Artificial Intelligence and Machine Learning
Machine Learning Regression Case Study
Author Subburaj Ramasamy
Description: This video gives 2 case studies executed in Jupyter Notebook.
1. Simple Linear Regression
2. Multiple Linear Regression
Illustrates that Profits of start ups depends on R&D spend
Classification & Regression Tree (CART) using Entropy
Author: Subburaj Ramasamy
In this video an intro to Decision Trees, types and terminology are discussed. A
Classification and Regression Tree Using Entrophy is constructed after giving an algorithm. We also discuss about multi-class classification and Regression tree.
A tree is implemented in Jupyter Notebook..
Classification and Regression Tree (CART) using gini
Author: Subburaj Ramasamy
In this video we define gini impurity. We build a decision tree using gini impurity to split nodes. We look at a Case Study on Customer attrition and implement them in Jupyter Notebook.
The tool Plotly in Jupyter Notebook -Visualizing Machine Learning
Author: Subburaj Ramasamy
In this Video the facilities Provided by Plotly an open source tool for visualization are highlighted live. This tool is for interactive plotting and highly useful for plotting various diagrams like bar graph, histogram etc. in many different styles. It is used for data visualization before choosing appropriate machine learning algorithm.
Deep Learning case study – Binary Classification using Artificial Neural Network
.Author: Subburaj Ramasamy
In this video, we determine customer attrition in a bank based on past data. This is a binary classification problem and we solve it using deep artificial neural network. We get an accuracy of more than 80%, which can further be improved by increasing the number of iterations.
Implementing a Classifier based on Support Vector machine
Author: Subburaj Ramasamy
In this video we wish to determine whether a customer will buy a car or not based on data about him. In this case study, we implement a binary classifier using support vector machine.
Unveiling Insights with Clustering Technique in Machine Learning
Author: Subbutraj ramasamy
In this Video, the author discusses the nitty-gritty of Clustering technique in Machine learning and its applications. The applications include Recommendation system, Image Segmentation, Document Clustering, Network Intrusion Detection and Social Networks Analysis.
Agglomerative Clustering
Author: Subburaj Ramasamy
In this Video, agglomerative algorithm for clustering is given.
We implement two types of clustering in Jupyter Notebook, namely; average link clustering and complete link clustering. We can even choose the number of clusters.
Programming with ISO/ANSI C++
ISO/IEC Standard C++ Basics: A comprehensive Introduction
Author: Subburaj Ramasamy
In this video an introduction to standard C++ is provided.
Data Types in C++
Author: Subburaj Ramasamy
In this video, we will discuss about the various data types supported in C++ language..
Operators in C++
Author: Subburaj Ramasamy
In this video we will discuss about the various types of operators and operator precedence.