Reenable files when TensorFlow supports the current Python (#11318)

* Remove python_version < '3.12' for tensorflow

* Reenable dynamic_programming/k_means_clustering_tensorflow.py

* updating DIRECTORY.md

* Try to fix ruff

* Try to fix ruff

* Try to fix ruff

* Try to fix ruff

* Try to fix ruff

* Reenable machine_learning/lstm/lstm_prediction.py

* updating DIRECTORY.md

* Try to fix ruff

* Reenable computer_vision/cnn_classification.py

* updating DIRECTORY.md

* Reenable neural_network/input_data.py

* updating DIRECTORY.md

* Try to fix ruff

* Try to fix ruff

* Try to fix mypy

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Try to fix ruff

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

---------

Co-authored-by: MaximSmolskiy <MaximSmolskiy@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

machine_learning/lstm/lstm_prediction.py

@@ -17,11 +17,11 @@ if __name__ == "__main__":
     make sure you set the price column on line number 21.  Here we
     use a dataset which have the price on 3rd column.
     """
-    df = pd.read_csv("sample_data.csv", header=None)
-    len_data = df.shape[:1][0]
+    sample_data = pd.read_csv("sample_data.csv", header=None)
+    len_data = sample_data.shape[:1][0]
     # If you're using some other dataset input the target column
-    actual_data = df.iloc[:, 1:2]
-    actual_data = actual_data.values.reshape(len_data, 1)
+    actual_data = sample_data.iloc[:, 1:2]
+    actual_data = actual_data.to_numpy().reshape(len_data, 1)
     actual_data = MinMaxScaler().fit_transform(actual_data)
     look_back = 10
     forward_days = 5