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cap
  • Member for 9 years, 10 months
  • Last seen more than 2 years ago
3 votes

Training and test split for time series analysis

3 votes

What's the best way to approach a regression problem with a lot of features (over 300), many of which are categorical?

3 votes

Big difference in randomTree accuracy with train and test sets

3 votes
Accepted

What do you call the ratio of positive to negative samples?

2 votes

Types of Machine Learning/Data Analysis

2 votes

Low accuracy in multi-class classification despite all data being generated from rules

2 votes
Accepted

Doubt on retrieving tweets for sentiment analysis?

1 vote

How to use a one-hot encoded nominal feature in a classifier in Scikit Learn?

1 vote

classification performance metric for high risk medical decisions

1 vote

How to display an Heat Map (using Tableau or other BI tool)?

1 vote

Create a new column in Pandas Dataframe based on the 'NaN' values in another column

1 vote

How do you predict a continuous variable when all your independent variables are categorical

1 vote
Accepted

Logistic regression threshold value

1 vote

How to find whether a dataset is blanced or imbalanced?

0 votes

What is the minimum requirement for the dataset for time series forecasting?

0 votes

Visualization for comparing the results of two different models

0 votes

Is ARIMA appropriate for time series prediction involving a mix of explanatory and independent variables?

0 votes

How do I use TF*IDF scores for my machine learning model?

-1 votes

Visualizing decision tree with feature names