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 Cochin
- Mobile App Develpment Courses in Cochin
- Website Design Courses in Cochin
- Networking and Security Courses in Cochin
- Digital Marketing (SEO) Courses in Cochin
- Graphics Training Courses in Cochin
- Cloud Computing Courses in Cochin
- Mean Stack Development Courses in Cochin
- Python Full Packages Courses in Cochin
- Animation & Video Editing Courses in Cochin
- Mern Stack Development Courses in Cochin
Course Highlights
Featured Courses
Can a machine, like a human, learn from skills or previous data? So here's where Machine Learning comes in.
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. 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. 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. Machine learning focuses on the development of computer algorithms that can access data and learn on their own.
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. Learning machine learning can help you advance your profession. The instructors are industry experts that work for top companies and have 10+ years of expertise in their industries.
.
