Machine Learning

We Have Designed Specialized Industrial Training & Internship Modules With Advanced Machine Learning Training. We Offer Dedicated Machine Learning Training With Advanced Modules & Tools On Real Time Live Projects. We Provide Opportunity For Students To Develop Minor & Major Academic Projects During Summer Training & Internship Program.Explore the concepts of Machine Learning and understand how it’s transforming the digital world. An exciting branch of Artificial Intelligence, this Machine Learning certification online course will provide the skills you need to become a Machine Learning Engineer and unlock the power of this emerging field.

Theory + Practicals + Implementation
100% Live Project Based Internship
Individual & Group Academic Projects
Latest Advanced Training Modules
7 Days Specialized Placement Training

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Live Project Oriented

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Introduction to Machine Learning & AI
- Why Machine Learning & AI?
- Learning Objectives
- Emergence of Artificial Intelligence
- Artificial Intelligence in Practice
- Relationship between Artificial Intelligence, Machine Learning, and Data Science
- Definition and Features of Machine Learning
- Machine Learning Approaches
- Machine Learning Techniques
- Applications of Machine Learning
- Key Takeaways
Data Preprocessing
- Learning Objectives
- Data Exploration Loading Files
- Demo: Importing and Storing Data
- Data Exploration Techniques
- Importing Dataset
- Missing Data
- Categorical Dataset
- Splitting Data into Training Set & Test Set
- Featured Scaling
Types of Learning
- Supervised Learning
- Supervised Learning- Real-Life Scenario
- Understanding the Algorithm
- Supervised Learning Flow
- Types of Supervised Learning
- Unsupervised Learning
- Unsupervised Learning- Real-Life Scenario
- Understanding the Algorithm
- Unupervised Learning Flow
- Types of Unupervised Learning
Regression
- Simple Linear Regression
- Multiple Linear Regression
- Polynomial Regression
- Logistic Regression
- SVR Regression
- Decision Tree Regression
- Random Forest Regression
- Evaluating Regression Models Performance
Classification
- Logistic Regression
- K-Nearest Neighbors (KNN)
- Support Vector Machine(SVM)
- Kernel SVM
- Naive Bayes
- Decision Tree Classification
- Random Forest Classification
- Evaluating Regression Models Performance
Clustering
- K-Mean Clustering
- Hierarchical Clustering
Ensemble Learning
- Ensemble Learning
- Overview
- Ensemble Learning Methods
- Model Selection
- Common Splitting Strategies
- Linearly Separable Species
Project Highlights
- Project Highlights

Summer - Winter Training

Internship Program

Web Development

Trending JS

E-Commerce & CMS

Mobile

Trending Technology

Machine Learning

Introduction to Machine Learning & AI

Data Preprocessing

Types of Learning

Regression

Classification

Clustering

Ensemble Learning

Project Highlights

Digital Startup Support

Global Certifications

Live Project Exposure

Placement Support