dummy-variables

There are 0 repository under dummy-variables topic.

vishnukanduri / Credit-Risk-Modeling-in-Python
Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discrete variables using various techniques depending on the feature. Checked for missing values and cleaned the data. Built the probability of default model using Logistic Regression. Visualized all the results. Computed Weight of Evidence and price elasticities.
dummy-variables credit-risk loan-default-prediction loans modeling python pandas tutorial tutorial-code numpy matpllotlib machine-learning machine-learning-algorithms machinelearning-python machine-intelligence
Language:Jupyter Notebook 72
kshitij-raj / Bike-Share-Prediction
Predictive model that tells important factors(or features) affecting the demand for shared bikes
dummy-variables linear-regression minmaxscaling python3 rfe vif
Language:Jupyter Notebook 2
jesussantana / SkLearn-Train-Test
Scientific programming through the SKLearn / Scikitlearn library
python sklearn train-test-split train-test-validation transformation scikitlearn-library dummy-variables preprocessing
Language:Jupyter Notebook 1
nisa-g / Data-Preprocessing-Full-Code
This file provides full practice of data preprocessing methods and techniques using different types of libraries.
numpy pandas python dummy-variables matplotlib matplotlib-pyplot missing-value-imputation onehot-encoding seaborn typecasting
Language:Python 1
twdooley / bgg_project
bgg ranking boardgamegeek rating pricing analysis selenium marketplaces dummy-variables
Language:Jupyter Notebook 1
AWrzos / Study_Regression
different types of regression
jupyter-notebook linear-regression logistic-regression multiple-linear-regression python regression-models sklearn prediction train-test-split matplotlib numpy pandas p-value descriptive-statistics dummy-variables seaborn statsmodels data-science machine-learning regression
Language:Jupyter Notebook 0
chinmayeeguru / Lead-Scoring-Logistic-Regression-Model
To predict which customer is most likely to convert
accuracy dummy-variables feature-engineering logistic-regression min-max-scaler one-hot-encoding roc-curve sensitivity specificity
Language:Jupyter Notebook 0
Fabrizio211 / 64060_IntroMachineLearning_ffiorini
Introduction to Machine Learning course - Spring 2021 - Supervised and Unsupervised Learning, KNN Classification Models, Naive-Bayes Classifier, Regression Analysis, K-Means and DBSCAN Clustering Analysis, Association Rules and PCA, Confusion Matrix, Normalization, Dummy Variables.
supervised-learning unsupervised-learning knn-classification naive-bayes-classifier regression-analysis k-means-clustering dbscan-clustering association-rules confusion-matrix dummy-variables pca-analysis
Language:HTML 0
lakshaykakkarr / bikes-sales
Business Goal: To model the demand for shared bikes with the available independent variables. It will be used by the management to understand how exactly the demands vary with different features. They can accordingly manipulate the business strategy to meet the demand levels and meet the customer's expectations.
linear-regression r-squared multiple-linear-regression dummy-variables recursive-feature-elimination
Language:Jupyter Notebook 0
MaoIlich / Project-0-Linear-Regression
Goal is to predict the miles per gallon of the cars using different attributes
linear-regression statsmodels seaborn-plots dummy-variables labelencoder isdigit train-test-using-sklearn
Language:Jupyter Notebook 0
megamillions / Housing-Prices-Competition
Build a model with machine learning to predict housing prices in Ames, Iowa. Top 11% in the Kaggle Housing Prices Competition.
python machine-learning data-science kaggle-competition housing-prices feature-mapping simple-imputer dummy-variables sklearn ames-housing random-forest-regressor
Language:Python 0
Housing-Regression-Project
melodygr / Housing-Regression-Project
King County Real Estate Model
ols-regression cross-validation onehot-encoding recursive-feature-elimination scaling eda data-visualization datacleaning multicollinearity dummy-variables qqplot polynomial-regression
Language:Jupyter Notebook 0
prasadposture / Data-Preparation
There are lot of things that need to be done on the given dataset before we feed it to the machine, these things come under data preprocessing. In this repository I have tried to explain those things with some examples.
label-encoding data-binning scaling groupby missing-value-handling outliers dummy-variables duplicate-rows
Language:Jupyter Notebook 0
shreyas-singhal / Bike-Sharing-Case-Study
The Bike Sharing Company wants to understand the independent variables on their past data to analyze and create a machine learning model to understand the demand of the bike and accordingly plan a business strategy.
python boxplot data-cleaning data-preparation-and-analysis dummy-variables exploratory-data-analysis heatmap jupyter-notebook linear-regression-models matplotlib-python minmaxscaler numpy-library pandas-library seaborn-plots testing-data training-data
Language:Jupyter Notebook 0
shreyas-singhal / Lead-Scoring-Case-Study
X Education Organization wants to identify if a customer registered on their website for enquiry is a potential customer or not. Using past data to build a machine learning algorithm
exploratory-data-analysis python univariate-analysis bivariate-analysis cleaning-data-in-python dummy-variables logistic-regression-algorithm machine-learning machine-learning-algorithms model-building outlier-treatment outlier-analysis
Language:Jupyter Notebook 0
FeatureEngineering
TheMrityunjayPathak / FeatureEngineering
Feature Engineering with Python⚙️
iqr outlier-removal zscore data-standardization dummy-variables imbalanced-data modified-zscore
Language:Jupyter Notebook 0
ashishyadav24092000 / MultipleLinearRegression_CategoricalVariables
This python code shows howw regression is handled in case of categorical variables using duumies. It calculates the multiple regression code and shows the regression table. It also performs the residual analysis.
multiple-linear-regression ols-regression scatter-plot categorical-variables dummy-variables
Language:Jupyter Notebook
ayushnanda21 / Machine-learning-Preqs
Working Examples of all algorithms with datasets
machine-learning numpy pandas linear-algebra data-visualisation seaborn knn-algorithm opencv linear-regression pickle joblib scikit-learn logistic-regression dummy-variables decision-trees support-vector-machine random-forest kfold-cross-validation k-means naive-bayes-algorithm
Language:Jupyter Notebook
pramodiperera / ML
Sample programs with basic machine learning concepts
linear-regression logistic-regression decision-tree svm k-means-clustering kfold-cross-validation gradient-descent hyperparameter-tuning naive-bayes random-forest regularization dummy-variables outlier-detection train-test-split sklearn pandas numpy python machine-learning matplotlib
Language:Jupyter Notebook

dummy-variables

vishnukanduri / Credit-Risk-Modeling-in-Python

kshitij-raj / Bike-Share-Prediction

jesussantana / SkLearn-Train-Test

nisa-g / Data-Preprocessing-Full-Code

twdooley / bgg_project

AWrzos / Study_Regression

chinmayeeguru / Lead-Scoring-Logistic-Regression-Model

Fabrizio211 / 64060_IntroMachineLearning_ffiorini

lakshaykakkarr / bikes-sales

MaoIlich / Project-0-Linear-Regression

megamillions / Housing-Prices-Competition

melodygr / Housing-Regression-Project

prasadposture / Data-Preparation

shreyas-singhal / Bike-Sharing-Case-Study

shreyas-singhal / Lead-Scoring-Case-Study

TheMrityunjayPathak / FeatureEngineering

ashishyadav24092000 / MultipleLinearRegression_CategoricalVariables

ayushnanda21 / Machine-learning-Preqs

pramodiperera / ML