sornav,Sornav,github

30-nearest-neighbors-mnist-784-dataset

In this project,I applied the Kth Nearest Neighbor Algorithm on the "mnist_784" data set with 30 different values of K

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

credit-card-fraud-detection

Built a Credit Card Fraud Detection system using Logistic Regression and Random Forest Classifier

customer-sgementation-using-k-means

Customer Segmentation using K-Means Clustering on the mall customer data set which I got from Kaggle,visualized and analyzed my data by using Plotly and used the SK learn K-Means Library as well my own implemented K-Means Function to Cluster the Customer into K groups.The number of groups was found out by using the classic elbow method.

driver-drowsiness-detector-using-keras-opencv

A Deep Learning model which uses the Convolutional Neural Network algorithm to detect whether the driver in a vehicle is drowsy or not,performed data augmentation on the training set and trained the model using CNN under different lightning conditions and used openCv along with Haar Cascade Classiﬁer to detect the movements of the eye lids.

gradient-descent-scratch-lr-

Here I have implemented the Linear Regression Algorithm from scratch,for minimizing the Cost Function I have used Gradient Descent Technique,using Gradient Descent I found out the best values of the parameters for which the cost function is minimized,by fitting these parameters in our equation of line,we get the best fit line.The Mean Squared Error is only 7.0 which is excellent

hand-written-digit-classification-on-load_digit

Hand Written digit recognition on Load_digit data set by using Kth Nearest Neighbor Algorithm with implementation from scratch and plots.I made this project to learn how to implement Kth Nearest Neighbor from scratch without using Sklearn. First I built my own KNN function and classified my data,then I used the Sklearn library to classify the data and then compared my predictions with the results predicted by Sklearn and also visualized the comparison graph ,also implemented the Train_Test_Split function from scratch.

java-dsa-questions

This Repository contains a collection of pretty good compiled algorithmic questions,which are good for a quick revision.The codes are written in Java,I keep on adding new questions everyday as I practice them.

linear-regression-scratch-using-lsm-

Implemented the Linear Regression model from scratch,without using any advanced library functions,this was specifically done by me,so as to the compare its Mean Squared Error with the earlier Linear Regression model which I did using Gradient Descent

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.

nasdaq-stock-market-clustering

NASDAQ Stock Marketing Clustering using K-Means Clustering

pokedex-react-js

Pokedex Web app

santa-or-not_santa

A Convolutional Neural Network Model that uses Transfer Learning to Classify whether the Image given as input is Santa's Image or Not.

spam-detection-using-naive-bayes

SMS Spam Detection using Multinomial Naive Bayes Classifier

text-to-handwriting

So your teacher asked you to upload written assignments? Hate writing assigments? This tool will help you convert your text to handwriting xD

tic-tac-toe-winner-classifier-

Tic-Tac-Toe Winner classifier using Decision Trees and Random Forest on the Tic Tac End game data set

vivid-call

A real time,light weight,fast and free video calling application for Android devices,I am working on this project to get familiar with the Android environment.

wine-quality-classifier

Wine Quality Classification using Random Forest Classifiers and K-Folds Cross Validation along with Artificial Neural Network on the wine-red data set.

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