from sklearn import preprocessing
btc.dropna(inplace=True)
X=btc.drop('Price_After_Month',axis=1)
X=preprocessing.scale(X)
y=btc['Price_After_Month']

Error:
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-48-fa0b50790240> in <module>()
      2 btc.dropna(inplace=True)
      3 X=btc.drop('Price_After_Month',axis=1)
----> 4 X=preprocessing.scale(X)
      5 y=btc['Price_After_Month']

~/.local/lib/python3.5/site-packages/sklearn/preprocessing/data.py in scale(X, axis, with_mean, with_std, copy)
    131     X = check_array(X, accept_sparse='csc', copy=copy, ensure_2d=False,
    132                     warn_on_dtype=True, estimator='the scale function',
--> 133                     dtype=FLOAT_DTYPES)
    134     if sparse.issparse(X):
    135         if with_mean:

~/.local/lib/python3.5/site-packages/sklearn/utils/validation.py in check_array(array, accept_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, warn_on_dtype, estimator)
    431                                       force_all_finite)
    432     else:
--> 433         array = np.array(array, dtype=dtype, order=order, copy=copy)
    434 
    435         if ensure_2d:

ValueError: could not convert string to float: 'bitcoin'

(Jun-14-2018, 07:31 AM)DeaD_EyE Wrote: Please use Code Tags.
You can edit your post.