31 results found Sort:

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Created 2015-06-14
220 commits to master branch, last one about a year ago
156
1.7k
other
47
A Julia machine learning framework
Created 2018-08-01
2,609 commits to dev branch, last one 17 hours ago
Coursera Machine Learning - Python code
Created 2015-12-15
49 commits to master branch, last one 5 years ago
Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python....
Created 2019-07-02
6 commits to master branch, last one 6 months ago
110
664
mit
36
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Created 2018-07-10
444 commits to master branch, last one 2 years ago
196
635
bsd-3-clause
29
Surrogate Modeling Toolbox
Created 2016-11-08
1,489 commits to master branch, last one 15 days ago
Predict time-series with one line of code.
Created 2021-01-04
1,386 commits to main branch, last one about a year ago
48
231
unknown
11
Analytics & Machine Learning R Sidekick
Created 2018-07-18
1,799 commits to main branch, last one 2 days ago
112
217
cc-by-sa-4.0
24
An open source book to learn data science, data analysis and machine learning, suitable for all ages!
Created 2016-08-02
380 commits to master branch, last one 4 years ago
28
184
unknown
9
[ICCV 2023 Oral] Game-theoretic modeling and learning of Transformer-based interactive prediction and planning
Created 2023-03-06
32 commits to main branch, last one 3 months ago
SF Brigade's Data Science Working Group.
Created 2016-02-02
207 commits to master branch, last one 4 years ago
Code for the CUP Elements on text analysis in Python for social scientists
Created 2020-10-14
8 commits to main branch, last one about a year ago
36
125
other
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ANNdotNET - deep learning tool on .NET Platform.
Created 2018-03-21
414 commits to master branch, last one 2 months ago
Predicts Daily NBA Games Using a Logistic Regression Model
Created 2019-08-01
85 commits to master branch, last one 2 years ago
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 Selec...
Created 2018-09-05
55 commits to master branch, last one about a year ago
29
106
unknown
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Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models
Created 2017-06-26
632 commits to master branch, last one 2 days ago
Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.
Created 2022-08-10
10 commits to main branch, last one 6 months ago
Exploratory, Inferential and Predictive data analysis. Feel free to show your :heart: by giving a star :star:
Created 2016-07-01
760 commits to master branch, last one 12 months ago
Personal repository of data science demonstrations and references
Created 2019-02-22
85 commits to master branch, last one 4 years ago
11
68
other
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Website sources for Applied Machine Learning for Tabular Data
Created 2023-11-20
53 commits to main branch, last one 2 days ago
MachineShop: R package of models and tools for machine learning
Created 2018-09-25
1,387 commits to master branch, last one 8 months ago
The Google Advanced Data Analytics Certificate contains information on how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data, and prepa...
Created 2023-06-01
44 commits to main branch, last one 10 months ago
[CoRL 2020] Learning 3D Dynamic Scene Representations for Robot Manipulation
Created 2020-10-10
13 commits to main branch, last one about a year ago
Prediction of Solar Power Generated by a power plant using artificial neural networks
Created 2020-10-11
21 commits to main branch, last one 2 years ago
This repository provides the code examples for the corresponding blog posts. In case you have questions, feel free to contact me directly.
Created 2019-02-13
17 commits to master branch, last one 3 years ago
This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting”
Created 2022-10-26
8 commits to main branch, last one about a year ago
A framework for building predictive modeling applications
Created 2022-01-31
10 commits to main branch, last one 2 years ago