Balaji D's Projects
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).
The Leek group guide to data sharing
Software Engineering project for helping faculty to manage courses.
Students view for Digital-course-file-system
Here this is a simple python program where i have used opencv to detect face and eyes.
My portfolio
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.
Join the GitHub Graduation Yearbook and "walk the stage" on June 11.
Slack 2020 hackathon Submission.
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 ā to support this project! āØ
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 is a biometric authentication system with both Email and Facial Recognition. Done as part of the Biometrics course final project.
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.
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 in Every Programming Language
Here just an add on part for the face recognition