Material for the pandas tutorial at EuroScipy 2016

A drop-in replacement for CIFAR-10.

Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).

Files for my scikit-learn tutorial at PyCon 2013

Functionalities in Excel translated to Python

A day to day plan for this challenge. Covers both theoritical and practical aspects

A Multipurpose Library for Synthetic Time Series Generation in Python

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Materials for a 2-day instructor led course on applying machine learning

✅ Solutions to MachineLearning, DeepLearning, NeuralNetwork

PDFTableExtract

An Automatic Speech Recognition Frame ，一个中文语音识别的完整框架， 提供了多个模型

ULMFit Language Modeling, Text Feature Extraction and Text Classification in Thai Language. Created as part of pyThaiNLP

Combining Psi4 and Numpy for education and development.

中文的 tensorflow tutorial with jupyter notebooks

Sorting Google Scholar search results based on the number of citations

Source files for "Lectures in Quantitative Economics" -- Python version

This repository contains materials for demos, tutorials, and talks by Dato Inc.

CME211 Notes | Outline ->

TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network