Python vs R for machine learning - Data Science Stack Exchange
2014年6月12日 · Some real important differences to consider when you are choosing R or Python over one another: Machine Learning has 2 phases. Model Building and Prediction phase. Typically, model building is performed as a batch process and predictions are done realtime. The model building process is a compute intensive process while the prediction happens in ...
Best practices to store Python machine learning models
Importing the model on another machine might not work if the python environment slightly differs. When pushing a model in production, I need 1) a version of the model that I can load fast in case of a server breakdown (typically a binary format, storing only what is necessary such as weights of a neural network) and 2) a way to keep the model ...
machine learning - How can I check the correlation between …
Now using some machine learning on this data is not likely to work. There just is not sufficient data to extract some relevant information between your large number of features and the loan amount. You need at at least 10 times more instances than features in order to expect to get some good results.
machine learning - How to train ML model with multiple variables ...
2018年10月2日 · However, if you want to be able to estimate a cost given your input features which are city, store, units_sold and num_employees then this problem setup is very standard in machine learning. First I will put your data into a pandas DataFrame and I will encode your categorical features using numerical values.
python - How to apply machine learning model to new dataset
I'm very new to machine learning & python in general and I'm trying to apply a Decision Tree Classifier to my dataset that I'm working on. I would like to use this model to predict the outcome after training it with certain cellular features. The training data consists of a results column, describing either a living/dead cell as 1 and 0 ...
Do I need to convert booleans to ints to enter them in a machine ...
2018年12月11日 · In Python, True and False are cast implicitly into integers: True == 1 # True! False == 0 # True! Although they are not the same objects - you can test this with True is 1, which returns False. This means that an algorithm running in …
python - What do x and y mean when working with data in the …
2021年12月14日 · X and y. X is a matrix of the features values, each column being one feature, and being known values. Each column of X is an independant variable.
Python: Handling imbalance Classes in python Machine Learning
2016年4月25日 · I tried for in-built python algorithms like Adaboost, GradientBoost techniques using sklearn. I read these algorithms are for handling imbalance class. AdaBoost gives better results for class imbalance when you initialize the weight distribution with imbalance in mind.
python - What is a batch in machine learning? - Data Science …
What does batch applied for? I'm only familiar with feeding one-hot word representation vector and can't understand LSTM learning process with batches. Please explain in terms of text processing. Thanks in advance.
How to handle large number of features in machine learning?
$\begingroup$ In my opinion, this is a big problem: "R/Python-pandas are sometimes wrongly recognized the numeric/categorical nature of some variables". If you cannot even specify correctly whether variables are numeric or categorical, then I don't see how you can expect any automatic algorithm to help you.