lekhav Goto Github PK

array-1

array-2

backtracking-2

bactracking-1

bfs-1

bfs-2

binary-search-1

binary-search-2

binary-search-3

cmpe202

CMPE 202 Course Repository

competitive_coding_2

cuisine-classification

- Performed Text Data Preprocessing on the Text dataset - Lemmatization, TfidVectorizer . - Implemented the following models: Logistic Classifier, SGD Classifier, linearSVM, Neural Networks using Keras and lightgbm. - Obtained an Accuracy of 0.81.

demand-forecasting-bike-rentals

- Analyzed the trend in Bike share usage based on Weather conditions, time of day, month of year. - Models Trained: Decision Tree, Random Forest, Linear Regressor to train the dataset and learn the correlations between the data to predict the bike usage at different weather and time conditions. - Implemented One Hot Encoding and PCA. - Predicted the number of bikes that may be rented at the weather conditions for the Test data and got an RSMLE of 0.148 .

design-1

design-2

design-3

dfs-1

dfs-2

django3-personal-portfolio

learning Django Framework

dp-1

dp-2

dp-3

facerecognition-app

JavaScript, React.js, Node.js, Express.js, bcrypt, PostgreSQL

homeaway-clone

Developed a Prototype of HomeAway application using MERN stack. The main features built are property reservation, profile management with User Authentication. Implemented a Kafka Messaging Queue service. Tested the performance of the application using JMeter and Mocha.

lc-practice

neuralnetworks-deeplearning

password_generator_website

Hands-on Django Framework

people-of-starwars-

An Webpage to display information on the people of StarWars using the https://swapi.co/ API

precourse_1

precourse_2