Machine Learning Training

In this world of depending upon the Machines, Robots etc, Machine Learning helps in creating a useful machine capable of handling the issues and making own decisions without taking the help of external instructions.

Python and Data Science jointly work to implement Machine Learning Concepts. Candidates may join Machine Learning training to further work on Artificial Intelligent. Online Classes for Machine Learning are also available.

Machine Learning - Course Content:

• Module 1: Core Python Practice
• Module 2: Python Libraries for Data Science
• Module 3: Analysis and Visualization of Data
• Module 4: Linear & Logistic Regression
• Module 5: Introduction to Machine Learning
• Module 6: Unsupervised Learning: Segmentation
• Module 7: Clustering of K-Means
• Module 8: Decision Tree
• Module 9: Types of Decision Tree Algorithms
• Module 10: Modeling Process
• Module 11: Ensemble Learning (Supervised)
• Module 12: Methods of Ensembling
• Module 13: Neural Networks
• Module 14: Single Layered Neural Network
• Module 15: Multi Layered Neural Network
• Module 16: Support Vector
• Module 17: Validating SVM models
• Module 18: K-Nearest Neighbors (KNN) Algorithm
• Module 19: Naïve Bayes Theorem
• Module 20: Applications of Naive Bayes
• Module 21: Data Mining Concept
• Module 22: Implementation of Algorithms