lcamposgarrido / data-science_projects

Data Science Projects Repository

Data Science Projects Repository

These projects aim to solve real world problems through data mining techniques. The mission is to make accurate predictions of expected outputs applying machine learning algorithms. Software posted in the repository includes both results and drafts of my projects. Therefore, no warranties or conditions of any kind are offered.

For any question, please email me at [email protected] Luis Campos Garrido 2016

data-science_projects's Issues

ValueError: Invalid parameters

I am getting ValueError: Invalid Parameters when the grid_data list is used to input parameters for the different scikit estimators. The first row, for instance, which is used for the GaussianNB() estimator contains 'degree' and 'C' which are not valid parameters. How were others able to make this work?

Alpha Vantage API changed

Some things have changed in the Alpha Vantage api. fi. 'close' is now '4. close' etc. I tried to fix issues, but could not fix all. Could you please update the code.

Stuck on error: Found array with 0 sample(s) (shape=(0, 21)) while a minimum of 1 is required

Traceback (most recent call last):
File "F:\Develop\Stock LSTM\Stock SVM\predict.py", line 151, in
scores(models, X_test, y_test)
File "F:\Develop\Stock LSTM\Stock SVM\predict.py", line 110, in scores
y_pred = model.predict(X)
File "F:\Python27\lib\site-packages\sklearn\naive_bayes.py", line 66, in predict
jll = self._joint_log_likelihood(X)
File "F:\Python27\lib\site-packages\sklearn\naive_bayes.py", line 428, in _joint_log_likelihood
X = check_array(X)
File "F:\Python27\lib\site-packages\sklearn\utils\validation.py", line 462, in check_array
context))
ValueError: Found array with 0 sample(s) (shape=(0, 21)) while a minimum of 1 is required.

Great demo (hide your API key)

Thanks for sharing your code,
Just a side comment, you might want to hide your Alpha Vantage API key, I know it's free but it should be kept private.