Achyut-Krishna

30-Days-Of-Python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.

Achyut-Krishna

Config files for my GitHub profile.

Achyut-Krishna.github.io

Cloud_dynamic_php_todolist

cloud_mern_timetracker

Context-Based-Emotion-Recognition

Covid-Live-Update

Covid-Web-Care_Azure

Covid_web_care

JSW_Internship

Property Prediction model using regression algorithms , this project is the part of my summer internship at JSW steel 2021 We were provided with raw data of 5135 rows and 45 columns which had to be cleaned first and later applied 5 different algorithms like KNN, Random Forest, ANN, Support Vector Regressor and Multiple Regressor to predict which gave the highest R2_score value and the least RMSE. Conclusion :- Random Forest was found to be relatively the best learner for this model and hence we deployed our machine learning model using html, css, flask.

Achyut-Krishna/JSW_Internship

Property Prediction model using regression algorithms , this project is the part of my summer internship at JSW steel 2021 We were provided with raw data of 5135 rows and 45 columns which had to be cleaned first and later applied 5 different algorithms like KNN, Random Forest, ANN, Support Vector Regressor and Multiple Regressor to predict which gave the highest R2_score value and the least RMSE. Conclusion :- Random Forest was found to be relatively the best learner for this model and hence we deployed our machine learning model using html, css, flask.

Achyut-Krishna/30-Days-Of-Python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.

Achyut-Krishna/Achyut-Krishna

Config files for my GitHub profile.

Achyut-Krishna/Achyut-Krishna.github.io

Achyut-Krishna/cloud_mern_timetracker

Achyut-Krishna/Context-Based-Emotion-Recognition

Achyut-Krishna/Covid-Live-Update

Achyut-Krishna/Covid-Web-Care_Azure

Achyut-Krishna/Covid_web_care

Achyut-Krishna/CPU-Scheduling-APP-React-Native

Achyut-Krishna/Docker

Achyut-Krishna/Docker-

Achyut-Krishna/emotion_recognition_iemocap

Achyut-Krishna/Exploratory-Data-Analysis--Retail

Achyut-Krishna/HashCode2022-1

Hash Code 2022

Achyut-Krishna/HashCode2022Qualification

Achyut-Krishna/kubeshark

The API traffic analyzer for Kubernetes providing real-time K8s protocol-level visibility, capturing and monitoring all traffic and payloads going in, out and across containers, pods, nodes and clusters. Inspired by Wireshark, purposely built for Kubernetes

Achyut-Krishna/Mini_Calculator

Achyut-Krishna/My_Ubuntu_Desktop

Achyut-Krishna/Paint-Retail-Management

A e-commerce web-based application to assists owners of paint retail stores in the sale of goods and services as well as the maintenance of an accurate record of the transmission of payments and stock data

Achyut-Krishna/Portfolio

Achyut-Krishna/Practical-2

Achyut-Krishna/Prediction-Using-Supervised-ML

Achyut-Krishna/Pug-Tutorial

Achyut-Krishna/SGP-Sem5

This is a code repository for the corresponding video tutorial. In this video, we're going to build a fully functional eCommerce application using commerce.js.

Achyut-Krishna/Speech-Emotion-Recognition-using-ML-and-DL

Speech Emotion Recognition System, abbreviated as SER System, is the act of attempting to recognize human emotion and affective states from speech. This is capitalizing on the fact that voice often reflects underlying emotion through tone and pitch. The speech emotion recognition system uses audio data. It takes a part of speech as input and then determines what emotions the speaker is speaking.

Achyut-Krishna/test

Achyut-Krishna/Unsupervised-Machine-Learning-using-K-Means-Clustering

Achyut-Krishna/VITFER

Achyut-Krishna/voice-assistant-whisper-chatgpt

This repository will guide you to create your own Smart Virtual Assistant like Google Assistant using Open AI's ChatGPT, Whisper. The entire solution is created using Python & Gradio.