avand56 Goto Github PK

applied-deep-learning-with-keras

Deep Learning examples with Keras.

avand56.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

bankloan-default-classifier

Random forest and boosted weak learner using XGBoost to predict whether a bank customer taking out a loan will default on that loan or not.

bluejays_pitchpredictions

calabogie-geophysical-survey

A report on a geophysical survey carried out in the Calabogie, Ontario area. Seismic reflection and refraction, Res/IP, magnetics, EM methods, passive seismic methods were carried out over two days to identify mineralization in the subsurface, then the data was processed, used to create a subsurface model, and interpreted.

chd_classifier

Neural networks and logistic regression to predictwhether a patient went on to develop Coronary Heart Disease (CHD) or not.

classifiers

This repository contains different classifiers that have been written to predict positive and negative outcomes from training data. More classifiers will be added in the future.

coming-soon

a simple coming soon page using React

data-challenge

dcf_model

discount-cash-flow_with-monte-carlo-and-web-scraping

DCF model. data scraping from Yahoo Finance.

dispersion-curve-gan-and-image-segmentation-cnn

Project files and code used for research in generating dispersion curve data using a GAN, then using the generated GAN data to train an image segmentation CNN

earthquake-clustering-algorithms-and-other-cluster-algos

This repository is the clustering algorithms i have completed or am working on, including algorithms for analyzing earthquake data.

etl_process

euler-s-method-for-spring

Solving an ODE using Euler's method

finite-difference-scheme-laplace-equation

A finite difference scheme to numerically solve Laplace's equation for the electric potential in cartesian coordinates. Using the Jacobi method. Created in MATLAB.

gorkha-nepal-earthquake-amplification-signal-processing

This document contains the report generated for the Gorkha, Nepal ground motion statistics. The MATLAB code used to process the raw time series data is included.

house-price-predictions

This repository contains a rental price predictor as a function of number of bedrooms created in Excel using MLS data for Toronto. A pivot table was created and a linear and second order polynomial was fit to the data.

housesig

investor_relation_scrapper

linear-regression-techniques

Jupyter notebook that has functions to compute least squares regression with and without SKlearn, and LAD regression.

neural-networks

Contains colvolutional and artificial neural networks (CNN and ANN, respectively) created for research, coursework, and practice. Some of these will be a work in progress or were build as demonstrations for the research group and contain mainly commentary.

numerical-integration

Gaussian quadrature, Simpson's method and trapezoidal method's for numerical integration.

ramp_question

seismic_ai

Library to automate and build seismic interpretation and exploration ML models

simple-dcf

A simple DCF to evaluate equities.

songrmg

Rupture Model Generator (RMG), based on 1-point and 2-point statistics of earthquake source parameters

sql-query

srf_file

stock-data_lstm-rnn

LSTM and GRU Recurrent Neural Networks to compute stock prices based on historical daily market high data.