Update README.md

Author: Archi20876

Classification Models/Mushroom Classification Model/README.md

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+# **Mushroom Classificatfion Model** 🍄
+
+### 🎯 Goal
+To develop and evaluate a machine learning model that accurately classifies mushrooms as edible or poisonous based on their physical characteristics.
+
+### 🧵 Dataset :  [LINK](https://1drv.ms/x/c/64CA0463A0426356/EaArtcNH2YVAnhGowl_QgSoBJ1lD4gWxfxO4fyKMYY7gDw?e=dppRej)
+
+### 🧾 Description
+A mushroom classification model is a machine learning system designed to identify and categorize mushrooms based on their physical characteristics. The model aims to determine whether a mushroom is edible or poisonous by analyzing features such as cap shape, color, gill size, stem texture, and spore print color.
+
+### 📚 Libraries Needed
+- numpy
+- pandas
+- seaborn
+- matplotlib.pyplot
+- sklearn.model_selection.train_test_split
+- sklearn.preprocessing.OneHotEncoder
+- sklearn.preprocessing.LabelEncoder
+- sklearn.neighbors.KNeighborsClassifier
+- sklearn.ensemble.RandomForestClassifier
+- sklearn.metrics.accuracy_score
+- sklearn.metrics.classification_report
+- sklearn.metrics.confusion_matrix
+
+## EDA Result 👉 [  Mushroom Classification.ipynb](https://github.com/Archi20876/machine-learning-repos/blob/main/Classification%20Models/Mushroom%20Classification%20Model/Mushroom%20Classification%20Model.ipynb)