questions/machine-learning
Data mining research mainly revolves around gathering ...READ MORE
Hi@Usman, It seems you are using an older ...READ MORE
Hi @Vikas, there are 5 simple steps ...READ MORE
if testSet[x][-1] is predictions[x]: change it to if ...READ MORE
To install tensorflow you need to have ...READ MORE
Hey! There are two main languages that ...READ MORE
Hey @Greg, this is possible. You can ...READ MORE
Use higher-precision floats, if available on your ...READ MORE
You have to use the tuples from ...READ MORE
Try something like this @Gujjar HashMap<String, int> wordCount; int ...READ MORE
Hey, look at your code's second last ...READ MORE
The logic here is simple. Apply Markov Property ...READ MORE
With machine learning and analysis, its always ...READ MORE
Hey @Ruth, you can use this model ...READ MORE
The predict() function returns a plain numpy ...READ MORE
Hi Vishal, you could try something like ...READ MORE
Try this: import numpy as np from matplotlib import ...READ MORE
Have a look at this one, It's ...READ MORE
Isotonic regression builds an increasing approximation of ...READ MORE
Hi@Kim, You can use the train_test_split function to ...READ MORE
Hey! Your array shapes seem inconsistent. Try ...READ MORE
Assuming X_test is a pandas dataframe, you ...READ MORE
Use the following code: from scipy import stats slope, ...READ MORE
Rolling regression is the analysis of changing ...READ MORE
Try something like this: df.values array([[nan, 0.2, nan], ...READ MORE
You can read excel files df = pd.read_excel(...) You ...READ MORE
Yes, you can do this using statsmodels: import ...READ MORE
Hey @Vivek, Try something like this: >>> from ...READ MORE
LassoLars is a lasso model implemented using ...READ MORE
Hey @Tanmay, try something like this: >>> from ...READ MORE
Hey @Nipun, you can try something like ...READ MORE
You can use sklearn.linear_model.LinearRegression. Something like this: from ...READ MORE
Gini Index is a metric to measure ...READ MORE
You can use information gain to decide ...READ MORE
If you have a dataset that consists ...READ MORE
The KNN algorithm has the following features: KNN ...READ MORE
KNN which stand for K Nearest Neighbor ...READ MORE
“Greedy Approach is based on the concept ...READ MORE
Let us consider the following example. Suppose a ...READ MORE
Even though the decision tree algorithm has ...READ MORE
These are the advantages of using a ...READ MORE
Hey! Try this: # Run this program on ...READ MORE
A decision tree is a map of ...READ MORE
Have a look at this: import csv import ...READ MORE
There are three main types of logistic ...READ MORE
Of course, your model is retrainable, in ...READ MORE
Let me explain the process of prediction ...READ MORE
Correlation is a statistical measure that shows ...READ MORE
There are three types of regressions: Linear regression: Linear ...READ MORE
These are the clustering algorithms that are ...READ MORE
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