Theoretical Paper
- Computer Organization
- Data Structure
- Digital Electronics
- Object Oriented Programming
- Discrete Mathematics
- Graph Theory
- Operating Systems
- Software Engineering
- Computer Graphics
- Database Management System
- Operation Research
- Computer Networking
- Image Processing
- Internet Technologies
- Micro Processor
- E-Commerce & ERP
Practical Paper
Industrial Training
Introduction to Machine Learning
- Machine Learning - Introduction
- Machine Learning - What Today’s AI Can Do?
- Machine Learning - Traditional AI
- Machine Learning - What is Machine Learning?
- Machine Learning - Categories
- Machine Learning - Supervised
- Machine Learning - Scikit-learn Algorithm
- Machine Learning - Unsupervised
- Machine Learning - Artificial Neural Networks
- Machine Learning - Deep Learning
- Machine Learning - Skills
- Machine Learning - Implementing
- Machine Learning - Conclusion
- Machine Learning - Hierarchical Clustering
- KNN Algorithm - Finding Nearest Neighbors
- Machine Learning - Performance Metrics
- Machine Learning - Automatic Workflows
- Improving Performance of ML Models
- Improving Performance of ML Model(Contd..)
- Machine Learning with Python - Basics
- Machine Learning with Python - Ecosystem
- Machine Learning with Python - Methods
- Data Loading for ML Projects
- ML - Understanding Data with Statistics
- ML - Understanding Data with Visualization
- Machine Learning - Preparing Data
- Machine Learning - Data Feature Selection
- Machine Learning - Logistic Regression
- ML - Support Vector Machine(SVM)
- Classification Algorithms - Decision Tree
- Classification Algorithms - Naïve Bayes
- Classification Algorithms - Random Forest
- Regression Algorithms - Linear Regression
- ML - Clustering K-Means Algorithm
- ML - Clustering Mean Shift Algorithm