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Jan 6, 2022
rsquare-values
Here are 20 public repositories matching this topic...
Used libraries and functions as follows:
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Sep 12, 2022 - Jupyter Notebook
Predicting the salary using Polynomial Regression
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Dec 16, 2023 - Jupyter Notebook
Creating customer segments using unsupervised learning algorithms
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Aug 10, 2018 - Jupyter Notebook
MLR assignment
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May 20, 2021 - Jupyter Notebook
MechaCar prototypes Collected summary statistics on the pounds per square inch (PSI) of the suspension coils from the manufacturing lots Ran t-tests to determine if the manufacturing lots are statistically different from the mean population Designed a statistical study to compare vehicle performance of the MechaCar vehicles against vehicles from…
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Mar 1, 2022 - R
Supervised-ML---Multiple-Linear-Regression---Toyota-Cars. EDA, Correlation Analysis, Model Building, Model Testing, Model Validation Techniques, Collinearity Problem Check, Residual Analysis, Model Deletion Diagnostics (checking Outliers or Influencers) Two Techniques : 1. Cook's Distance & 2. Leverage value, Improving the Model, Model - Re-buil…
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Jun 14, 2021 - Jupyter Notebook
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 Model Predictions using simple linear regressi
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May 5, 2024 - Jupyter Notebook
Forecasting Admission using Deep Learning Regression
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Jun 17, 2023 - Jupyter Notebook
Supervised-ML---Simple-Linear-Regression---Newspaper-data. EDA and Visualization, Correlation Analysis, Model Building, Model Testing, Model predictions.
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Jun 8, 2021 - Jupyter Notebook
Performed predictive analysis on Advertising budget data set.
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Mar 8, 2021 - R
This is a house price prediction study which utilized Exploratory Data Analysis, Dealing with Missing Values, Linear Regression with LASSO and Ridge regularization to predict house prices in the Ames Housing Data Set
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Jan 24, 2023 - Jupyter Notebook
Exploring Insights/Inferences by performing EDA on the given project data (50_Startups and Toyota Corolla data) . Model fitting via linear regression by Importing sklearn package. Selecting the best fitted model via python programming.
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Jan 5, 2024 - Jupyter Notebook
Determining uncorrelated returns
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Dec 28, 2022 - Jupyter Notebook
Building a predictive model for Salary hike based on YearExperience
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Dec 16, 2023 - Jupyter Notebook
This is a application used to preform linear regression based math on excel files of energy data to find rSquare values, savings percentages, fitted models, and p values (still in the works). Data is shown through two different ways, the first being a heatmap based on rSquare values, and the second being a graph of both rSquare values and saving…
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Aug 13, 2018 - CSS
This is my Hamoye Stage B project. The project focuses on Predicting Energy Efficiency of Buildings. It implemented different Machine Learning algorithm technique that are not limited to Linear Regression, LASSO, Ridge etc.
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Aug 11, 2022 - Jupyter Notebook
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…
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May 29, 2021 - Jupyter Notebook
Assignment-05-Multiple-Linear-Regression-2. Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few y…
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Jun 12, 2021 - Jupyter Notebook
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