Feature Engineering with Python
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Updated
Sep 25, 2024 - Jupyter Notebook
Feature Engineering with Python
Credit Card Fraud Detection Using SQL
Collection of Python scripts to perform various statistical analyses
Data pre-processing of time-series dataset and statistical analysis using IQR, handling null values, removing outliers etc.
A Python Based Library to Calculate Statistical Estimators (Sn, Qn, MAD, IQR)
This repository contains a project using the Iris dataset for data visualization, outlier detection, normalization, and classification. The project includes models like GaussianNB, RandomForestClassifier, and DecisionTreeClassifier, with hyperparameter tuning and PCA for dimensionality reduction.
simple IQR & Z-score normalization script
Data Science Foundations I | Exploratory Data Analysis in Python | Summarizing Single Feature
Statistics for Data Analysis | Quartiles, Quantiles and Interquartile Range
Outlier detection (z-score and IQR) and visualization on Geolife dataset for transport mode detection task
Métodos para extração de outliers
Here includes my SQL journey from beginning and any further progress
Classification problem using multiple ML Algorithms
Tidy anomaly detection
Uma anΓ‘lise exploratΓ³ria dos dados do airbnb sobre a cidade de Vancouver. Limpeza de dados, anΓ‘lises estatΓsticas, mapas interativos.
π Master Microsoft Excel for Data Analysis and Data Science with ready-to-use tools, templates, and expert tips. Join us in unleashing the power of data! πΌππ
Description of outliers
This repository contains the source code for Statistics.JS.
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