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algorithmic-toolbox-course

Python scripts for algorithmic development

bloomberg-foundations-of-ml

complete-linear-algebra-course

dcai-lab

Data-centric AI course labs

dev-gpt

Implementing GPT models from scratch.

dlpipeline

Practical Deep Learning for Genomic Prediction: A Keras based guide to implement deep learning

ethereum-simulations

Simulated Financial Market on Ethereum Blockchain

fp-course

Functional Programming Course

ide-best-practices

Best practices for working with Databricks from an IDE

introduction-to-statistics

My OAF Analyst Mentorship Program - designed to rapidly improve analyst skillsets

mathematics-for-machine-learning-cousera

quizzes/assignments for mathematics for machine learning specialization on coursera

mlcourse

Machine learning course materials.

molecular-atomisation-prediction

This repository contains neural network model to predict molecular atomization energies of small molecules

neural-networks-deep-learning

This repository contains python scripts that implement various neural networks for classification of the MNIST data set. The scripts implement solutions to problems set out in the "Neural Networks and Deep Learning" ebook by Michael Nielsen. The book can be found here: http://neuralnetworksanddeeplearning.com/index.html.

neural_network_specialisation_datacamp

notebooks

collection of iPython notebooks

oct-converter

Extract the raw optical coherence tomography (OCT) and fundus data from proprietary file formats.

oct-viewer

A simple viewer for Optical Coherence Tomography (OCT) volumes

qsar-models

Models developed to predict quantitative structure-activity relationships (QSAR) for artemisinin analogues, targeting malaria proteins.

rdkit-tutorials

Tutorials to learn how to work with the RDKit

solar-energy-prediction

Clustering models for prediction of energy consumption of solar-powered house holds in India

splunk-scripts

Collection of Python scripts for analysis of prediction models in Splunk.