tkrabel /
edaviz
edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
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sabyasachi008 / repository
**Exploratory Data Analysis (EDA) for Customer Segmentation**: A Jupyter Notebook repository performing EDA on a customer dataset using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn for data loading, cleaning, preprocessing, clustering, evaluation, and visualization.
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tkrabel /
edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
59/100 healthCoenMeintjes /
A comprehensive collection of Jupyter Notebook templates for data science tasks, developed to improve workflow efficiency and cover a wide range of topics, including exploratory data analysis, hypothesis testing, regression models, and machine learning models.
61/100 healthrajchandran006-ops /
RFD Classification Machine Learning project developed using Python and Jupyter Notebook. This project includes data preprocessing, exploratory data analysis, feature engineering, and implementation of multiple classification algorithms such as Logistic Regression, Random Forest, SVM, KNN, and Naive Bayes for prediction and accuracy evaluation.
roshankoirala /
Implementation of Spark code in Jupyter notebook. Topics include: RDDs and DataFrame, exploratory data analysis (EDA), handling multiple DataFrames, visualization, Machine Learning
39/100 healthanitagraser /
Step-by-step exploratory movement data analysis protocol in a Jupyter notebook
54/100 healthThis repository contains a collection of Jupyter Notebooks for conducting Exploratory Data Analysis (EDA) and Statistical Analysis on various datasets.
68/100 health