Data Science
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Jul 10, 2023 - Jupyter Notebook
#
handling-missing-value
Here are 34 public repositories matching this topic...
This repository is on different types of data, types of missing values and how to handle missing value
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Jan 5, 2021 - Jupyter Notebook
Embark on a transformative "100 Days of Machine Learning" journey. This curated repository guides enthusiasts through a hands-on approach, covering fundamental ML concepts, algorithms, and applications. Each day, engage in theoretical insights, practical coding exercises, and real-world projects. Balance theory with hands-on experience.
reinforcement-learning exploratory-data-analysis models machine-learning-algorithms regression data-acquisition data-visualization feature-extraction supervised-learning classification feature-engineering unsupervised-learning evaluation-metrics clustering-algorithm time-series-analysis handling-missing-value handling-outlier business-problem data-preprocessing-and-cleaning
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Jun 28, 2024 - Jupyter Notebook
An analysis of house prices in Beijing
time-series time-series-analysis house-price-prediction price-prediction time-series-forecasting house-prices price-analysis house-price-analysis handling-missing-value handling-outlier
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Apr 24, 2024 - Jupyter Notebook
Welcome to the FIFA Dataset Data Cleaning and Transformation project! This initiative focuses on refining and enhancing the FIFA dataset to ensure it is well-prepared for in-depth analysis. The project involves a comprehensive data cleaning process and transformation of key features to improve data quality and usability.
python numpy data-transformation pandas feature-engineering data-cleaning fifa one-hot-encoding fifa-dataset clean-dataset handling-missing-value data-cleaning-and-preprocessing handling-duplicate-values prepare-for-analysis
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Nov 22, 2023 - Jupyter Notebook
Data Set: House Prices: Advanced Regression Techniques Feature Engineering with 80+ Features
data-science data-transformation missing-values log-transformation label-encoding minmaxscaling handling-missing-value
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Sep 20, 2022 - Jupyter Notebook
Exploratory Data Analysis and Data Preprocessing on Marketing dataset. Domain - Retail Marketing
python pandas data-visualization seaborn data-analysis data-cleaning bivariate-analysis univariate-analysis handling-missing-value
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May 11, 2023 - Jupyter Notebook
🌟 Machine Learning Internship Cognifyz Technologies This repository highlights my work during the Machine Learning Internship at Cognifyz. It features real-world projects like restaurant rating prediction, recommendation systems, cuisine classification, and location-based analysis. 🚀
numpy machine-learning-algorithms regression pandas feature-selection classification recommendation-system geographical-analysis preprocessing-data handling-missing-value
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Apr 28, 2025 - Jupyter Notebook
The project provides Four Tasks which is given by Cognifyz Technology.
numpy machine-learning-algorithms regression pandas feature-selection classification recommendation-system geographical-analysis preprocessing-data handling-missing-value
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Feb 10, 2024 - Jupyter Notebook
This is the curated pile of notebooks/small projects which contains linear and non-linear regression models.
linear-regression eda data-visualization feature-selection scaling feature-engineering pearson-correlation datacleansing nonlinear-regression randomforestregressor handling-missing-value
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Apr 4, 2021 - Jupyter Notebook
End-to-end movie recommendation system using ML, data analysis, NLTK, CountVectorizer, cosine similarity, and TMDB API. Deployed with Streamlit.
python api data-science machine-learning-algorithms web-scraping cosine-similarity data-cleaning dataanalysis handling-missing-value
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Feb 16, 2024 - Jupyter Notebook
Techniques to Explore the Data
outliers-detection handling-missing-value dealing-with-categorical-feature different-types-of-scaling
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Dec 1, 2020 - Jupyter Notebook
The Titanic classification problem involves predicting whether a passenger on the Titanic survived or not, based on various features available about each passenger. The sinking of the Titanic in 1912 is one of the most infamous maritime disasters in history, and this dataset has been widely used as a benchmark for predictive modeling.
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Aug 17, 2023 - Python
In this notebook, i show a examples to implement imputation methods for handling missing values.
python data-science mean imputation missing-data median missing-values knn-algorithm imputation-methods filling-null-values handling-missing-value
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Jun 23, 2021 - Jupyter Notebook
An comprehensive data analysis of a particular market and its customers.
customer-retention market-segmentation customer-segmentation retention-rate target-marketing retention-analysis preprocessing-data handling-missing-value customer-retention-analysis handling-outlier customer-value-optimization customer-retention-strategies
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Mar 4, 2024 - Jupyter Notebook
This repository contains pre-requisite notebooks of Data Cleaning work for my internship as a Machine Learning Application Developer at Technocolabs.
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Dec 11, 2021 - Jupyter Notebook
Exploratory Data Analysis - Using Python to find correlation between features
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Nov 5, 2023 - Jupyter Notebook
Implemented and compared various machine learning algorithms and visualizations on the World Population 2024 dataset to identify the most efficient predictive model. Additionally, evaluated model accuracy using different methods to ensure prediction reliability and precision.
linear-regression exploratory-data-analysis data-visualization decision-tree-regression correlation-analysis random-forest-regression cleaning-data handling-missing-value svr-regression-prediction
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Aug 6, 2024 - Jupyter Notebook
python exploratory-data-analysis seaborn matplotlib numpy-library pandas-library feature-encoding handling-missing-value handling-outlier handling-duplicate-values
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Jan 10, 2024 - Jupyter Notebook
This repository contains resources and code examples related to Feature Engineering and Exploratory Data Analysis (EDA) techniques in the field of data science and machine learning.
exploratory-data-analysis eda feature-engineering imbalanced-data feature-scaling data-encoding handling-missing-value data-interpolation handling-outlier
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Feb 29, 2024 - Jupyter Notebook
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