Machine Learning Training by Experts
Our Training Process

Machine Learning - Syllabus, Fees & Duration
Module 1 : CORE PYTHON
- Short history
 - Introduction
 - Features of Python
 - Python2 Vs Python 3
 - Python Installation
 - Python Interpreter
 - How to Run Python
 - Basic Syntax
 - Python Identifiers, Keywords and Indentation Rules
 - Type Checking
 - Input, Output, Variables, Data Type and Datatype Casting
 
Module 2 : MACHINE LEARNING
- Data Analysis
 - Data Visualization
 - Data Classification
- Supervised Learning Unsupervised Learning
 
 
Module 3 : SUPERVISED LEARNING
-  Classification
 
- K-Nearest Neighbours
 - Decision Tree
 - Naive Bayes
 - Logistic Regression
 - Support Vector Machine
 - Random Forest
 - Logistic Regression
 
 -  Regression
- Single Linear Regression
 - Multiple Linear Regression
 
 
Module 4 : UNSUPERVISED LEARNING
-  Clustering
- Hierarchical Clustering
 - KMeans Algorithm Association
 
 
Module 5 : DATA PREPROCESSING
- PCA
 - Dimensionality reduction
 - Correlation
 - Features Extraction Algorithm
 
This syllabus is not final and can be customized as per needs/updates
			
													
												
							
		
								
							
			 You'll need data training capabilities, algorithm basics, advanced, automation, and iterative processes, ensemble modeling, and scalability to build a strong ML (machine learning) system.  The student will be able to create and apply pattern classification algorithms to categorize multivariate data, create and apply regression algorithms to uncover correlations between data variables, and use reinforcement learning methods to operate complicated systems after finishing the course.  As a result of the increased demand, experts have been able to land the highest-paying positions.  Learning machine learning can help you advance your profession.  Machine learning focuses on the development of computer algorithms that can access data and learn on their own.  Machine learning is the most in-demand position in the information technology industry right now.  Image recognition, speech recognition, traffic prediction, product recommendations, self-driving cars, and other applications of machine learning are just a few examples. 
Machine learning is the study of computational algorithms that can automatically improve witpracticese and is implemented as part of artificial intelligence.  Can a machine, like a human, learn from skills or previous data? So here's where Machine Learning comes in.  Check out our NESTSOFT courses in Delhi if you're interested in learning more about Machine Learning.