Create README.md

Author: Archi20876

Classification Models/Spatial clustering and hot spot analysis/README.md

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+# **Spatial Clustering and Hot Spot Analysis** 🍅
+
+### 🎯 Goal
+
+"To identify spatial clusters and statistically significant hot spots in geographical data, enabling the detection of patterns, trends, and anomalies for informed decision-making.
+
+### 🧵 Dataset :  [LINK](https://github.com/Archi20876/machine-learning-repos/blob/main/Classification%20Models/Spatial%20clustering%20and%20hot%20spot%20analysis/synthetic_spatial_data.csv)
+
+
+### 🧾 Description
+Spatial Cluster and Hot Spot Analysis are techniques used in geographic information systems (GIS) and spatial data analysis to identify patterns, concentrations, or anomalies in spatial data.
+
+### 📚 Libraries Needed
+- pandas
+- numpy
+- geopandas
+- shapely.geometry.Point
+- sklearn.cluster.DBSCAN
+- esda.getisord.G
+- libpysal.weights.DistanceBand
+- matplotlib.pyplot
+
+
+## EDA Result 👉 [  Spatial Cluster and Hot Spot Analysis.ipynb](https://github.com/Archi20876/machine-learning-repos/blob/main/Classification%20Models/Spatial%20clustering%20and%20hot%20spot%20analysis/Spatial_clustering_and_hot_spot_analysis_.ipynb)