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Name: pepaczz
Type: User
Name: pepaczz
Type: User
This tutorial shows users how to evaluate advertising response using last click attribution, experiments, marketing mix models and attribution models. By applying these methods to the same (synthetic) data set, users will learn how the methods compare. We also illustrate the data manipulation that is required to prepare typical raw advertising data for analysis. Examples are worked in R and slides are provided in LaTeX.
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
Cifar10 / Cifar100 estimation with web API to input own images for prediction
Public repository for course materials for the Data Science at Scale Specialization at Coursera
Coursera's Data Science Toolbox repository
An extension to the Deepdream notebook from Tensorflow tutorials.
Plotting Assignment 1 for Exploratory Data Analysis
A project written in Python to get old tweets, it bypass some limitations of Twitter Official API.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Provide install instructions for using Tensorflow and Keras using CUDA 9 and cuDNN 7 with GPU enabled, for Windows 10.
IPython in-depth Tutorial, first presented at PyCon 2012
Several scripts and notebook related to the Titanic competition on Kaggle
coursera large scale data course - assignment 2
:computer: Make machines learn so that you don't have to program them; The ultimate list
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
A collection of machine learning examples and tutorials.
merge_conflict_test
Code that might be useful to others for learning/demonstration purposes.
Models and examples built with TensorFlow
Content from Coursera's ADVANCED MACHINE LEARNING Specialization (Deep Learning, Bayesian Methods, Natural Language Processing, Reinforcement Learning, Computer Vision).
This is the code for "Generating Pokemon with a Generative Adversarial Network" by Siraj Raval on Youtube
Showcase portfolio
StarCraft II - pysc2 Deep Reinforcement Learning Examples
sp500 volume prediction
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
Computation using data flow graphs for scalable machine learning
Code and examples for Initialized's Introduction to Tensorflow Tutorial
TensorFlow Tutorials with YouTube Videos
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.