Yash Agarwal's repositories
BCG_Case_Study_Ipython_NB
Data Engineer BCG Case Study
Flask-Application-ORM
Flask Login Application Using SQLAlchemy
Machine-Coding
Some Examples of Machine Coding
PlottingLocationsOnMaps
Plotting nearby locations(keyword based) on maps
Data-Science-Demo-Projects
Some Useful Data Science Projects
Backtesting-Using-Python-with-Pandas
The following resource has been made with the help of quantstart and employ two strategies for trading(Moving Average Crossover and Random Forecasting)
Python-Code-Samples
Code samples which might be useful for interview. The samples are written in python and contains code on various data structures like stacks, queues, linked list. It has various sorting and searching algorithms implemented in it.
Python_Financial_Analysis
Learning and Implementing the various measures useful in financial world
Machine-Learning_Tips_Tricks_Techniques
Tips, Tricks and Techniques in Machine Learning
Face-Recognition-Using-dlib-PIL
Face-Recognition-Using-dlib-PIL(Steps)
Django-Channels-Chat-Demo
This a chat application based on django channels
Image-Denoising-Using-Keras
One of the major application of Autoencoder is image denoising.
Variational-Autoencoder-on-MNIST-dataset
Variational Autoencoder Using Keras on MNIST Images
cs231n_Assignment1_Solution_By_Yash
This repository contains the solution proposed by me for the famous cs231n Stanford Assignment-1. It contains various machine learning techniques like kNN(k-Nearest Neighbor), SVM(Support Vector Machine) precisely Support Vector Classifier, Softmax classifier and Two layer neural network.
Image-Augmentation-using-Keras-and-its-visualization
Data augmentation is one of the most useful task to be done when we have little or less amount of data for training our network. Thus i present ways to do increase your dataset size by applying the concept of data augmentation using keras. Techniques covered under this experiment are Rotation, Zooming, Flipping vertically and horizontally, shifting images horizontally and vertically, ZCA whitening and feature standardization. This experiment includes visualization of the dataset after applying various augmentation techniques for better understanding of what these techniques actually do.
openopc
OpenOPC for Python3.4 released on PyPI