[Python] Getting this error when trying to fit my pipeline: TypeError: fit() missing 1...

I'm trying to fit my data using my pipeline but I get the mentioned error (TypeError: fit() missing 1 required positional argument: 'X')

This is the code:

normalizer = Normalizer()
kmeans = KMeans(n_clusters=10)

steps = [('Normalizer', normalizer), ('KMeans', kmeans)]

pipeline = Pipeline(steps)
pipeline = Pipeline.fit(X)

labels_companies = pipeline.predict(X)


However, when I use make_pipeline it just works perfectly.

normalizer = Normalizer()
kmeans = KMeans(n_clusters=10)

pipeline = make_pipeline(normalizer, kmeans)
pipeline = pipeline.fit(X)

labels_companies = pipeline.predict(X)


What am I missing? I don't understand why I'm getting this error!

X is a df with shape (60, 963)

• I tried using .fit_transform but the predictions are just wrong.
• I looked into sklearn documentation but everything seems to be according to syntaxis.

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