provided by Nschool Training Institute in Coimbatore

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Created by Nschool Training Institute staff Last updated Mon, 28-Mar-2022 English


Machine learning free videos and free material uploaded by Nschool Training Institute staff .

Syllabus / What will i learn?

Types of machine learning

Reinforcement

Supervised

Unsupervised

Supervised Machine Learning

Linear Regression

Logistic Regression

Regression

Decision Tree

Into

Types

Algorithm

Implementation

Practical application Support Vector Machine

Into

Algorithm

Hyperplane and kernels

Random Forest

Random Forest

Algorithm

Classification

Entropy and Decision Tree

Theory

Naive Bayes

Intro

Algorithm

Bayes Theorem

Limitations, Practical Applications       

Theory of Classification

K – Nearest Neighbors

Theory

Algorithm

Distance Functions

Euclidean

Hamming

Minkowski

Practical application

Gradient Boosting

Intro

Gradient descent

Practical application

Types of boosting

Information Retrieval

Intro

Concepts

NLP (Natural Language  Processing)

Practical Application

Deep Learning

Intro

Artificial Neural Network(ANN)

Feature Learning and Engineering

Create an Application

Chat Bot



Curriculum for this course
0 Lessons 00:00:00 Hours
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Description

Studying Machine learning opens an expanse of chances. At an essential level, you will have a superior understanding of the smart systems and tools that you associate with day by day. What’s more, on the off chance that you stay with the subject and study more, you can help make front lines AI applications, similar to the Google Self Driving Car, IBM’s Watson, Amazon Alexa, and some more. This preparation incorporates working with constant information, developing algorithms using supervised & unsupervised learning, regression, classification, and time series modeling. Figure out how to utilize Python programming language in this Machine Learning instructional class to draw forecasts from the information.

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Material price :

Free

1:1 Online Training Fee: 15000 /-
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