anandhota Goto Github PK
Type: User
anandhota's Projects
covid-19-tracking-app-microsoft-student-partner-workshop-learning-materials-e03
This repository contains all codes and materials of the current session. It contains the required code on Android and Covid 19 App
knn-algo-for-30-nearest-neighbors
I have done this project using 'mnist_784' dataset for 30 Nearest Neighbors following KNN algorithm using sklearn library
microsoft-student-partner-workshop-learning-materials-ai-nlp
This repository contains all codes and materials of the current session. It contains the required code on Natural Language Processing, Artificial intelligence.
music-player-app-using-front-end
Here i designed a Music Player app using HTML & CSS. In this I have taken 5 images & 5 mp3 songs as input. It is a short project which i had made during my learning phase of HTML , CSS & Javascript. On clicking 'once' the songs plays and on 'double click' it stops playing.
traffic-sign-classification-using-deep-learning-in-python-keras
In this project, Firstly i have performed image normalization and convert from color-scaled to gray-scaled images, then I have build Convolutional Neural Network using Keras with Tensorflow 2.0 as a backend. Assess the performance of trained CNN and ensure its generalization using various KPIs. Lastly, i have improved network performance using regularization techniques such as dropout
web-scraping-data-analysis-using-selenium-and-python
Web scraping has been used to extract data from websites. Here i have used chromedriver and taken input from indeed.com to mainly analyze job title, location and company and have used 5 datasets comparing various factors such as Location,company,job title,salary,Description.Lastly Text Processing is done and data is analyzed for various comapnies using bar plots and pie charts importing matplotlib library.
wine-data-classification-using-deep-learning-python
I have used red & white wine quality datasets here. Firstly, I have concatenated both the datasets and merged them,then i have split and shuffled the data and apply StandardScaler. Then i have built Deep Learning model using tensorflow 2.0 as backend.
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