Machine Learning

Using real estate data as an example

Search Anomaly

Data Science Statistics Pandas

Upload a CSV file and detect numerical anomalies using robust statistical methods like IQR, Chauvenet's criterion, and Sigma rules.

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Feature Influence Analysis

Data Science Machine Learning Random Forest

Analyze the influence of features (e.g., apartments) on their final price using a Random Forest model.

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Regression Geo

Data Science Machine Learning Clustering Random Forest

Analyze the price of real estate, identify hotspots through coordinate clustering and regression model evaluation.

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Seasonality Analysis

Data Science Time Series Pandas

Analyze market dynamics and seasonality of real estate prices over time.

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Clusterisation

Data Science Machine Learning Clustering K-Means

Segment real estate listings using the K-means algorithm to identify groups of objects on the basis of their characteristics.

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Restoring Passes

Data Science Data Cleaning Imputation

Upload a CSV file and restore missing values using various methods (mean, median, mode, nearest neighbor, correlation).

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