Git Product home page Git Product logo

predictionengineer's Projects

dat18nyc icon dat18nyc

General Assembly repo for Data Science 18

dat8 icon dat8

General Assembly's 2015 Data Science course in Washington, DC

data-science-1 icon data-science-1

Collection of useful data science topics along with articles, videos, and code

datasets icon datasets

case study datasets - Data Envelopment Analysis

datasets-1 icon datasets-1

Machine learning datasets used in tutorials on MachineLearningMastery.com

deepai icon deepai

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

doepy icon doepy

Design of Experiment Generator. Read the docs at: https://doepy.readthedocs.io/en/latest/

eiten icon eiten

Statistical and Algorithmic Investing Strategies for Everyone

empyrial icon empyrial

Portfolio Management Framework for risk and performance analysis 投资组合管理

energy-demand-forecasting icon energy-demand-forecasting

Projecting a society’s long-term electricity demand helps determine what capacity is needed for future energy generation. Accurate forecasts of electricity demand inform investment decisions about power generation and supporting network infrastructure. Of major interest to energy policymakers, power utilities, and private investors alike, forecasts

energytics icon energytics

Visualizations and predictions on energy generation and consumption 💡⚡

equity-valuation-model icon equity-valuation-model

This File provides a framework for valuation of equities. It includes financial statements, calculation of key ratios, WACC, Bond list, Competitive Summary, Forecasts, and Valuation. Forecast assumptions can be adjusted as needed.

erpnext icon erpnext

World's best free and open source ERP.

eth_py150_open icon eth_py150_open

A redistributable subset of the ETH Py150 corpus [https://www.sri.inf.ethz.ch/py150], introduced in the ICML 2020 paper 'Learning and Evaluating Contextual Embedding of Source Code' [https://proceedings.icml.cc/static/paper_files/icml/2020/5401-Paper.pdf].

experiments icon experiments

Code and notebooks containing my experiments in data science, EDA, visualization, and machine learning

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.