diff --git a/poetry.lock b/poetry.lock
index 471e74279..5a7ff96a2 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -819,14 +819,14 @@ typing-inspect = ">=0.4.0,<1"
 
 [[package]]
 name = "dataprep-ml"
-version = "24.5.1.0"
+version = "24.5.1.1"
 description = "Automated dataframe analysis for Machine Learning pipelines."
 category = "main"
 optional = false
 python-versions = "<3.12,>=3.8"
 files = [
-    {file = "dataprep_ml-24.5.1.0-py3-none-any.whl", hash = "sha256:3280c9e9cab819404f7ca352501cee0743788ce2aba5bc96dbcdd07eac45f9af"},
-    {file = "dataprep_ml-24.5.1.0.tar.gz", hash = "sha256:3cb522d21574ec23305ba5c19213b09604be7612b71095061c7adfed305e7c26"},
+    {file = "dataprep_ml-24.5.1.1-py3-none-any.whl", hash = "sha256:7b080e2db524a9d372fb50329c04956de1c3074e577ce507d7103e90d65230eb"},
+    {file = "dataprep_ml-24.5.1.1.tar.gz", hash = "sha256:b5ab8af4f43413cef5814033a795c64bcea35e8517d2f76ffea95b18c488991f"},
 ]
 
 [package.dependencies]
@@ -2107,14 +2107,14 @@ source = ["Cython (>=3.0.10)"]
 
 [[package]]
 name = "mako"
-version = "1.3.3"
+version = "1.3.5"
 description = "A super-fast templating language that borrows the best ideas from the existing templating languages."
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "Mako-1.3.3.tar.gz", hash = "sha256:e16c01d9ab9c11f7290eef1cfefc093fb5a45ee4a3da09e2fec2e4d1bae54e73"},
+    {file = "Mako-1.3.5-py3-none-any.whl", hash = "sha256:260f1dbc3a519453a9c856dedfe4beb4e50bd5a26d96386cb6c80856556bb91a"},
+    {file = "Mako-1.3.5.tar.gz", hash = "sha256:48dbc20568c1d276a2698b36d968fa76161bf127194907ea6fc594fa81f943bc"},
 ]
 
 [package.dependencies]
@@ -3150,23 +3150,23 @@ files = [
 
 [[package]]
 name = "polars"
-version = "0.20.25"
+version = "0.20.26"
 description = "Blazingly fast DataFrame library"
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "polars-0.20.26-cp38-abi3-win_amd64.whl", hash = "sha256:b22063acc815bc5c6d2e24292ff771ca0df306ecf97e8f6899924a1ec6d3f136"},
+    {file = "polars-0.20.26.tar.gz", hash = "sha256:fa83d130562a5180a47f8763a7bb9f408dbbf51eafc1380e8a2951be8ce05a2c"},
 ]
 
 [package.extras]
 adbc = ["adbc-driver-manager", "adbc-driver-sqlite"]
-all = ["polars[adbc,async,cloudpickle,connectorx,deltalake,fastexcel,fsspec,gevent,numpy,pandas,plot,pyarrow,pydantic,pyiceberg,sqlalchemy,timezone,torch,xlsx2csv,xlsxwriter]"]
+all = ["polars[adbc,async,cloudpickle,connectorx,deltalake,fastexcel,fsspec,gevent,iceberg,numpy,pandas,plot,pyarrow,pydantic,sqlalchemy,timezone,torch,xlsx2csv,xlsxwriter]"]
 async = ["nest-asyncio"]
 cloudpickle = ["cloudpickle"]
 connectorx = ["connectorx (>=0.3.2)"]
@@ -3174,6 +3174,7 @@ deltalake = ["deltalake (>=0.15.0)"]
 fastexcel = ["fastexcel (>=0.9)"]
 fsspec = ["fsspec"]
 gevent = ["gevent"]
+iceberg = ["pyiceberg (>=0.5.0)"]
 matplotlib = ["matplotlib"]
 numpy = ["numpy (>=1.16.0)"]
 openpyxl = ["openpyxl (>=3.0.0)"]
@@ -3181,7 +3182,6 @@ pandas = ["pandas", "pyarrow (>=7.0.0)"]
 plot = ["hvplot (>=0.9.1)"]
 pyarrow = ["pyarrow (>=7.0.0)"]
 pydantic = ["pydantic"]
-pyiceberg = ["pyiceberg (>=0.5.0)"]
 pyxlsb = ["pyxlsb (>=1.0)"]
 sqlalchemy = ["pandas", "sqlalchemy"]
 timezone = ["backports-zoneinfo", "tzdata"]
@@ -3331,48 +3331,48 @@ numpy = "*"
 
 [[package]]
 name = "pyarrow"
-version = "16.0.0"
+version = "16.1.0"
 description = "Python library for Apache Arrow"
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "pyarrow-16.1.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:99f7549779b6e434467d2aa43ab2b7224dd9e41bdde486020bae198978c9e05e"},
+    {file = "pyarrow-16.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f07fdffe4fd5b15f5ec15c8b64584868d063bc22b86b46c9695624ca3505b7b4"},
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+    {file = "pyarrow-16.1.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:3b20bd67c94b3a2ea0a749d2a5712fc845a69cb5d52e78e6449bbd295611f3aa"},
+    {file = "pyarrow-16.1.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:ba8ac20693c0bb0bf4b238751d4409e62852004a8cf031c73b0e0962b03e45e3"},
+    {file = "pyarrow-16.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:31a1851751433d89a986616015841977e0a188662fcffd1a5677453f1df2de0a"},
+    {file = "pyarrow-16.1.0.tar.gz", hash = "sha256:15fbb22ea96d11f0b5768504a3f961edab25eaf4197c341720c4a387f6c60315"},
 ]
 
 [package.dependencies]
@@ -5997,4 +5997,4 @@ xai = ["pyod", "shap", "suod"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<3.12"
-content-hash = "883d529dc620932b61ca70393045aa7cbeb54fa0e45ab3f637f5bc22ce509a85"
+content-hash = "9dc16289cde080a6d4776d570bf7d299d79f4125cba2e05b5df6604480490eef"
diff --git a/pyproject.toml b/pyproject.toml
index f0065a609..cff03d164 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -13,7 +13,7 @@ readme = "README.md"
 [tool.poetry.dependencies]
 python = ">=3.8.1,<3.12"
 type_infer = ">=0.0.15"
-dataprep_ml = ">=24.5.1.0,<24.6.1.0"
+dataprep_ml = ">=24.5.1.1,<24.6.1.0"
 mindsdb-evaluator = ">=0.0.13"
 numpy = ">1.23.0"
 nltk = ">=3.8, <3.9"