simple-linear-regression

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srafay / Machine_Learning_A-Z

Learning to create Machine Learning Algorithms

machine-learning-algorithms datascience naive-bayes-classifier logistic-regression support-vector-machine polynomial-regression decision-tree-classifier dataprocessing classification-algorithims random-forest-regressor support-vector-regression multiple-regression decision-tree-regression k-means-implementation-in-python k-means-clustering kernel-svm random-forest-classifier simple-linear-regression k-nearest-neighbors machine-learning-az

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Python

pavankalyan1997 / Machine-learning-without-any-libraries

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This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms

machine-learning-algorithms jupyter-notebook naive-bayes-classifier artificial-neural-networks k-means-clustering simple-linear-regression knn-classifier multiple-linear-regression

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👁 Normal-equations-scalar-form-solver-simple-linear-regression-course

SENATOROVAI / Normal-equations-scalar-form-solver-simple-linear-regression-course

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The normal equations for simple linear regression are a system of two linear equations used to find the optimal intercept and slope that minimize the sum of squared residuals. They are derived from the ordinary least squares (OLS) method and can be expressed in scalar or matrix form.Solver

python data-science machine-learning numpy linear-regression linear-algebra solver least-squares educational numerical-analysis normal-equation simple-linear-regression research-software closed-form-solution senatorov normal-equation-solver

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Amitha353 / Machine-Learning-Regression

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Machine-Learning-Regression

cross-validation nearest-neighbor-search gradient-descent polynomial-regression loss-functions kernel-regression lasso-regression coordinate-descent multiple-regression overfitting simple-linear-regression ridge-regre bias-variance-tradeoff generalization-error coefficient-path

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Jupyter Notebook

bastanikola / Machine-Learning-Projects

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Machine Learning Development Projects

numpy pandas python3 seaborn matplotlib convolutional-neural-networks support-vector-machines udemy simple-linear-regression machinelearning-python machinelearningprojects

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vaitybharati / Assignment-04-Simple-Linear-Regression-2

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Assignment-04-Simple-Linear-Regression-2. Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.

python numpy smf eda pandas data-visualization seaborn p-value model-predictions feature-engineering ols-regression statsmodels model-building simple-linear-regression correlation-analysis t-score model-testing distplot regression-plot r-square-values

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reddyprasade / Machine-Learning-With-R

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Machine Learning in R

machine-learning machine-learning-algorithms simple-linear-regression multiple-linear-regression

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PayThePizzo / Predictive-Analysis-Notes

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Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice

r statistics rstudio transformations variable-selection influence statistical-analysis model-selection data-visualisation classification data-analysis glm prediction-model generalized-linear-models residuals categorical-data simple-linear-regression collinearity-diagnostics multiple-linear-regression collinearity

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Oprishri / Machine-Learning-Algorithms

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To know internal working of machine learning algorithms, I have implemented types of regression through scratch.

logistic-regression ridge-regression polynomial-regression decision-tree multivariate-regression lasso-regression knn-classification simple-linear-regression elastic-net-regression

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f-z / machine-learning-projects

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Predicting wine quality using regression on the well-known UCI data set and more

machine-learning linear-regression machine-learning-algorithms regression bayesian-methods logistic-regression machinelearning bayesian gradient gradient-descent bayesian-inference gradients bayesian-statistics radial-basis-function gradient-descent-algorithm knn-classification simple-linear-regression

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Python

Ruban2205 / Data-Science-Introduction

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Welcome to the Data Science Introduction repository! This repository is designed to provide an introduction to the field of data science, covering various topics and techniques commonly used in the industry.

python data-science exploratory-data-analysis data-visualization knn decision-tree-classifier classification-algorithm knn-classification simple-linear-regression

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pramodini18 / Salary-prediction

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Salary prediction using simple linear regression

data-science machine-learning beginner-project linear-regression simple-linear-regression salary-prediction

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Joycechidi / MachineLearning

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All my Machine Learning Projects from A to Z in (Python & R)

python r naive-bayes regression classification logistic-regression polynomial-regression decision-tree-regression kernel-svm simple-linear-regression random-forest-regression multiple-linear-regression datapreprocessing support-vector-regression--svr evaluating-regression-models-perf regularization-methods k-nearest-neighbors-k-nn support-vector-machine-svm decision-tree-classification random-forest-classification

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Jupyter Notebook

elstats / linear-regression

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Simple Linear Regression

statistics linear-regression regression simple-linear-regression

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JavaScript

olgarozhdestvina / Fundamentals-of-Data-Analysis-Project

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Wind Turbine Power Production

jupyter-notebook data-analysis polynomial-regression simple-linear-regression

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ASHOKKUMAR-K / Machine-Learning-Algorithms-From-Scratch

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This Repository consists of popular Machine Learning Algorithms implemented from scratch using python

machine-learning-algorithms python3 simple-linear-regression scratch-implementation multiple-linear-regression

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madhurima-nath / regression_and_predictions

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data-science r statistics analysis linear-regression regression ridge-regression polynomial-regression women-in-tech lasso-regression simple-linear-regression multiple-linear-regression outliers-detection women-who-code spline-regression factor-variable

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xdec / data-science

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This is a repository for data science templates. New templates will be added as and when they are created. Feel free to use these templates for your data science projects!

python data-science machine-learning library deep-learning math tensorflow templates linear-algebra keras notebooks jupyter-notebooks knn kmeans-clustering k-nearest-neighbor simple-linear-regression colab-notebooks

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Jupyter Notebook

vaitybharati / Assignment-04-Simple-Linear-Regression-1

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Assignment-04-Simple-Linear-Regression-1. Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Mo…

python numpy smf eda pandas data-visualization seaborn p-value model-predictions feature-engineering ols-regression statsmodels model-building simple-linear-regression correlation-analysis rsquare-values t-score model-testing distplot regression-plot

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Jupyter Notebook

immanuvelprathap / Automobile-Data

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Used Car Prices from the Automobile dataset in order to predict the most suitable Car Price.

python machine-learning statistics numpy exploratory-data-analysis jupyter-notebook pandas seaborn data-analysis matplotlib data-wrangling exploratory-data-visualizations simple-linear-regression multiple-linear-regression regression-plots distribution-plots

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