Machine learning utility functions and classes.
machine-learning pipeline pca confusion-matrix roc-curve residuals elbow-method elbow-plot roc-auc precision-recall-curve precision-recall adjusted-r-squared pr-curve scree-plot
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- Python
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adjusted-r-squared
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Predicted house prices using multiple linear regression. Used back elimination to further improve the model and select features based on p-value and adjusted R squared value.
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- Jupyter Notebook
linear-regression multivariate-analysis cost-function adjusted-r-squared loss-function ineuron ineuron-ai r-squared subramanyam
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An introduction into the world of machine learning with a comprehensive Udemy online course, designed for beginners, to learn Python programming fundamentals and gain valuable insights into the practical applications of machine learning.
python data-science machine-learning clustering linear-regression classification logistic-regression confusion-matrix maximum-likelihood feature-scaling k-means-clustering multiple-linear-regression ordinary-least-squares adjusted-r-squared r-squared accuracy-ratio
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python module, showcasing computation (as part of a learning process) of some common statistical methods including mininum sample size, confidence interval estimation methods for mean or proportion, hypothesis testing mehods and regression models witth metrics and test suites
python statistics beginner-project linear-regression p-value statistical-analysis logistic-regression hypothesis-testing statistical-models log-likelihood confidence-interval kurtosis adjusted-r-squared fisher-test normality-test metrics-evaluation log-loss-score-metric student-test
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- Python
University Project: using linear regression models to predict secondary market car prices based on a series of features. We will apply variable selection techniques and optimisation in attempt to build the best predictive model.
machine-learning regularization regression-models optimisation bayesian-information-criterion akaike-information-criterion adjusted-r-squared
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Regression is one of the foundational techniques in Machine Learning. Being one of the most well-understood algorithms, beginners always struggle to understand some fundamental terminology related to regression. In this series of projects, I will try to give you basic ideas of underlying concepts with the help of practical examples. If you are s…
python data-science machine-learning liner-regestion adjusted-r-squared simplelinearregression rsquared
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The project involves the multivariate regression analysis of a dataset.
cross-validation least-squares model-selection t-test confidence-intervals outlier-detection multicollinearity multivariate-regression bias-variance simple-linear-regression akaike-information-criterion prediction-intervals adjusted-r-squared r-squared underlying-assumptions categorical-covariates partial-f-test
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- R
This assignment is a programming assignment wherein you have to build a multiple linear regression model for the prediction of demand for shared bikes.
visualization python linear-regression train linear-models vif r2-score adjusted-r-squared train-test-split
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Medical insurance EDA and prediction: feature engineering, correlation analysis & Chi-square tests
data-science linear-regression sklearn exploratory-data-analysis eda pandas data-visualization statistical-analysis data-analysis r2-score chisquare-test adjusted-r-squared
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