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 Chandigarh
Validate your skills as an MACHINE LEARNING expert
Through Machine Learning Training in Chandigarh,You will master machine learning concepts and techniques and hands-on modeling to develop algorithms .Machine Learning Training courses most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. Iteanz offers unique Machine Learning Training in Chandigarh for individuals and also Machine Learning corporate training companies in Chandigarh.
Machine Learning is the basis for the most exciting careers in data analysis today. Our approach will be more practically motivated. Iteanz can make beginners and professionals to become a successful Machine Learning expert. Machine learning is used extensively today that we probably use it abundantly everyday without knowing it
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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