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ai_project

cecl-modelling-implementation

Forecasted the Expected Credit Loss, over the lifetime of the mortgage. Built Loan-level PD Model using Markov Chain Transition Matrix and logistic regression with six transition states and validated them using backtesting.

cecl-presentation

CECL Presentation - PD and LGD Models

coronavirus_tracker

simple corona virus tracking application

covid-19

Novel Coronavirus 2019 time series data on cases

covid19_live_update

Simple app that keep tracking of covid19 stats on live..

covid19_stats_analyzing

Analyzing covid-19 stats on top most countries affected by covid-19 pandemic across the globe..including 6 countries with confirmed cases, deaths and recovered cases and more...

credit-scoring-model

Credit scoring machine learning algorithm which predicts probability of default

credit_risk-modelling

data-science--cheat-sheet

Cheat Sheets

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

flappy-bird-genetic-algorithm-

An implementation of genetic algorithm on the flappy bird game.

flappy_birds_genetic_evol

Simulation of Flappy Birds game using a simple neural network and genetic evolution strategy

fruit-images-dataset

Fruits-360: A dataset of images containing fruits

gpflappybird

Flappy Bird AI using Cartesian Genetic Programming (Evolutionary Computation)

hw02

hw03

kaavish-template

kohonen-maps

Implementation of SOM and GSOM

lstm_rnn_tutorials_with_demo

LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow

model-calculation

Model calculation with macroeconomic influence - estimate of debtor's probability of going default

p2ploandata_analysisandrecommendations

We analyse unsecured peer to peer lending data with credit history, financial, historical and loan request application information at Lending Club, to study patterns characterizing borrower behaviour on the platform following the data science process. We specifically focus our attention on credit risk and identifying the key drivers behind the default of a loan. Subsequently, we build a model to inspect the most important factors using classification algorithms and dimensionality reduction techniques

probability

Probabilistic reasoning and statistical analysis in TensorFlow

project-1

XYZ

pykov

Pykov is a Python module on finite regular Markov chains.

rupam-s-thesis

Leveraging Deep Learning Solutions for Predictive Maintenance of Batteries in Industrial Datasets

sample-battery

Predicting total battery cycle life time with machine learning

sample-soc

Various machine learning algorithms have been used to estimate state-of-charge (SOC) of calendar-aged lithium-ion pouch cells. Calendar life data was generated by applying galvanostatic charge/discharge cycle loads at different storage temperature (35°C and 60°C) and conditions (fully-discharged and fully-charged). The data was obtained at various C-rates for duration of 10 months at one-month intervals. The wininng model, Random Forest (RF), has achieved a R2 score of 99.98% and a mean absolute error (MAE) of 0.14% over test data, confirming the ability of RF to capture input-output dependency. The model will be employed to estimate the SOC of calendar-aged lithium-ion batteries which is essential for the reliable operation of electic vehicles (EVs).

transitionmatrix

Statistical analysis and visualization of state transition phenomena