viswateja3

What is Kubernetes and architecture?

What is Kubernetes: Kubernetes is an open-source tool used to manage and orchestrate the containers across the nodes/server, which helps us to build cloud-native applications released by google in 2014. All top 3 cloud providers support Kubernetes as serverless offerings. Why we should adopt Kubernetes In the world of microservices, managing the deployment and scalingContinue reading “What is Kubernetes and architecture?”

Testing

AWS Lambda from Basic to Advanced

Everyone in this video we will learn how to use AWS Lambda from very basic to advanced like What AWS Lambda is, Why AWS Lambda when to use AWS Lambda, How to use AWS Lambda as Event-driven, and many more. Below is the list of topics we covered in this video

ML Model deployment using REST API

In this video we will try to understand how to deploy a Machine Learning Model using Flask REST API python package.

REST API using Python and Flask

In this video we will try to deploy a simple REST Service using GET and POST methods using Flask python micro service package, we will use post man tool to test our API

What is REST and Web Services

In this video we will try to understand the importance of a REST Services

Hyperparameter tuning

Before going to this blog make sure you are aware about any one of the algorithms like Decision tree, Random forest.etc….Below are the few parameters that we need for most of the algorithms. Maximum number of leaves per tree Depth of trees. Number of trees in Random forest Learning rate L1 and L2 regularization weights.Continue reading “Hyperparameter tuning”

Classification with Artificial Neural Networks(Keras)

Before start reading this blog you should be clear on the below topics ANN Deep learning frameworks How to deal with Categorical data Cross validation and Parameter tuning In this tutorial we will see how to use Keras for classification problem and we will also learn how to use cross validation and Cross Validation/parameter tuningContinue reading “Classification with Artificial Neural Networks(Keras)”

Deriving Decision Tree using Entropy (ID3 approach)

We are taking below famous data which is widely used data set for explaining Decision tree algorithm. Once we build a decision tree it looks like below. Now we will see how we achieved above decision tree using Entropy and Information gain matrices. First and foremost question is, how do I chose my root nodeContinue reading “Deriving Decision Tree using Entropy (ID3 approach)”

Sampling With/Without Replacement

Sampling is the part of inferential statistics which is use to estimate the population based on the sample data and it is one of the important technique in statistics and Machine learning.In this post we will learn about sampling with replacement and without replacement. Sampling with replacement Let’s take an example we have below listContinue reading “Sampling With/Without Replacement”