regression-analysis
There are 1131 repositories under regression-analysis topic.
philippe-ostiguy/PyBacktesting
🚀 Optimizing the Elliott Wave Theory using genetic algorithms to forecast the financial markets.
TatevKaren/mathematics-statistics-for-data-science
Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.
google/dana
Test/benchmark regression and comparison system with dashboard
andy489/Empirical_Methods_and_Statistics
Probability and Statistics, Events, Random variables, Distributions, Moments, Main Limit Theorems, Hypothesis, Regression and more. Statistical Computing and Graphics with R.
applied-geodesy/jag3d
Java·Applied·Geodesy·3D - Least-Squares Adjustment Software for Geodetic Sciences
cyberscribe/d20datascience
Data science investigations into the mechanics of the world's greatest role playing game
hunar4321/RLS-neural-net
Recursive Leasting Squares (RLS) with Neural Network for fast learning
Koushikphy/Interactive_Data_Editor
A Software to interactively edit data in a graphical manner
EvanDietrich/Quant-Finance-Projects
Quantitative Finance & Statistics Projects. Topics including multiple linear regression, variance and instability estimates, display methodology.
mrtkp9993/Statistical-Modeling-Examples
Basic statistical modelling examples.
lalvim/PartialLeastSquaresRegressor.jl
Implementation of a Partial Least Squares Regressor
Hyperfoil/Horreum
Benchmark results repository service
junhwanjang/whoscored
Football player rating analysis and position recommendation
m-zakeri/CodART
Source Code Automated Refactoring Toolkit
meiyulee/MathAI
免費數字驅動的數學模型人工智能 | 為你的數字規律建立數學模型 | C語言免安裝軟體
emily1618/Google-Data-Analytics-Bellabeat-Case-Study
Bellabeat Case Study - Google Data Analytics Capstone
jmboehm/GLFixedEffectModels.jl
Fast estimation of generalized linear models with high dimensional categorical variables in Julia
vikrantarora25/Car-Price-Prediction-Highly-Comprehensive-Linear-Regression-Project-
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.
francescopisu/UsedCarPricePrediction
🚗 Solving the problem of predicting the price of a used car using Sklearn's supervised machine learning techniques.
sharmaroshan/Big-Mart-Sales-Prediction
Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to Support it.
bradjasper/Mixpanel-Statistics
Perform statistics on Mixpanel API data
CarsonScott/CALM
Conditional Associative Logic Memory
benthecoder/JohnHopkinsDataScience
My Code Repository for Coursera Data Science Specialization by John Hopkins University
JavierCastilloGuillen/Quantitative_Toolbox
On this repository you'll find tools used for Quantitative Analysis and some examples such: MonteCarlo Simulations, Linear Regression, General Data Visualiztions, Time-Series Analysis, etc.
ooples/AiDotNet
A new library for all of the newest ai algorithms
ShuaiGuo16/Gaussian-Process
Implementing a Gaussian Process regression model from scratch
harsh14796/Stock-Market-Analysis-With-Python
Performing the Financial Analysis on Historic Stock Market Data such as calculating various risks, returns,etc.
NikhilaThota/CapstoneProject_House_Prices_Prediction
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 analysis.
ParallelGSReg/GlobalSearchRegression.jl
Julia's HPC command for automatic feature/model selection using all-subset-regression approaches
atifkarim/Time-Series-Forecasting-Using-Machine-Learning-Algorithm
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.
geekquad/Fraud-Detection
A Person Of Interest identifier based on ENRON CORPUS data.
sharmaroshan/Stock-Market-Predictions
Predicting the stock market opening values using Deep learning's Model Recurrent Neural Networks which is a very powerful model.
ahmetozlu/nonlinear_regression_keras
Training of a neural network for nonlinear regression prediction with TensorFlow and Keras API.
alex-moreno/glitcherbot
Visual regression testing made easy. Automating the boring stuff
kennedyCzar/ALGORITHM-TRADING-AND-STOCK-PREDICTION-USING-MACHINE-LEARNING
ALGORITHM TRADING AND STOCK PREDICTION USING MACHINE LEARNING
sharmaroshan/Predict-Future-Sales
It is from a kaggle competition where we have to predict the future sales using Machine Learning or Deep Learning. It is a Advanced Regression Problem where Statistics and time series analysis is also required. This problem can be very well done by Deep Learning's Model Recurrent Neural Networks.