Prateek Smith Patra's Projects
This is a self paced workshop to get started on Amazon Connect and Amazon Lex to build a simple customer contact call center and chat bot.
Automated Deployment of Web Application’s Using AWS LightSail & HAPROXY Load Balancer
This repository contains best profile readme's for your reference.
AWS Training and Certification of Prateek Smith Patra
Created blockchain with this features - Simple proof-of-work algorithm | Verify blockchain (to prevent tampering) | Generate wallet (private/public key) | Sign transactions
A block-chain application developed for real mining application by prateek smith patra
Build, Train & Deploy BankApplication using XGBoost Model in AWS Sagemaker
Cat & Dog Classification Deployment - Using CV
Classify the image is of a cat or dog using CNN Application
Based on the train dataset, you will need to develop a model that accurately predicts the real estate price in Chennai.
Image classification is the process of segmenting images into different categories based on their features. A feature could be the edges in an image, the pixel intensity, the change in pixel values, and many more
Find solutions for the Cognizant Early Engagement Program [ Continuous Skill Development ].
Solutions for the Cognizant Early Engagement learning platform.
Covid-19-chest-x_rays-images-multi-class-classification-computer-vision
More than 2000+ Data engineer interview questions.
What is Data Exploration? Data exploration definition: Data exploration refers to the initial step in data analysis in which data analysts use data visualization and statistical techniques to describe dataset characterizations, such as size, quantity, and accuracy, in order to better understand the nature of the data. Data exploration techniques include both manual analysis and automated data exploration software solutions that visually explore and identify relationships between different data variables, the structure of the dataset, the presence of outliers, and the distribution of data values in order to reveal patterns and points of interest, enabling data analysts to gain greater insight into the raw data. Data is often gathered in large, unstructured volumes from various sources and data analysts must first understand and develop a comprehensive view of the data before extracting relevant data for further analysis, such as univariate, bivariate, multivariate, and principal components analysis.
Resources for futureXskill
This repository consists of the code samples, assignments, and notes for the DevOps bootcamp of Community Classroom.
In this project, the objective is to predict whether the person has Diabetes or not based on various features like Number of Pregnancies, Insulin Level, Age, BMI.
DSA Using Python Code
Face Emotion Detection Using CNN & OpenCV
Face Emotion Recognition using CNN & OpenCV
Facial emotion recognition is the process of detecting human emotions from facial expressions. IMAGE PREPROCESSING USING SKIMAGE AND OPENCV : In this first part of the project we will be using SKimage, OpenCV and Matplotlib to get some insight about the data and preprocess it for further modeling.
Fake News Classifier Using (LSTM & Bidirectional LSTM)
Application that detects a news is fake or not
Fake_News_Detection_using_Multinomial_Naive_Bayes_Classifier
MNIST database (Modified National Institute of Standards and Technology database) is a large database of handwritten digits & Images for classification that is commonly used for training various image processing systems
Repo containing all project files for my Fetal Health Classification Project. This project aims to predict the health condition of fetal babies being normal, suspect, or pathological (potential for having a disease or some unhealthy condition).