Instructor-led Sessions
36 Hours of Online Live Instructor-Led Classes. Weekend Class : 12 sessions of 3 hours each. Weekday Class : 18 sessions of 2 hours each.
Machine Learning Training in Kolkata
Validate your skills as an MACHINE LEARNING expert
Machine Learning Training in Kolkata by Iteanz will make you an expert in machine learning, a form of artificial intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without definite programming and mastering the concepts and approaches of machine learning algorithms.Machine learning training courses can be taken by beginners as well as professionals who aspire to become a successful Machine Learning expert. Iteanz offers the best machine learning training in Kolkata and proved as leaders in machine learning corporate training companies in Kolkata
Analysis of massive quantities of data is possible by Machine learning . connecting machine learning with AI and cognitive technologies can make it even more effective in processing large volumes of information. The course will draw from numerous case studies and applications, so that you’ll learn how to apply learning algorithms to build smart robots. Start instantly and become experts.
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Training Features
Lifetime Access
You get lifetime access to Learning Management System (LMS) where presentations, quizzes, installation guide & class recordings are there.
Real-life Case Studies
Live project based on any of the selected use cases, involving implementation of the various Machine Learning services.
24 x 7 Expert Support
We have 24x7 online support team to resolve all your technical queries, through ticket based tracking system, for the lifetime.
Assignments
Live project based on any of the selected use cases, involving implementation of the various Machine Learning services.
Certification
Towards the end of the course, you will be working on a project. Iteanz certifies you as an Machine Learning Expert based on the project.
Course Outline
Chapter 1:Installation and configuration
Chapter 2:Data Preprocessing
Chapter 3:Regression Techniques
- Simple Linear Regression
- Multiple Linear Regression
- Polynomial Linear Regression
- Support Vector Regression
- Decision Tree Regression
- Random Forest Regression
- Evaluating Regression Model Performance
Chapter 4:Classification Techniques
- K-Nearest Neighbors (KNN)
- Support Vector Machine (SVM)
- Kernel SVM
- Naïve Bayes Classification
- Decision Tree Classification
- Random Forest Classification
- Evaluating Classification Model Performance
Chapter 5:Natural Language Processing (NLP)
- Basic of NLP
- Language preprocessing Techniques
- Auto summarizing the given text document
Chapter 6:Clustering Techniques
- K-Means Clustering
- K-mini Batch Clustering
- Hierarchical Clustering
Chapter 7:Elbow Method
Chapter 8:Curve Smoothening Techniques
Chapter 9:Association Rule Learning
Chapter 10:Reinforcement Learning
Chapter 11:Basics of Numpy and panda
Chapter 12:Deep Learning
- Basics/what is Deep Learning
Chapter 13:Artificial Neural Networks
- Principal Component Analysis (PCA)
- Linear Discriminant Analysis (LDA)
Chapter 14:Statistics Basics
- Standard Deviation
- Variance
- Co-Variance
- T-distribution
- Pearson Correlation Coefficient (PCC)/ Correlation Coefficient
Chapter 15:Model Selection
Why iteanz for MACHINE LEARNING training?
- Top technical trainers
- Real Time and Hands on Experience Training
- On Time Course Completion
- Comprehensive curriculum
- Innovative & interactive Training
- Superb satisfaction scores
- High Certification Pass Rate
Prerequisites
- Basic Linux Commands (Optional)
- You will need to set up an AWS Account (We help you to Setup)
- A Windows, Linux or Mac PC/Laptop
- 4G or At least 4MBPS Internet Speed
Intended Audience
- Machine Learning Absolute Beginners. No prior Machine Learning experience necessary
- Existing Solutions Architects
- Programmers Interested in Deploying Applications on Machine Learning