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
- Since 2001, Making IT Experts by Experts
- Duration: 40 Hours (Vary as per your skill)
- Course Fees
- Individual Live Classes (1:1)
- Batch Classes @ Low Fees
- Training on Your Time, Any Where
- Access to Recorded Videos
- Practical Internship on Projects
- 100% Placement Support by our jobsNEAR.in
- Training/Internship Certificate
- Web Development Courses in New York
- Mobile App Develpment Courses in New York
- Website Design Courses in New York
- Networking and Security Courses in New York
- Digital Marketing (SEO) Courses in New York
- Graphics Training Courses in New York
- Cloud Computing Courses in New York
- Mean Stack Development Courses in New York
- Python Full Packages Courses in New York
- Animation & Video Editing Courses in New York
- Mern Stack Development Courses in New York
Course Highlights
Featured Courses
Check out our NESTSOFT courses in New York if you're interested in learning more about Machine Learning. Machine learning is the most in-demand position in the information technology industry right now.
Machine Learning Engineer, Data Architect, Data Manager, Machine Learning Specialist, and more job profiles are available to machine learning certification holders.
An overview of artificial intelligence and machine learning, fundamental principles for machine learning, data pre-processing, feature extraction, regression, logistic regression, nave Bayes, decision trees, kernel methods, and support vector machine and k-means and hierarchical clustering are among the topics covered in this course.
. Learning machine learning can help you advance your profession. The New York machine learning course covers the fundamentals of computational data processing, visualization, prediction, and current deep learning topics. 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. Anyone who completes this course can expect a typical salary increase of 48% and be hired by one of our 100+ hiring employers.
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.
