Name: Manak Agarwal
Type: User
Company: University Of Windsor
Bio: Web Developer | Flutter Developer | React JS | Machine Learning | Data Science. Grad student - Master of Applied Computing, undergrad - Computer Engineering.
Location: Ontario, Canada
Manak Agarwal's Projects
I have created this webapp using streamlit which can classify whether a mushroom is poisonous or edible. Various types of alorithm selections include Logistic Regression, Random Forest Classifier, Support Vector Machine. The libraries used are Matplotlib, Pandas, Sklearn, Numpy.
The completed code for the Clima Project - The Complete Flutter Development Bootcamp
Codehax
This is an ecommerce project like amazon. It is made with React, Redux, Nodejs. All the functionalities like admin login, user login, signup, add to card, shipping, checkout functionalities are provided. More functionalities will be added soon.
Expense tracker using react, redux, hooks
Fire Ball game
Flutter makes it easy and fast to build beautiful apps for mobile and beyond.
Image Classification. Using VGG19 model for prediction. A simple Deep learning project for beginner experience. Using Flask to make web app.
Iris flower prediction is a web app made using streamlit. In this variation in the parameteres like petal length, petal width, sepal length, sepal width help to let us know whether it is a setosa, versicolor, virginica by using Random Forest Classifier for predicition.
NLP for sentiment analysis from twitter data and basic text data using basic python and also NLTK library
I have created Neural Network from scratch using only Numpy for MNIST dataset. I have used Relu, sigmoid as activation functions and Cross Entropy Loss as loss function
Nodejs login and signup boiler plate using jwt tokens, express, passport, mongoose
Here I have used libraries like Matplotlib, Numpy, Pandas, Cartopy.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent