SamarpanDas's Projects
This is my personal notes belonging to the Algorithmic Toolbox course that I am currently doing in Coursera. The solutions will be added as a solve the problems. These notes are being made public to help begineer and amateur programmers in their process of improvement of their skills. These are aboslutely high quality contents and I am sure that one who goes through these notes will surely will be able to enhance their skills. I am making the questions available too and expect readers to try to solve the problems without looking at my solutions. These materials will be updated often.
An app built that promises to enhance your mathematical calculation capabilities making you practice small mathematical calculations against a timer to check your speed.
This is a Game that can be run on Android Devices, it is similar to the popular Tic Tac Toe game.
My personal notes focusing on the Deep Learning Specialisation that I am currently doing from Coursera. These content will be updated often as and when I complete the assignments.
I have implemented a Face Recognition & Face Verification model by One Shot Learning using the Triplet Loss function
StudEaz is a browser extension to download multiple documents from a Google Classroom in a few clicks. Can be used on Google Chrome, Microsoft Edge and Mozilla Firefox.
The project analyses and visualises global terrorist attacks over the time frame of 1970 to 2019. Points out and analyses trends of over 2,00,000 terror attacks, their attackers and studies various other features
Instant Earthquake Tracker is an app that tracks and displays the intensity, location, and other information about recent earthquakes. The data is being extracted from United States Geological Survey website
Projects that I've done under the JP Morgan Chase & Co. Software Engineer Virtual Internship Programme
This is my personal notes of the famous Machine Learning by Andrew Ng. I am making this available hoping that this will be helpful for the people who are interested to know about Machine Learning and gain an in-depth idea of it.
My Resume, updated till 28th July 2020
Super Ramio is a mobile game that is developed to be played by tap from fingers. Super Ramio is light weight, easy to play and compatible with most Android phone.
My attempt at the Kaggle Titanic Problem. We all are familiar with the tragic Titanic voyage that ended with a lot of lives lost. The Titanic was a luxurious cruise that met with an accident right on its maiden voyage. In this project you are given the data set involving the details of the passengers and told if they survived or not. The training data consists of all the above details and the test data doesnβt not consists of the survived column and you are asked to predict that, convert the output in a CSV file and post it in their submission window. I have used Scikit - Learn as the machine learning library in Python for trying out various models for a higher accuracy. I have used Support Vector Machines, Random Forest Classifier and Neural Networks for modelling. Neural Networks with various architectures have been tried and I have given special attentions in tuning the hyper parameters specially the Learning Rate. Adam optimiser has been used post gradient descent. Beta 1 and Beta 2 have been kept at their usual values.
Traffic Sign Alert is a Deep Learning project where Deep Neural Networks have been used to classify, recognise and label Traffic Signs. The final model has been tested to perform at 96% accuracy for 12K testing images.
A Mobile Application that capable of displaying details of real time Temperature and Weather of places across the world.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent