Most voted questions in Machine Learning

0 votes
1 answer

When do I use simple exponential smoothing and what is the math behind it?

Hey @Ruth, you can use this model ...READ MORE

Aug 1, 2019 in Machine Learning by Ashish
 • 1,425 views
0 votes
0 answers

I am familiar with goggle Colabs environment so, only pycharm environment is allowed for data science hackathon or any environment is allowed ?

Jul 28, 2019 in Machine Learning by anonymous
 • 662 views
0 votes
1 answer

How to compare expected and predicted values?

The predict() function returns a plain numpy ...READ MORE

Jul 14, 2019 in Machine Learning by Tina
 • 13,867 views
0 votes
1 answer

Checking spectral co-clustering also accuracy

Hi Vishal, you could try something like ...READ MORE

Jun 3, 2019 in Machine Learning by Yamini
 • 1,256 views
0 votes
1 answer

Generate an array with constant block diagonal structure for biclustering.

Try this: import numpy as np from matplotlib import ...READ MORE

Jun 3, 2019 in Machine Learning by Vishal
 • 845 views
0 votes
1 answer

Can you give an example for isotonic regression?

Have a look at this one, It's ...READ MORE

Jun 3, 2019 in Machine Learning by Mihir
 • 2,559 views
0 votes
1 answer

What is Isotonic regression?

Isotonic regression builds an increasing approximation of ...READ MORE

Jun 3, 2019 in Machine Learning by Mohit
 • 2,090 views
0 votes
1 answer

Train-test split with 20% of data set aside - ML

Hi@Kim, You can use the train_test_split function to ...READ MORE

Jul 19, 2020 in Machine Learning by MD
 • 95,460 points • 1,316 views
0 votes
1 answer

Lear regression using python error - ValueError: operands could not be broadcast together with shapes (1,3) (1,2)

Hey! Your array shapes seem inconsistent. Try ...READ MORE

May 24, 2019 in Machine Learning by Vaishu
 • 3,425 views
0 votes
1 answer

ValueError: Input contains NaN, infinity or a value too large for dtype('float32')

Assuming X_test is a pandas dataframe, you ...READ MORE

May 23, 2019 in Machine Learning by Maya
 • 9,730 views
0 votes
1 answer

Python script for linear regression on panda dataframe

Use the following code: from scipy import stats slope, ...READ MORE

May 23, 2019 in Machine Learning by Imran
 • 2,243 views
0 votes
1 answer

What is rolling linear regression?

Rolling regression is the analysis of changing ...READ MORE

May 23, 2019 in Machine Learning by Jinu
 • 2,557 views
0 votes
1 answer

How do I convert a pandas dataframe to a numpy array using python?

Try something like this: df.values array([[nan, 0.2, nan], ...READ MORE

May 23, 2019 in Machine Learning by Krishti
 • 2,298 views
0 votes
1 answer

Create dataframe using Pandas - Linear Regression

You can read excel files df = pd.read_excel(...) You ...READ MORE

May 23, 2019 in Machine Learning by Neha
 • 2,411 views
0 votes
1 answer

Ignore the NaN and do the linear regression on remaining values

Yes, you can do this using statsmodels: import ...READ MORE

May 22, 2019 in Machine Learning by Hari
 • 16,392 views
0 votes
1 answer

Can you give LassoLars python example?

Hey @Vivek, Try something like this: >>> from ...READ MORE

May 22, 2019 in Machine Learning by Tanmay
 • 1,397 views
0 votes
1 answer

What is LassoLars? - Linear regression

LassoLars is a lasso model implemented using ...READ MORE

May 22, 2019 in Machine Learning by Basu
 • 2,719 views
0 votes
1 answer

Show python implementation of Lasso class - regression

Hey @Tanmay, try something like this: >>> from ...READ MORE

May 22, 2019 in Machine Learning by Vedant
 • 1,231 views
0 votes
1 answer

Ridge Regression Example

Hey @Nipun, you can try something like ...READ MORE

May 22, 2019 in Machine Learning by Umer
 • 1,144 views
0 votes
1 answer

Are there any python libraries that do multiple regressions?

You can use sklearn.linear_model.LinearRegression. Something like this: from ...READ MORE

May 22, 2019 in Machine Learning by Vinay
 • 1,234 views
0 votes
0 answers

Hello I have some errors while implementing variational autoencoder

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

May 19, 2019 in Machine Learning by anonymous
edited May 20, 2019 by Omkar • 1,559 views
0 votes
1 answer

What is Gini Index in decision tree

Gini Index is a metric to measure ...READ MORE

May 14, 2019 in Machine Learning by Raj
 • 2,649 views
0 votes
1 answer

What is information gain? - Decision tree algo

You can use information gain to decide ...READ MORE

May 14, 2019 in Machine Learning by Raj
 • 2,709 views
0 votes
1 answer

Attribute selection in Decision tree Algorithm

If you have a dataset that consists ...READ MORE

May 14, 2019 in Machine Learning by Raj
 • 3,266 views
0 votes
1 answer

Features of KNN algorithm

The KNN algorithm has the following features: KNN ...READ MORE

May 13, 2019 in Machine Learning by Vedant
 • 9,038 views
0 votes
1 answer

What is KNN algorithm?

KNN which stand for K Nearest Neighbor ...READ MORE

May 13, 2019 in Machine Learning by Jinu
 • 2,579 views
0 votes
1 answer

What is greedy approach in Decision tree algorithm?

“Greedy Approach is based on the concept ...READ MORE

May 13, 2019 in Machine Learning by Upadhya
 • 15,493 views
0 votes
1 answer

How do I create a decision tree?

Let us consider the following example. Suppose a ...READ MORE

May 13, 2019 in Machine Learning by Fatima
 • 1,116 views
0 votes
1 answer

Disadvantages of using decision tree?

Even though the decision tree algorithm has ...READ MORE

May 13, 2019 in Machine Learning by Jinu
 • 5,053 views
0 votes
1 answer

Advantages of using decision tree?

These are the advantages of using a ...READ MORE

May 13, 2019 in Machine Learning by Mahima
 • 4,455 views
0 votes
1 answer

Python code for executing decision tree algorithm

Hey! Try this: # Run this program on ...READ MORE

May 13, 2019 in Machine Learning by Haseeb
 • 3,805 views
0 votes
1 answer

What is decision tree algorithm?

A decision tree is a map of ...READ MORE

May 13, 2019 in Machine Learning by Upadhya
 • 2,826 views
0 votes
1 answer

Example of Logistic regression with python code

Have a look at this: import csv import ...READ MORE

May 13, 2019 in Machine Learning by Jinu
 • 2,436 views
0 votes
1 answer

Different types of Logistic Regression

There are three main types of logistic ...READ MORE

May 13, 2019 in Machine Learning by Nikhil
 • 12,201 views
0 votes
1 answer

Can an ML model be recreated or retrained?

Of course, your model is retrainable, in ...READ MORE

May 13, 2019 in Machine Learning by Hemant
 • 669 views
0 votes
1 answer

Why data set always divided in training data and test data in regressions?

Let me explain the process of prediction ...READ MORE

May 11, 2019 in Machine Learning by Mishra
 • 1,048 views
0 votes
1 answer

What is correlation and its types?

Correlation is a statistical measure that shows ...READ MORE

May 10, 2019 in Machine Learning by Zulaikha
 • 2,622 views
0 votes
1 answer

What are different types of regressions?

There are three types of regressions: Linear regression: Linear ...READ MORE

May 10, 2019 in Machine Learning by Jinu
 • 3,495 views
0 votes
1 answer

Clustering algorithms

These are the clustering algorithms that are ...READ MORE

May 10, 2019 in Machine Learning by Nisha
 • 1,238 views
0 votes
1 answer

What are different clustering methods?

Different clustering methods include: 1. Density-Based Methods: These methods ...READ MORE

May 10, 2019 in Machine Learning by Vishal
 • 1,549 views
0 votes
1 answer

What is clustering in Machine Learning?

Clustering is a type of unsupervised learning ...READ MORE

May 10, 2019 in Machine Learning by Shridhar
 • 1,372 views
0 votes
1 answer

Python code for basic linear regression

Hi @Dipti, you could try something like ...READ MORE

May 10, 2019 in Machine Learning by Vinod
 • 2,415 views
0 votes
1 answer

What are the techniques used in unsupervised learning?

There are two main techniques used in ...READ MORE

May 10, 2019 in Machine Learning by Rhea
 • 1,505 views
0 votes
1 answer

What are the techniques used in supervised learning?

There are two main techniques used in ...READ MORE

May 10, 2019 in Machine Learning by Kiran
 • 2,617 views
0 votes
1 answer

What is the process involved in machine Learning?

Discussing this on a high level, these ...READ MORE

May 10, 2019 in Machine Learning by Rhea
 • 1,733 views
0 votes
1 answer

Real world applications of Machine Learning

Few real-world applications of machine learning are  Have ...READ MORE

May 10, 2019 in Machine Learning by Jinu
 • 1,043 views
0 votes
1 answer

Example to run KNN algorithm using python

Have a look at this one: from sklearn.datasets ...READ MORE

May 9, 2019 in Machine Learning by Harvy
 • 1,816 views
0 votes
1 answer

Semi-supervised learrning assumptions

Obviously, semi-supervised learning makes use of some ...READ MORE

May 9, 2019 in Machine Learning by Charu
 • 1,663 views
0 votes
1 answer

Where is reinforcement learning applied?

Reinforcement learning is being used in various ...READ MORE

May 9, 2019 in Machine Learning by Manasa
 • 1,007 views
0 votes
1 answer

Are there different types of reinforcements?

There are two types of reinforcements - ...READ MORE

May 9, 2019 in Machine Learning by Mishra
 • 1,302 views
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