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46 search results found

Statsmodels ⭐ 9,242

Statsmodels: statistical modeling and econometrics in Python

Orbit ⭐ 1,776

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

Hyperlearn ⭐ 1,387

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

BAyesian Model-Building Interface (Bambi) in Python.

Python Ml Course ⭐ 724

Curso de Introducción a Machine Learning con Python

Introneuralnetworks ⭐ 691

Introducing neural networks to predict stock prices

100daysofmlcode ⭐ 302

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings 👍

Machine Learning Notebooks ⭐ 241

Machine Learning notebooks for refreshing concepts.

Stargazer ⭐ 166

Python implementation of the R stargazer multiple regression model creation tool

Flight Price Prediction ⭐ 136

Now you can get Flight ticket fare with this wonderful end to end project.

Dominance Analysis ⭐ 128

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

Appelpy ⭐ 124

Applied Econometrics Library for Python

Ml Dl Scripts ⭐ 106

The repository provides usefull python scripts for ML and data analysis

Keras Timeseries Prediction ⭐ 94

Time series prediction with Sequential Model and LSTM units

Machinelearninglab ⭐ 80

Some experiments about Machine Learning

Implementation of Query-guided Regression Network with Context Policy for Phrase Grounding in Tensorflow

Pyprocessmacro ⭐ 56

A Python library for moderation, mediation and conditional process analysis.

Downscale Satellitelst ⭐ 35

A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.

A Hub for all your Machine Learning Projects ranging from Beginner to Intermediate level. Get started with your Open Source and Machine Learning Journey with this beginner-friendly repository.

Deterministic algorithms for objective Bayesian inference and hyperparameter optimization

Calcumlator ⭐ 30

An intelligently dumb calculator that uses machine learning

Statistical Modeling Examples ⭐ 28

Basic statistical modelling examples.

Kaggle Competition Sberbank ⭐ 26

Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-

Conditional Associative Logic Memory

Sparsereg ⭐ 24

a collection of modern sparse (regularized) linear regression algorithms.

Lssvmlib ⭐ 21

This repository provides a Python3 Library with implementations of the Least-Squares Support Vector Machine (LS-SVM) machine learning model. The Classes are designed to integrate smoothly with the scikit-learn library.

Tf 1d 2d Resnetv1 2 Seresnet Resnext Seresnext ⭐ 18

Models supported: ResNet, ResNetV2, SE-ResNet, ResNeXt, SE-ResNeXt [layers: 18, 34, 50, 101, 152] (1D and 2D versions with DEMO for Classification and Regression).

Age Prediction ⭐ 17

This Project is an applicaton based on Computer vision and Machine learning implementation using regression supervised classification.

Deep Learning Workshop ⭐ 14

The repository contains python codes, which I have developed as the facilitator of the two consecutive Deep Learning Workshops (I and II) for the master's students of computer science, University of Windsor.

Volatility Modeling Python Datasci ⭐ 13

Undergraduate Thesis published by the Seoul National University Department of Economics (2020)

Intro_to_dl_tutorial ⭐ 11

Material for introduction to Deep Learning Tutorials, Summer '20, '21

Forest Fire Prediction ⭐ 10

Project for Predicting Algerian Forest Fires and Fire Weather Index Using Machine Learning with Python.

Deep Learning Pytorch Course Materials ⭐ 9

This Repository contains Python Notebooks to learn PyTorch starting from the very basics of implementing gradient descent algorithm in Python and Numpy and slowly moving up the ladder to Deep Learning using PyTorch

Regression Error Characteristic Curve ⭐ 8

Regression Error Characteristic (REC) Curves in Python

Heart Disease Prediction System Using Machine Learning ⭐ 7

A Heart Disease Prediction System built on machine learning

Rnn Based Stock Price Prediction Using Lstm ⭐ 7

This repository will consist of a Long Short-Term Memory implementation of a Recurrent Neural Network used to predict the stock prices of Google Stocks for the next working day based on their past few days opening price trends.

Time Series Forecasting Using Machine Learning Algorithm ⭐ 7

Sensor data of a renowned power plant has given by a reliable source to forecast some feature. Initially the work has done with KNIME software. Now the goal is to do the prediction/forecasting with machine learning. The idea is to check the result of forecast with univariate and multivariate time series data. Regression method, Statistical method.

Functions and code snippets to help save the time!

Cryptocurrency Predictor ⭐ 6

A Machine learning pipline which gathers data from coinmarketcap.com and analyzes it using a neural network regression implemented in keras

Kaggle Brainnetprediction Toolbox ⭐ 6

A Python toolbox for predicting brain network (graph) evolution over time from a single observation. The codes of the 20 competing Kaggle teams along with the competition datasets are made available.

Hybrid Recommender System ⭐ 6

A repository for a machine learning project about creating a hybrid movie recommender system.

Sparse Spectrum Gaussian Process Regression

Machine Learning Algorithms

Car Price Prediction Highly Comprehensive Linear Regression Project ⭐ 6

A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in the U.S automobile industry. A highly comprehensive analysis with detailed explanation of all steps; data cleaning, exploration, visualization, feature selection, model building, evaluation & MLR assumptions validity.

Ml Finance ⭐ 5

Calculate technical indicators from historical stock data Create features and targets out of the historical stock data. Prepare features for linear models, xgboost models, and neural network models. Use linear models, decision trees, random forests, and neural networks to predict the future price of stocks in the US markets. Evaluate performance of the models in order to optimize them Get predictions with enough accuracy to make a stock trading strategy profitable.

This capstone project aims to utilize machine learning to predict the earning power of a room rented out on Airbnb.

Regression With Python And R ⭐ 5

Regression with Python & R.

Airbnb Rental Price Prediction ⭐ 5

The objective of this project is to model the rental prices for Airbnb apartments in London.

Machine Learning Loan Lending Club ⭐ 5

Building Classification & Prediction model to classify the Loan applicant request as approved or rejected and then predict the Interest rate for Loan Approval.

Python Machine Learning Projects ⭐ 5

IMDB Score Prediction

Pre Owned ⭐ 5

This web-based application uses machine learning to predict the price of used cars in India.

Machine Learning ⭐ 5

My Implementation of Machine Learning models

A system and web app to discover good deals of rental properties, built and automated on a serverless architecture.

Statsassume ⭐ 5

Automating Assumption Checks for Regression Models (Work in Progress)

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