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Search results for predictive modeling
predictive-modeling
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121 search results found
Islr Python
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3,742
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Mlj.jl
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1,690
A Julia machine learning framework
Mlr
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1,609
Machine Learning in R
Dalex
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1,242
moDel Agnostic Language for Exploration and eXplanation
Coursera Machine Learning
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801
Coursera Machine Learning - Python code
Retentioneering Tools
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715
Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.
Smt
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627
Surrogate Modeling Toolbox
Dataexplorer
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486
Automate Data Exploration and Treatment
Openchem
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450
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Timemachines
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368
Predict time-series with one line of code.
Pytorch Cortexnet
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361
PyTorch implementation of the CortexNet predictive model
Contrastive Predictive Coding
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269
Keras implementation of Representation Learning with Contrastive Predictive Coding
Stock Predictor
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250
Listens for Stock news on Twitter, performs sentiment analysis by mining information from an online news source, performs supervised predictive modeling and suggests buy or sell decisions of the stock. Computes portfolio returns over time.
Machine Learning Deployment
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208
Launch machine learning models into production using flask, docker etc.
Applied Predictive Modeling With Python
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193
A collection of notebook to learn the Applied Predictive Modeling using Python.
Data Science Live Book
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177
An open source book to learn data science, data analysis and machine learning, suitable for all ages!
Apm_exercises
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171
Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)
Data Science Wg
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122
SF Brigade's Data Science Working Group.
Anndotnet
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119
ANNdotNET - deep learning tool on .NET Platform.
Pyvtreat
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113
vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under a BSD-3-Clause license.
Contrastive Predictive Coding Pytorch
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109
Contrastive Predictive Coding for Automatic Speaker Verification
Gameformer
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104
[ICCV 2023 Oral] Game-theoretic modeling and learning of Transformer-based interactive prediction and planning
Cast
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93
Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models
Stock Return Prediction Using Knn Svm Guassian Process Adaboost Tree Regression And Qda
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85
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
Micromlp
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81
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
Learnr
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77
Exploratory, Inferential and Predictive data analysis. Feel free to show your ❤️ by giving a star ⭐
Sta380
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69
STA 380: Predictive Modeling
Ml2017fall
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63
Machine Learning (EE 5184) in NTU
Machineshop
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62
MachineShop: R package of models and tools for machine learning
Aml London 2019
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56
Course materials for Applied Machine Learning course in 2019 in London
Website
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53
Website sources for Applied Machine Learning for Tabular Data
Dsr
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51
[CoRL 2020] Learning 3D Dynamic Scene Representations for Robot Manipulation
C5.0
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49
An R package for fitting Quinlan's C5.0 classification model
Nba Predict
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46
Predicts Daily NBA Games Using a Logistic Regression Model
Predicting Myers Briggs Type Indicator With Recurrent Neural Networks
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41
Bas
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41
BAS R package https://merliseclyde.github.io/BAS/
Data Science
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39
Lectures for Introduction to Data Science for Public Policy (PPOL 670-01)
Mljar Api Python
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38
A simple python wrapper over MLJAR API.
Firets
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38
A python multi-variate time series prediction library working with sklearn
User2020 Text Modeling Tutorial
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36
Nectar
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35
Open source framework for predictive modeling on Apache Hadoop
Cubist
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35
An R package for fitting Quinlan's Cubist regression model
Stockast
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33
Predict stock market pricing over 180 minutes using Black-Scholes stochastic modeling and parallel Monte-Carlo simulations.
Market Mix Modeling
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26
Market Mix Modeling for an eCommerce firm to estimate the impact of various marketing levers on sales
Modelgrid
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23
A Minimalistic Framework for Creating, Managing and Training Multiple Caret Models
Faraday Js
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22
Typescript library to access Faraday's API infrastructure for B2C predictions
Bitcoin Nn
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22
Predictive modeling for Bitcoin prices using LSTM and stacked neural nets
Automl_comparison
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22
Comparison of automatic machine learning libraries
User Profiling In Social Media
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22
Predicting gender, age and personality traits of a user from profile images, status and likes
Tidyapm
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22
tidymodels code for Applied Predictive Modeling
Ds_portfolio
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21
Recommender System
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21
In this code we implement and compared Collaborative Filtering algorithm, prediction algorithms such as neighborhood methods, matrix factorization-based ( SVD, PMF, SVD++, NMF), and many others.
Pyncov 19
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20
Flexible mechanistic epidemiological model to learn and predict the spread of COVID-19
Zs Data Science Challenge
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19
A Data science challenge - "Mekktronix Sales Forecasting" organised by ZS through Hackerearth platform. Rank: 223 out of 4743.
Artemis
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19
A Python package with explanation methods for extraction of feature interactions from predictive models
Knime Textprocessing
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18
KNIME - Text Processing Extension (Labs)
Ahead
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17
Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)
Jd Prediction
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16
京东JData算法大赛-高潜用户购买意向预测
Statistical Learning Using R
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16
This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.
User2020tutorial
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16
Detalles del tutorial de useR!2020 organizado por capítulos de Argentina
Mljar Api R
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15
R wrapper for MLJAR API
Enpls
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15
Algorithmic framework for measuring feature importance, outlier detection, model applicability evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.
Lstm_solar_forecasting
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14
PyTorch implementation of LSTM Neural Network for Multi-time-horizon solar forecasting
Ndd
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14
Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity
Spkit
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14
Signal Processing Toolkit, including ML models with visualization
Predicting Baseball Statistics
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14
Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn
Datafsm
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13
Machine Learning Finite State Machine Models from Data with Genetic Algorithms
Henosis
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13
A Python framework for deploying recommendation models for form fields.
Represent
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12
Civic Engagement with Data Science
Trilearn
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12
Bayesian structure learning and classification in decomposable graphical models.
Sklearn2sql Demo
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12
Demo of an In-database processing tool for scikit-learn
Solar Forecasting Rnn
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12
Multi-time-horizon solar forecasting using recurrent neural network
Pynmsnn
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11
NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch
Spotify Analysis
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11
Analyzing and Predicting Songs
Mlr
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11
Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and other features
Driving Behavior Risk Prediction.
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11
2018平安产险数据建模大赛 驾驶行为预测驾驶风险
Sentrypeerhq
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10
Fraud Detection for VoIP. Use SentryPeer® HQ to help prevent VoIP cyberattacks and fraudulent VoIP phone calls (toll fraud) at https://sentrypeer.com
Atlantic
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10
Atlantic - Automated Data Preprocessing Framework for Supervised Machine Learning
Pytolemaic
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10
Toolbox for analysis of model's quality and model's description. For further details see
Pypsps
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9
Predictive State Propensity Subclassification (PSPS): A causal deep learning algoritm in TensorFlow keras
Timeseries Rnn
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9
Time-series forecasting with 1D Conv model, RNN (LSTM) model and Transformer model. Comparison of long-term and short-term forecasts using synthetic timeseries. Sequence-to-sequence formulation.
Datasci Firerisk
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8
This project attempts to model and acquire data from SF OpenData - and other sources - to predict the relative risk of fire in San Francisco’s buildings and public spaces.
Ichps2015_class_imbalance
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8
Data and code for "Predictive Modeling on Data with Severe Class Imbalance: Applications on Electronic Health Records"
Predicting Bitcoin Price Variations
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8
Predicting Bitcoin Price Variations using Bayesian Regression
Openmrs Module Mysqletl
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7
This is the OpenMRS Module that will perform ETL from MySQL database to datawarehouse.
R_clinical_model
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7
R语言实战临床预测模型
Rpharma 2019 Workshop
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7
Course notes and code for the workshop
Ai Hacktoberfest
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7
Welcome to the Hacktoberfest Challenge for Artificial Intelligence / Machine Learning ! Today we will be assessing your skills to Predict Forest Fire Areas given its various parameters!
Capstoneproject_house_prices_prediction
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7
Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and suggested a best model to predict the final sale price of a house. Seaborn is used to plot graphs and scikit learn package is used for statistical analysi
Real_estate_machine_learning
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7
Modelling real estate market in Budapest using machine learning
Predict Bay
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6
PredictBay is an innovative project that aims to revolutionize decision-making in investment strategies through intelligent forecasting. Our platform utilizes advanced machine learning algorithms to provide accurate predictions for stocks .
Bayesianopttools
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6
Bayesian Optimization and Uncertainty Analyses Tools
Machine_learning_projects
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6
In this projects is build for some machine learning algorithms. It is used for beginner to intermediate. so i hope that's used for all.
Cryptocurrency_market_prediction
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6
Time Series based analysis of cryptocurrency prediction using deep learning models
Apm Project
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6
Ssgpr
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6
Sparse Spectrum Gaussian Process Regression
Spark Cp
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6
This repository contains a Spark-based distributed implementation of conformal prediction, which introduces valid confidence estimation in predictive modeling for Big Data analytics
Capstone Yield Prediction And Variety Recommender
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6
Yield Prediction and Variety Recommendations for Southern India
Predicting_money_spent_at_resort
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6
It is From Analytics Vidhya Hackathons, Sponsored by Club Mahindra. It is based on Regression Problem, Where Accuracy matters the most, It is measured by RMSE Score. Different Techniques such as Stacking, Ensembling, Boosting and Scientific Operations such box-cox Operations to reduce skewness of the data.
Soilsamples
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6
Soil Sample and Soil Profile Datasets: an Open Compilation
1-100 of 121 search results
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