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Pokemon_Explorer_using_GNB_RF_LR
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Ci-Dave commited on
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f76f9ad
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1 Parent(s): bc7a0fc

Changes

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Files changed (6) hide show
  1. app.py +4 -3
  2. pokemon data/logistic_regression.pkl → logistic_regression.pkl +0 -0
  3. pokemon data/naive_bayes.pkl → naive_bayes.pkl +0 -0
  4. pokemon/pokemon.ipynb +0 -0
  5. pokemon data/pokemon_cleaned.csv → pokemon_cleaned.csv +0 -0
  6. pokemon data/random_forest.pkl → random_forest.pkl +0 -0
app.py CHANGED
@@ -10,13 +10,14 @@ import seaborn as sns
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  # Load dataset
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  @st.cache_data
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  def load_data():
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- return pd.read_csv(r"C:\Users\ACER\Desktop\Feature_Prediction_of_Pokemon\pokemon data\pokemon_cleaned.csv")
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  df = load_data()
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  # Load machine learning models (if any)
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- model = joblib.load(r"C:\Users\ACER\Desktop\Feature_Prediction_of_Pokemon\pokemon data\random_forest.pkl") # Uncomment if using a model
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-
 
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  # Sidebar Navigation
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  st.sidebar.title("🔍 Pokémon Explorer")
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  st.sidebar.markdown("Navigate through different sections!")
 
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  # Load dataset
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  @st.cache_data
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  def load_data():
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+ return pd.read_csv(r"C:\Users\ACER\Desktop\Feature_Prediction_of_Pokemon\pokemon_cleaned.csv")
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  df = load_data()
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  # Load machine learning models (if any)
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+ model = joblib.load(r"C:\Users\ACER\Desktop\Feature_Prediction_of_Pokemon\random_forest.pkl")
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+ model = joblib.load(r"C:\Users\ACER\Desktop\Feature_Prediction_of_Pokemon\logistic_regression.pkl")
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+ model = joblib.load(r"C:\Users\ACER\Desktop\Feature_Prediction_of_Pokemon\naive_bayes.pkl")
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  # Sidebar Navigation
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  st.sidebar.title("🔍 Pokémon Explorer")
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  st.sidebar.markdown("Navigate through different sections!")
pokemon data/logistic_regression.pkl → logistic_regression.pkl RENAMED
File without changes
pokemon data/naive_bayes.pkl → naive_bayes.pkl RENAMED
File without changes
pokemon/pokemon.ipynb DELETED
The diff for this file is too large to render. See raw diff
 
pokemon data/pokemon_cleaned.csv → pokemon_cleaned.csv RENAMED
File without changes
pokemon data/random_forest.pkl → random_forest.pkl RENAMED
File without changes