Machine Learning Professional Training

Being an IT company, we know exact profile specifications and technical requirements for Machine Learning developers. We have drafted the most advanced industry oriented curriculum for Machine Learning.

That’s why NSPL Machine Learning Training in Amritsar is ranked best among professionals in international arena.

Machine Learning Training will be delivered by NSPL senior Machine Learning developers who have experience of more than 10 years on international and domestic Machine Learning projects.

Their vast experience and mentoring at our Machine Learning Training Centre in Amritsar help you learn Machine Learning from scratch to most advanced APP Building Topics.

Training Curriculum:

• Module I
• Artificial Intelligence
• Artificial Intelligence Fundamentals
• Intelligent Agents
• Uninformed Search
• Constraint Satisfaction Search
• Heuristic & Meta-Heuristics
• Adversarial Search
• Parallel Search
• Genetic Algorithms
• Emergent Behavior
• Search Engines
• Module II
• Python Programming
• Python Programming Fundamentals
• Variables & Data Types
• Operators
• Conditional Statements
• Looping
• Functions
• Lists and Tuples
• Arrays and Sets
• Dictionaries
• Lambda
• Module III
• Object Oriented Programming
• Object Oriented Programming Fundamentals
• Defining Classes & Objects
• Object Properties
• Object Methods
• Self Parameter
• Class Constructors
• Class Inheritance
• Multilevel Inheritance
• Multiple Inheritance
• Super Function
• Module IV
• Machine Learning
• Machine Learning Fundamentals
• Machine Learning Algorithms
• Machine Learning Tools
• Canonical Learning Problems
• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning
• SciKit Learn
• Matplotlib
• Pandas
• Module V
• Machine Learning Algorithms
• Linear Regression
• Multi Variable Regression
• Gradient Descent
• Feature Scaling
• Logistic Regression
• Decision Trees
• Random Forests
• Naive Bayes
• Clustering
• SVM
• Module VI
• Natural Language Processing
• Natural Language Processing Fundamentals
• Language Computing
• Language Models
• Text classifications
• Computational Linguistics
• Morphology
• Parsing
• Semantic Interpretation
• Semantic Aspects
• Pragmatics
• Module VII
• Deep Learning
• Deep Neural Network Fundamentals
• Convolutional Neural Network (CNN)
• Recurrent Neural Network (RNN)
• Distributed TensorFlow
• Deep Belief Network
• Semantic Hashing
• Building Deep Learning Models,
• Troubleshoot Deep Learning Models
• Unsupervised Transductive
• Transfer Learning
• Module VIII
• Real Life Applied Case Study
• Capstone Project Fundamentals
• Requirement Analysis
• Project Planning
• Functional Breakup
• AI Administration
• AI Modelling
• Natural Language Processing
• System Validations
• System Testing
• Deployment
• Module IX
• Placement Preparation Process
• Placement Process Fundamentals
• Job Profile Structure
• Group Discussions
• Individual CV Preparation
• LinkedIn Job Profile
• Employment Skills Training
• Body Language Training
• Technical Interview Questionnaires
• HR Interview Questionnaires
• Mockup Interviews