featurescaling

Here are 17 public repositories matching this topic...

Tanmoy9563 / Treue_Technologies

This is about Treue Technologies Data science Internship tasks.

Updated Aug 30, 2023
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SURESHBEEKHANI / Machine-Learning-Regression-Algorithms-

This Python script processes a housing dataset to predict property prices using a Linear Regression model. It starts by importing essential libraries (NumPy, Pandas, Matplotlib, Seaborn, and scikit-learn).

python numpy pandas seaborn datascience matplotlib machinelearning dataanalysis linearregression featurescaling

Updated May 31, 2024
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PrakritiKhilnani / Machine-learning

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ML using NumPy and Pandas

linear-regression regularization gradient-descent locally-weighted-regression featurescaling

Updated Jul 21, 2022
Python

venkatesh-eranti / clustering_milestone-project-Wholesale-customers

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The wholesale distributor is considering changing its delivery service from currently 5 days a week to 3 days a week. However, the distributor will only make this change in delivery service for customers that react positively. How can the wholesale distributor use the customer segments to determine which customers, if any, would reach positively…

pca-analysis kmeans-clustering outlier-removal gmm-clustering silhouette-score featurescaling

Updated Nov 30, 2020
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Hassaniftikhar24 / Support_Vector_Machines-ML

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Using SVM to predict whether a customer can retire or not based on his/her features.

machine-learning numpy seaborn classification support-vector-machines unsupervised-machine-learning normalization-data matplotlib-pyplot featurescaling

Updated Oct 10, 2020
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bullor / Feature-Scaling-for-Machine-Learning-Understanding-the-Difference-Btw-Normalization-Standardization

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Feature Scaling for Machine Learning: Understanding the Difference Btw Normalization&Standardization

python machine-learning standardization normalization featurescaling

Updated Aug 3, 2022

Hassaniftikhar24 / Decision-Trees-for-Amazon-Reviews-Classification-ML

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The objective is to discover insights into consumer reviews and perform sentiment analysis on the data.

data machine-learning sentiment-analysis numpy scikit-learn pandas data-visualization seaborn feature-extraction supervised-learning data-analysis decision-trees unsupervised-learning decision-tree-classifier countvectorizer seaborn-plots featurescaling

Updated Oct 28, 2020
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mishika12 / Regression-Predicting_Life_Expectancy

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Analyzing and predicting life expectancy of a country based on multiple factors using multiple regression techniques

kfold-cross-validation onehot-encoding featurescaling

Updated Jan 5, 2024
Jupyter Notebook

vishvadesai9 / Feature_Scaling

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Study feature scaling.

machine-learning standardization data-preprocessing preprocessing feature-scaling normalization featurescaling

Updated Dec 3, 2020
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SivashankariThirugnanam / Weight-category-prediction-Analysis

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This machine learning model uses various features to predict the weight category of an individual, such as their height, age, gender, and body measurements. And based on that we can analyze that the individual is Extremely Obese, Obesity, Overweight, Normal, weak, Extreme weak.

numpy scikit-learn pandas seaborn matplotlib featurescaling

Updated Apr 3, 2023
Jupyter Notebook

SriNandhiniManikandan / Flight_fare_predictor

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python eda featureengineering randomforestregressor featureselection featurescaling

Updated Apr 25, 2021
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ShubhamShindee / Exploratory-Data-Analysis

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This repository contain all the file related to Feature Scaling,Label Encoding and corelation,Outliers Removal etc.in short it contain all files related to data preprocessing.

datavisualization outliers-detection labelencoder corelation-of-features featurescaling

Updated Jul 31, 2021
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anandanraju / Analysis_On_House_Sales_using_LR_and_RR

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This project contains dataset of house sale prices for USA. It includes homes sold between May 2019 and May 2020. Goal to determine the market price of a house given a set of features.Analyze and predict housing prices using attributes or features such as square footage, number of bedrooms, number of floors, and so on.

linear-regression comparison dataset ridge-regression price-prediction house-sales-prediction featurescaling

Updated Oct 11, 2022
Jupyter Notebook

ashishyadav24092000 / MAchineLearning_FeatureEngineering1

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In this i have performed complete feature engineering that is from handling null values, Categorical features upto performing feature scaling on our test_data and train_data.

exploratory-data-analysis feature-engineering exploratory-data-visualizations categorical-features featurescaling