Mayur Dangar's Projects
Battleship game based on OOP
Bike sharing systems are new generation of traditional bike rentals where whole process from membership, rental and return back has become automatic. Through these systems, user is able to easily rent a bike from a particular position and return back at another position. Currently, there are about over 500 bike-sharing programs around the world which is composed of over 500 thousands bicycles. Today, there exists great interest in these systems due to their important role in traffic, environmental and health issues. Apart from interesting real world applications of bike sharing systems, the characteristics of data being generated by these systems make them attractive for the research. Opposed to other transport services such as bus or subway, the duration of travel, departure and arrival position is explicitly recorded in these systems. This feature turns bike sharing system into a virtual sensor network that can be used for sensing mobility in the city. Hence, it is expected that most of important events in the city could be detected via monitoring these data.
Predict how much the customer is going to spend money on next Black Friday by analyzing Black Friday's purchase history.
Contains all of the queries used within the Complete Guide to Elasticsearch course.
The Leek group guide to data sharing
Deep Learning Specialization by Andrew Ng on Coursera.
Deep Learning framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
the Dog Breed Classifier based on CNN, which can identify the breed of the dog if the dog is detected in the image and also can detect the human face if it is there in the image.
Only four charts for testing
Config files for my GitHub profile.
Twitter sentiment analysis using Python, Elasticsearch, and Kibana!
Non official project based on original /r/Deepfakes thread. Many thanks to him!
An complete Flask application template, with useful plugins.
DCGAN :- Deep Convolutional Generative Adversial Network to generate celeb faces
Part I: Notebooks & Code "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
just another repository
š¤ Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Submission of a Data science IBM Professional Capstone
Code for Kaggle Competitions
Includes script for Kaggle Competition - Give Me Some Credit
It will recommend you songs saved in your local files.
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
This Data Science case study is based on the real-life project given by Bertelsmann/Arvato Financial Services located in Germany and Udacity as a capstone project of a Data Science Nano Degree. This project is also about Unsupervised learning and customer segmentation.