PREM KUMAR BORUGADDA

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Hi friends, this is Dr PREMKUMAR BORUGADDA received M.Tech (CSE) and Ph.D. (Full-Time) in the stream of Artificial Intelligence & Machine Learning in the Dep...

Latest Videos

How GNNs are Different from Regular Neural Networks

How ‘GNN’ Works (Maths behind the GNNs with Python) (Example-2)

Time Seires Analysis

How ‘GNN’ Works (Maths behind the GNNs-Example-1)

Graph Neural Netowrks (GNNs)- Real-Life Examples of GNNs

Lecture-3 Time Series Vs Non-Time Series

Lecture-2 Types of Time Series

Lecture-1 Time Seires Analysis

The Future of AIML in real-world ‘Social Science’ and ‘Management’ Research Applications

Lecture-51 Roadmap of Mathematics for Machine Learning

My Students Presented their research articles at an International Conference

PGDM(AI & DS) Students of ASB present their Research papers

Lecture-50 ‘Model Parameters’ and ‘Hyperparameters’ in ML & DL (Theory)

Lecture-49 Classification of Cotton Leaf Diseases Using AlexNet and Machine Learning Models

Lecture-48 Boruta Feature Selection Algorithm with python

Lecture-47 Linear Discriminant Analysis (LDA) with Python

Lecture-46 Feature Selection with “Correlation” Method by Python

Lecture-45 Feature Selection with Filter Methods (Drop Const, Quasi-Const and Duplicate Features)

Lecture-44 Feature Selection In Machine Learning

Lecture-43 Principal Component Analysis (PCA) (Part-II)

Lecture-42 Dimensionality Reduction Principal Component Analysis (PCA) (Part-I)

Lecture-41 Logistic Regression -Theory (Part-II)

Lecture-40 Logistic Regression -Theory (Part-I)

Lecture-39 Multicollinearity & VIF (Variance Inflation Factor)

Lecture-38 Wine Quality Prediction Using ML (Data Sampling Methods for Imbalanced data set)

Lecture-37 Wine Quality prediction Using Machine Learning

Lecture-36 Elastic Net Regression Model Using Python

Lecture-35 Elastic Net Regression (Theory)

Lecture-34 LASSO Regression (L1-Regularization) Algorithm in python

Lecture-33 Ridge Regression with python