Topic: regression-analysis Goto Github
Some thing interesting about regression-analysis
Some thing interesting about regression-analysis
regression-analysis,The main aim of this project is to tell that the certain project will be successful or it will fail by applying machine learning algorithm. In this , LOGISTIC REGRESSION is used to determine the success of the project by splitting the data into training and testing models and predicting a successful one.
User: abdurrahmankhan
regression-analysis,Linear Regression Analysis on Wine data - Pre-processing data, Exploratory Data Analysis, Building a model, Check assumptions, Goodness of fit and Compare with different methods.
User: abhishekmamidi123
regression-analysis,Training of a neural network for nonlinear regression prediction with TensorFlow and Keras API.
User: ahmetozlu
regression-analysis,Visual regression testing made easy. Automating the boring stuff
User: alex-moreno
regression-analysis,An end-to-end machine learning project, student performance indicator. The goal of this project is to understand the influence of the parents background, test preparation, and various other variables on the students performance.
User: ammarlodhi255
regression-analysis,Probability and Statistics, Events, Random variables, Distributions, Moments, Main Limit Theorems, Hypothesis, Regression and more. Statistical Computing and Graphics with R.
User: andy489
regression-analysis,Java·Applied·Geodesy·3D - Least-Squares Adjustment Software for Geodetic Sciences
User: applied-geodesy
Home Page: https://software.applied-geodesy.org
regression-analysis,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.
User: atifkarim
regression-analysis,My Code Repository for Coursera Data Science Specialization by John Hopkins University
User: benthecoder
Home Page: https://benthecoder.github.io/JohnHopkinsDataScience/
regression-analysis,A small tutorial on MARS: Multivariate Adaptive Regression Splines in Python
User: bhattbhavesh91
regression-analysis,Perform statistics on Mixpanel API data
User: bradjasper
regression-analysis,Conditional Associative Logic Memory
User: carsonscott
regression-analysis,Data science investigations into the mechanics of the world's greatest role playing game
User: cyberscribe
regression-analysis,Bellabeat Case Study - Google Data Analytics Capstone
User: emily1618
regression-analysis,Quantitative Finance & Statistics Projects. Topics including multiple linear regression, variance and instability estimates, display methodology.
User: evandietrich
regression-analysis,🚗 Solving the problem of predicting the price of a used car using Sklearn's supervised machine learning techniques.
User: francescopisu
regression-analysis,A Person Of Interest identifier based on ENRON CORPUS data.
User: geekquad
regression-analysis,Test/benchmark regression and comparison system with dashboard
Organization: google
regression-analysis,Performing the Financial Analysis on Historic Stock Market Data such as calculating various risks, returns,etc.
User: harsh14796
regression-analysis,Recursive Leasting Squares (RLS) with Neural Network for fast learning
User: hunar4321
regression-analysis,Benchmark results repository service
Organization: hyperfoil
Home Page: https://horreum.hyperfoil.io/
regression-analysis,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.
User: javiercastilloguillen
regression-analysis,Fast estimation of generalized linear models with high dimensional categorical variables in Julia
User: jmboehm
regression-analysis,This project consists in competing in the following Kaggle competition: https://www.kaggle.com/c/house-prices-advanced-regression-techniques
User: joannabroniarek
regression-analysis,Football player rating analysis and position recommendation
User: junhwanjang
regression-analysis,Data Wrangling, Linear Models & other misc. Inferential Statistics.
User: jxareas
regression-analysis,ALGORITHM TRADING AND STOCK PREDICTION USING MACHINE LEARNING
User: kennedyczar
regression-analysis,Principal Component Regression - Clearly Explained and Implemented
User: kennethleungty
regression-analysis,A Software to interactively edit data in a graphical manner
User: koushikphy
Home Page: https://koushikphy.github.io/Interactive_Data_Editor/
regression-analysis,Implementation of a Partial Least Squares Regressor
User: lalvim
regression-analysis,Source Code Automated Refactoring Toolkit
User: m-zakeri
Home Page: https://m-zakeri.github.io/CodART/
regression-analysis,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
User: meiyulee
Home Page: https://sites.google.com/view/prsimulated/
regression-analysis,Basic statistical modelling examples.
User: mrtkp9993
regression-analysis,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.
User: nikhilathota
regression-analysis,Predicting the age of abalone using multiple regression in R
User: nishitpatel01
regression-analysis,Oil Data Analytics
User: olegryzhkov2020
regression-analysis,A new library for all of the newest ai algorithms
User: ooples
regression-analysis,Julia's HPC command for automatic feature/model selection using all-subset-regression approaches
Organization: parallelgsreg
regression-analysis,🚀 Optimizing the Elliott Wave Theory using genetic algorithms to forecast the financial markets.
User: philippe-ostiguy
regression-analysis,Experimenting with various regression models, we try to arrive at the most accurate prediction of the CO2 emission of a new car model
User: pranavtumkur
regression-analysis,Winning solution of the Kaggle KDD BR 2018 machine learning competition
User: rafjaa
Home Page: https://www.kaggle.com/c/kddbr-2018
regression-analysis,Predicting Algae's age using different attributes and Machine Learning Algorithms for Regression Analysis.
User: sharmaroshan
regression-analysis,It is a Competition for Regression Challenge held by Kaggle, It is based on a Avito Dataset whose size is 123GB which can be accessed from Kaggle, I have done Data Pre-processing, feature engineering, feature extraction, data visualization, machine learning, stacking and boosting
User: sharmaroshan
regression-analysis,Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to Support it.
User: sharmaroshan
regression-analysis,Predicting Prices for the products to be sold on Black Friday in US using Regression Analysis, Feature Engineering, Feature Selection, Feature Extraction and Data analysis - Data Visualizations.
User: sharmaroshan
regression-analysis,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.
User: sharmaroshan
regression-analysis,Predicting the stock market opening values using Deep learning's Model Recurrent Neural Networks which is a very powerful model.
User: sharmaroshan
regression-analysis,Implementing a Gaussian Process regression model from scratch
User: shuaiguo16
regression-analysis,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.
User: tatevkaren
regression-analysis,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.
User: vikrantarora25
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