Recent questions in Machine Learning

2 2 votes
2 2 answers
10.5k
10.5k views
The hypothesis (model) of Logistic Regression which is a binary classifier ( $y =\{0,1\} $) is given in the equation below:Hypothesis$S(z)=P(y=1 | x)=h_{\theta}(x)=\frac{...
0 0 votes
1 1 answer
1.8k
1.8k views
1 1 vote
1 1 answer
779
779 views
Make a scatter plot where the x-axis is the height of the citizens and the y-axis is the weight of the citizens. The color of the points need to be different for males an...
1 1 vote
0 0 answers
965
965 views
Here is LSTM predict model and i want to convert Linear Regression.... model.fit(x_train, y_train, epochs=10, batch_size=16) trainPredict = model.predict(x_train) testPre...
3 3 votes
1 answers 1 answer
7.4k
7.4k views
Assume we have the following neural network and all activation functions are $f(z)=z$. If the weights are initialized with the values you see in table below, what will be...
0 0 votes
1 answers 1 answer
1.8k
1.8k views
For the following dataset, calculate the regression equation $\hat{y} = ax+b$datasetxy1423501075161002615036200
3 3 votes
2 answers 2 answers
8.4k
8.4k views
The scatter plot of Iris Dataset is shown in the figure below. Assume Softmax Regression is used to classify Iris to Setosa, Versicolor, or Viriginica using just petal le...
3 3 votes
1 answers 1 answer
9.4k
9.4k views
In the figure below, a neural network is shown. Calculate the following:1) How many neurons do we have in the input layer and the output layer?2) How many hidden layers d...
1 1 vote
1 1 answer
2.7k
2.7k views
I preprocessed the data, normalized the numerical features, and did one hot encoding for the categorical ones. I end up with a model with R^2=0.7 and RMSE which is 15% of...
2 2 votes
1 answers 1 answer
6.6k
6.6k views
For the below neural network, imagine we are going to use the backpropagation algorithm to update weights. If the Bias (b) in this problem is always 0 (ignore bias when y...
1 1 vote
0 0 answers
7.8k
7.8k views
Hi everyone.I'm currently working on my final project for a Data Science degree and after a month of literature review, exploratory analysis and model testing, I'm not su...
3 3 votes
1 answers 1 answer
10.8k
10.8k views
The scatter plot of Iris Dataset is shown in the figure below. Assume Softmax Regression is used to classify Iris to Setosa, Versicolor, or Viriginica using just petal le...
1 1 vote
1 1 answer
586
586 views
the code is import numpy as np import pandas as pd from keras.models import Sequential from keras.layers import Dense, LSTM, Dropout from keras.layers.core import Dense, ...
1 1 vote
1 1 answer
1.3k
1.3k views
How do you determine the weight values that connect to the other data points when solving for our output in neural networks?
3 3 votes
1 answers 1 answer
7.4k
7.4k views
The dataset of pass/fail in an exam for 5 students is given in the table below. If we use Logistic Regression as the classifier and assume the model suggested by the opti...
2 2 votes
1 answers 1 answer
13.3k
13.3k views
The dataset of pass/fail in an exam for 5 students is given in the table below. If we use Logistic Regression as the classifier and assume the model suggested by the opti...
1 1 vote
1 1 answer
547
547 views
I'm trying to create a regression with a data set that does not contain any nulls and has a very few outliers. I fit a linear regression, a random forest, and a gbm model...
1 1 vote
1 1 answer
1.1k
1.1k views
I’ve heard that it’s hard to visualize the output of random forest models with large trees/forest but I’m finding it hard to understand what the use case for the model i...
2 2 votes
1 1 answer
591
591 views
2 2 votes
1 1 answer
840
840 views
Regarding the datacamp tutorial "Python Machine Learning: Scikit-Learn Tutorial", the author is considering the use cases that are relevant to the digits data set, so she...