balajidass07 Goto Github PK

alumni-frontend

balajidass07

balajidass07.github.io

car-rental-system

covid-19-data-analysis

in this project i have done data analyzing on the covid 19 datasets, i have shown the difference between matplotlib,pandas,plotly and plotly express and made different visualisations and also i showed on how to use folium in jupyter notebook. I made detailed description about different plottings in python (Data visualisation).

datasciencecourse

datasharing

The Leek group guide to data sharing

dcfshome

digital-course-file

Software Engineering project for helping faculty to manage courses.

digital-course-file-students-view

Students view for Digital-course-file-system

face_recognition

Here this is a simple python program where i have used opencv to detect face and eyes.

facial-recognition-in-flask

full-stack-react_and_django-ecommercesite

gan-s-introduction

ganapathi12

My portfolio

gans

Here there a PPT which explains completely about GANs and the complete math of it.This is done by me and my teammate Ganapathi Subramanyam .We both are working together for writing a research paper on SteganoGAN's.

githubgraduation-2022

Join the GitHub Graduation Yearbook and "walk the stage" on June 11.

graph-representation-and-traversals

gta-v-python-automation

Slack 2020 hackathon Submission.

hacktoberfest2020

hacktoberfest2020-contributions

A beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Hello World Programs and Algorithms! Please leave a star ⭐ to support this project! ✨

iris-flower-detection

this model is based on iris flower detection which takes input of flower's sepal length and width, petal length and width and predicts which type of iris flower amoung the three different types of iris flowers, this model is trained with datasets from sklearn.datasets

look2login

Look2Login is a biometric authentication system with both Email and Facial Recognition. Done as part of the Biometrics course final project.

mongodb-basics-skeleton

predicting-reviews-using-nlp

i have used datasets corresponding to the restaurents reviews to train this model and with the help of nltk i have imported stopwords and PorterStemmer and obtained corpus of my words and trained my model using the datasets and classified them as positive or negative.

react-native-6-tictactoe

reactprojects-roleurcareerwebsite

restaurent-review-prediction

In this project, I have build a ML model using NLTK package for predicting restaurant review is positive. or not. Here i have used a restaurant review dataset which contains 1000 review. There are three basic steps for this project, 1.cleaning the text 2.creating bag of words 3.ML model using classifier. Also here i have used 5 classification model :1.GaussenNB 2.Decision tree 3.Random Forest 4.KNN 5.Kernal SVM. Finally I have evaluated all models by Accuracy, Precision, Recall and F1 Score.

sample-programs

Sample Programs in Every Programming Language

smile_detection_opencv

Here just an add on part for the face recognition