JYOTIRMOY MONDAL's starred repositories
GeneticAlgorithmFeatureSelection
A simple example of how a genetic algorithm can be used to select the optimal subset of features to use for machine learning problems.
PSOFeatureSelection
A Particle Swarm Optimization (PSO) for Feature Selection. Using PySwarm.
Traffic_Sign_Classification_Keras
Traffic Sign Recognition using CNN - GTSRB data
datasciencecoursera
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
udacity-deep-learning
Udacity Deep Learning MOOC assignments
Introduction-to-Time-Series-forecasting-Python
Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.
captcha.irctc
Reading irctc captchas with 98% accuracy using deep learning
basic-blockchain-programming
Sample code from my blog series "Basic blockchain programming".
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
Data_Structure_and_Algorithms_Library
A collection of classical algorithms and data-structures implementation in C++ for coding interview and competitive programming
Songs-Recommender
Recommendation System written in Python, using the pySpark framework and other Data Science libraries
Predict-next-order-of-users
My solution to Kaggle competition ‘Instacart Market Basket Analysis’
Competitive-Coding
Competitive Coding GitHub repo showcases solutions to SPOJ, LeetCode, HackerRank, and Codeforces challenges, offering insights into coding excellence. Ideal for learners and enthusiasts, it's frequently updated and open for community contributions, fostering a collaborative learning atmosphere. Explore and excel in competitive coding!
backpropagation_explained
This is the code for "Backpropagation Explained" By Siraj Raval on Youtube
travelling-salesman-openmp
A parallelised implementation of genetic algorithms for the Travelling Salesman Problem using OpenMP
kaggle-titanic
Titanic assignment on Kaggle competition
kaggle-titanic
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
amazonaccess
Amazon Employee Access Challenge
data-science-question-answer
A repo for data science related questions and answers
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
image-matching
Image Classification and Matching Using Local Features and Homography
tensorflow-without-a-phd
A crash course in six episodes for software developers who want to become machine learning practitioners.
CppCon2018
Slides and other materials from CppCon 2018