handling-missing-values

There are 0 repository under handling-missing-values topic.

Abdullah321Umar / DataZenixSolutions_DataAnalytics-Project3
🔸 Predicting House Prices with Linear Regression 🔸 This project predicts house prices using Linear Regression based on key features like square footage, bedrooms, bathrooms, lot size, and neighborhood quality. Built with Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn for data analysis and visualization.
categorical-encoding handling-missing-values machine-learning outliers programming-tools regression-models train-test-split data-analysis-preparation feature-selection-engineering numerical-categorical-variables visualization-insights histograms scatter-plots residual-plots visuals
Language:Jupyter Notebook 1
alejo1630 / missing_values
This Notebook explores the impact of different missing data handling techniques on a medical dataset by analyzing missingness patterns, variable distributions, and inter-feature relationships to inform appropriate imputation strategies.
handling-missing-values jupyter-notebook missing-data python
Language:Jupyter Notebook 1
Ehsan-Behzadi / Breast-Cancer-Prediction-Model
This project implements a machine learning model to predict breast cancer diagnosis. Utilizing techniques such as data preprocessing, feature selection, and various algorithms, the model aims to assist in early detection and improve healthcare outcomes. Explore the repository to understand the methodology and technologies used in this project.
breast-cancer-prediction breast-cancer-wisconsin data-imputation data-preprocessing dbscan-clustering feature-selection handling-missing-values iqr-method k-nearest-neighbours machine-learning mutual-information outlier-detection predictive-modeling standardization randomizedsearchcv tuning-hyperparameters mice-algorithm robust-scaler lasso-regression
Language:Jupyter Notebook 0
Data-Wrangling
madhurimarawat / Data-Wrangling
This repository contains experiments on data wrangling techniques, focusing on methods for handling missing values, filtering, aggregation, and more.
codes data-aggregation data-concatenation data-conversion data-filtering data-merging data-preprocessing data-reshaping data-sampling data-visualization data-wrangling data-wrangling-workflow date-time-processing detailed-documentation handling-missing-values jupyter-notebook markdown output python text-data-processing
Language:Jupyter Notebook
MaickCrack / DataZenixSolutions_DataAnalytics-Project3
📊 Build a predictive model to estimate house prices using Linear Regression, transforming raw data into actionable business insights.
categorical-encoding data-analysis-preparation feature-selection-engineering handling-missing-values histograms machine-learning numerical-categorical-variables outliers programming-tools regression-models residual-plots scatter-plots train-test-split visualization-insights visuals
Language:Jupyter Notebook
Vineeshavilla / TECHNOHACKS-EDUTECH
In this repository, you'll find all the code solutions I've completed during my TECHNOHACKS EDUTECH internship as a data analyst intern.
data-analyst data-cleaning outlier-detection outlier-treatment handling-duplicate-values handling-missing-values data-visualization summary-statistics
Language:Jupyter Notebook