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12 search results found
Mathematics Statistics For Data Science
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54
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.
Statistical Modeling Examples
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28
Basic statistical modelling examples.
Codart
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25
Source Code Automated Refactoring Toolkit
Calm
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24
Conditional Associative Logic Memory
Mixpanel Statistics
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23
Perform statistics on Mixpanel API data
Plsregressor.jl
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20
Implementation of a Partial Least Squares Regressor
Algorithm Trading And Stock Prediction Using Machine Learning
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8
ALGORITHM TRADING AND STOCK PREDICTION USING MACHINE LEARNING
Regression Error Characteristic Curve
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8
Regression Error Characteristic (REC) Curves in Python
Time Series Forecasting Using Machine Learning Algorithm
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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.
Regression Analysis
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7
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.
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
Car Price Prediction Highly Comprehensive Linear Regression Project
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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.
Machinelearninginhealthcare
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6
This repository focuses on two machine learning projects in the healthcare domain.
Regression With Python And R
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5
Regression with Python & R.
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