questions/machine-learning

Hi @Vikas, there are 5 simple steps ...READ MORE

To install tensorflow you need to have ...READ MORE

Hey! There are two main languages that ...READ MORE

While using Markov chain, is it possible ...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

Make the following changes in your script, ...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

I have an assignment of Making a ...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

def dense_layers(sizes): return tfk.Sequential([tfkl.Dense(size, ...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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