An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
-
Updated
May 2, 2021 - Jupyter Notebook
{{ message }}
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Machine Learning in R
A Julia machine learning framework
moDel Agnostic Language for Exploration and eXplanation
Coursera Machine Learning - Python code
Keras implementation of Representation Learning with Contrastive Predictive Coding
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Retentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python. Opensource analytics, predictive analytics over clickstream, sentiment analysis, AB tests, machine learning, and Monte Carlo Markov Chain simulations, extending Pandas, Networkx and sklearn.
PyTorch implementation of the CortexNet predictive model
Surrogate Modeling Toolbox
Contrastive Predictive Coding for Automatic Speaker Verification
Launch machine learning models into production using flask, docker etc.
An open source book to learn data science, data analysis and machine learning, suitable for all ages!
Continuously evaluated, pure-functional, time-series forecastsing methods
ANNdotNET - deep learning tool on .NET Platform.
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
Machine Learning (EE 5184) in NTU
Personal repository of data science demonstrations and references
Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks
MachineShop: R package of models and tools for machine learning
Exploratory, Inferential and Predictive data analysis. Feel free to show your
Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models
A python multi-variate time series prediction library working with sklearn
Predicts Daily NBA Games Using a Logistic Regression Model
Lectures for Introduction to Data Science for Public Policy (PPOL 670-01)
Add a description, image, and links to the predictive-modeling topic page so that developers can more easily learn about it.
To associate your repository with the predictive-modeling topic, visit your repo's landing page and select "manage topics."
assert conditionwith the patternif not condition: raise AssertionError()