Sumit Singh's repositories
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
property-finder
A turnkey solution for a fictitious real estate business
WQU-Projects
Projects are developed for implementing the knowledge gained in the courses studied at World Quant University and meeting the requirement of clearing the courses.
financial-machine-learning
A curated list of practical financial machine learning (FinML) tools and applications in Python.
minkowski_center
Calculating Minkowski center of given n data points
hierarchical_clustering
Implementation of Ward -p Beta Algorithm in R
opencv-haar-classifier-training
Learn how to train your own OpenCV Haar classifier
R-Basics
Basics of R syntaxes
Rbasics
Basics data frame codes
Trendfollowing-Sample-Strategy
Sample Trading Algorithm using a Simple Moving Average (SMA) to predict price trends
deepframeworks
Evaluation of Deep Learning Frameworks
dejavu
Audio fingerprinting and recognition in Python
vehicle_detection_haarcascades
Vehicle Detection by Haar Cascades with OpenCV
mergevec
Program used to merge .vec files for use in openCV's opencv_traincascade