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
 
			
													
												 
							 
		
 
								 Learning machine learning can help you advance your profession. The Kerala machine learning course covers the fundamentals of computational data processing, visualization, prediction, and current deep learning topics.  By enrolling in NESTSOFT machine learning classes, you will gain exposure to industrial projects or machine learning certification from a specific area.  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.  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. 
Machine learning is the study of computational algorithms that can automatically improve witpracticese and is implemented as part of artificial intelligence.  As a result of the increased demand, experts have been able to land the highest-paying positions.  We live in a world surrounded by humans who can study everything using their abilities and learning abilities, as well as machines that follow our directions. 
You'll also have the opportunity to work as a data scientist, Machine Learning engineer, or data engineer for several years and learn from industry specialists.  Candidates will acquire the fundamental concepts and intuition underpinning modern machine learning algorithms, as well as a more formal knowledge of how, when, and why they work, in this course.
							
			 Learning machine learning can help you advance your profession. The Kerala machine learning course covers the fundamentals of computational data processing, visualization, prediction, and current deep learning topics.  By enrolling in NESTSOFT machine learning classes, you will gain exposure to industrial projects or machine learning certification from a specific area.  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.  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. 
Machine learning is the study of computational algorithms that can automatically improve witpracticese and is implemented as part of artificial intelligence.  As a result of the increased demand, experts have been able to land the highest-paying positions.  We live in a world surrounded by humans who can study everything using their abilities and learning abilities, as well as machines that follow our directions. 
You'll also have the opportunity to work as a data scientist, Machine Learning engineer, or data engineer for several years and learn from industry specialists.  Candidates will acquire the fundamental concepts and intuition underpinning modern machine learning algorithms, as well as a more formal knowledge of how, when, and why they work, in this course. 									
									 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
									
									
									
								 
												 
												 
												 
												 
												 
												 
												 
												 
												 
												 
												 
												 
												 
												 
												 
												 
												 
												 
												 
												 
												 
												 
												 
												 
												 
												 
												 
												 
                                                    
                                               
                                         
                                                    
                                               
                                         
                                                    
                                               
                                         
                                                    
                                               
                                         
                                                    
                                               
                                         
                                                    
                                               
                                         
                                                    
                                               
                                         
                                                    
                                               
                                         
                                                    
                                               
                                         
                                                    
                                               
                                         
                                                    
                                               
                                        