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anomaly-detection-lstm-autoencoder

Goal of this project is to build and train a Long Short Term Memory based Autoencoder model to detect anomalies (i.e. sudden price changes) in the S&P 500 index data.This is implemented using Keras API with Tensorflow 2.0 as backend

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

customer-lifetime-value-modeling

data-science-template

A starter template for Equinor data science / data engineering projects

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

disease-named-entity-recognition

This repository includes NER engine to extract disease names from unstructured text using Keras and tensorflow backend

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fastestimator

Deep Learning Fast & Easy

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

heart-disease-presence-prediction

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

kaggle-house-prices-advanced-regression-techniques

This repository includes jupyter notebooks for EDA, feature engineering and modelling to predict housing prices in Ames, Iowa

leetcode-solutions

A compilation of all the Leetcode solutions.

library

📚 Collection of various guides, books and papers.

loan-prediction

Predict which loans will be foreclosed on.

named-entity-recognition

predicting-customer-churn-for-ride-sharing-company

Goal of this case study is to predict rider churn for a ride sharing company in San Francisco and identify the factors that influence churn rate

prompty

Prompty makes it easy to create, manage, debug, and evaluate LLM prompts for your AI applications. Prompty is an asset class and format for LLM prompts designed to enhance observability, understandability, and portability for developers.

python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

rtutorials

A set of tutorials for using R in various ways: for coding and statistics

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

statsthinking21-python

Python companion for Statistical Thinking in the 21st Century

synthea

Synthetic Patient Population Simulator

thinkstats2

Text and supporting code for Think Stats, 2nd Edition