Discover @pritambasu Open Source projects

Pritam Basu (@pritambasu)

pritambasu

Stars
43
Global Rank 379,383 (Top 14 %)
Followers 5
Following 3
Registered almost 7 years ago
Most used languages

Jupyter Notebook
73.7 %

JavaScript
5.3 %

HTML
5.3 %

ShaderLab 5.3 %

Python
5.3 %

C#
5.3 %
Location 🇮🇳 India
Country Total Rank 13,809
Country Ranking

ShaderLab 151

C#
355

Jupyter Notebook
2,542

HTML
6,299

WIPRO-Dotnet

MBTI-Test

This is a questionnaire of 70 questions which will decide your personality

HillCipherImageEncryption

Jupyter Notebook

Classification-of-a-Fake-or-Real-News

Dynamic RNN and LSTM using Tensorflow.

Jupyter Notebook

Hands_0n_deep_Learning

Jupyter Notebook

Arnold-Cat-MAP-OR-Arnold-Scrambling

Jupyter Notebook

SVM

Tic-Tac-Toe-in-Augmented-Reality

Multi_layer-perceptron-Using-Tensorflow

Jupyter Notebook

Clustering-On-Movie-Lens-Dataset

Jupyter Notebook

IMAGE-BITSLICING

Bitslicing an image into binary bitplanes

Jupyter Notebook

SnakeGame

Classic snake game implemented using pygame and Reinforcement learning

GameDev

This is an Augmented Reality game of Donald Trump Dancing on an Image target. Done using Unity 3D and Vuforia

Clustering

Jupyter Notebook

House-Price-Classification

Jupyter Notebook

Logistic-Regression

Logistic Regression of IRIS Dataset

Jupyter Notebook

multimodal-system

This is a web application which gives you option to select which mode of travel you want to use between two cities. It gives the optimum path as well as other paths between the source and destination cities. Also it provides path in which different modes arecombined.

Invisibility-Cloak

This is a program to make an invisibility cloak using opencv.

Jupyter Notebook

Chaotic-Encryption-and-Decryption

This code is done in python and visualized in jupyter notebook. the code uses Open CV, PIL and Numpy libraries to perfor a lossless chaotic encryption

Jupyter Notebook

Decision-Tree

The core algorithm for building decision trees called ID3 by J. R. Quinlan which employs a top-down, greedy search through the space of possible branches with no backtracking. ID3 uses Entropy and Information Gain to construct a decision tree. In this session we are going to use the pima Indians dataset which classifies whether a person has diabetes or not using a binary classifier.

Jupyter Notebook

XG-Boost

XGBoost is well known to provide better solutions than other machine learning algorithms. Boosting is a sequential technique which works on the principle of an ensemble. Here Decistion Tree and XgBoost is compared in IRIS data

Jupyter Notebook