JYOTIRMOY MONDAL's repositories

google-interview-university

A complete daily plan for studying to become a Google software engineer.

License:CC-BY-SA-4.0Stargazers:2Issues:0Issues:0
Language:C++Stargazers:1Issues:0Issues:0

image-matching

Image Classification and Matching Using Local Features and Homography

Language:PythonLicense:MITStargazers:1Issues:0Issues:0

algo-on-graphs

Algorithms in Graph Theory written in Java, C++, and Python

Stargazers:0Issues:0Issues:0

Ard-Class

My Arduino Classes

Language:C++Stargazers:0Issues:0Issues:0

arduino-LoRa

An Arduino library for sending and receiving data using LoRa radios.

Language:C++License:MITStargazers:0Issues:0Issues:0

computer_vision

Some computer vision tutorials for my articles

Language:PythonStargazers:0Issues:0Issues:0

data-mining

Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course

Stargazers:0Issues:0Issues:0

data-science

my data science issues

Stargazers:0Issues:0Issues:0

Deep-Learning-Apps-Using-Python

Source Code for 'Deep Learning with Applications Using Python' by Navin Kumar Manaswi

License:NOASSERTIONStargazers:0Issues:0Issues:0

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

License:MITStargazers:0Issues:0Issues:0

Genetic-Algorithm-Self-Study-Notes

Notes, Reading Sources and Bibliography on Genetic Algorithms

Stargazers:0Issues:0Issues:0

GermanWordEmbeddings

Toolkit to obtain and preprocess german corpora, train models via gensim's word2vec and evaluate them with generated testsets

License:MITStargazers:0Issues:0Issues:0

GPU_Acceleration_Using_CUDA_C_CPP

Programming accelerated applications with CUDA C/C++, enough to be able to begin work accelerating your own CPU-only applications for performance gains, and for moving into novel computational territory.

Stargazers:0Issues:0Issues:0

greedyFeatureSelection

greedy feature selection based on ROC AUC

Stargazers:0Issues:0Issues:0

IntroToDataScience

GitHub Repository to accompany my YouTube series of videos on Introductory Data Science using R.

Language:RStargazers:0Issues:0Issues:0

kaggle-amazon-employee-access

Kaggle Submission for "Amazon.com - Employee Access Challenge" -- Predicting an Amazon.com Employee's Security Access Needs Using Machine Learning

Stargazers:0Issues:0Issues:0

kaggle-malware

Kaggle 'Microsoft Malware Classification Challenge' 3rd place solution

Stargazers:0Issues:0Issues:0
Language:C++License:GPL-2.0Stargazers:0Issues:0Issues:0
Language:CLicense:GPL-3.0Stargazers:0Issues:0Issues:0

Predict-next-order-of-users

My solution to Kaggle competition ‘Instacart Market Basket Analysis’

Language:PythonStargazers:0Issues:0Issues:0

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

problem-solving

Problem solving book

Stargazers:0Issues:0Issues:0

titanic

udacity optional project

Language:HTMLStargazers:0Issues:0Issues:0