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H: Conditional attributes in a prediction problem
I am trying to implement an algorithm to predict fantasy points of a player regarding past events. However, I am having some doubts about some attributes.
Imagine that a player is going to play away in the next match, I believe it is useful to have the points/goals he ... |
H: Control which features are used for every task in multioutput classification?
I would like to perform a multiclass-multioutput classification task, on vectorized textual data. I started by using a random forest classifier in a multioutput startegy:
forest = RandomForestClassifier(random_state=1)
multi_targe... |
H: Which input to use when generating a new sequence
I want to use sequence-to-sequence architecture to generate sequences.
My data has such structure
[0, 0, 1, 0, ..., 0, 1] --> [12.34, 0.78, 1.54, 6.90, ..., 5.32]
I follow this tutorial to achieve it.
After forwarding through Encoder network encoder_hidden is used... |
H: xgboost classifier predicted negative probabilities
I'm using XGBoost for a binary classification problem. There is no negative label, only 1 and 0.
I tunned the hyperparameters using Bayesian optimization then tried to train the final model with the optimized hyperparameters.
Mdl_XGB = xgb.train(OptimizedParams, d... |
H: Generating text using NLP based on parameters
I want to generate some text based on the value of certain parameters. For instance, let's say I want to generate descriptions of video games. So, besides real descriptions as training data, I would like that the model takes in account the following parameters (for exam... |
H: Is it good practice to convert columns with a number to a range between 0 and 1?
Relatively new to data science. I heard something about converting columns which contain integers into a range between 0 and 1. I think the reasoning was that so all the columns will be more similar in their range. I think along with t... |
H: Python: forecast unevenly spaced time-series?
My data has timestamps corresponding to the failure occurrences of a specific component in machinery. The timestamps are not uniformly distributed.
My question is:
1) what methods can I use to (almost) accurately to forecast future occurrences (timestamps) of Failure?
2... |
H: Cross-entropy loss colloquially
I have just made an MNIST classifier from a tutorial. It has 1 layer, no hidden layers. It uses PyTorch's nn.CrossEntropyLoss as a loss function. Plotting my losses after training, it starts out at around 2.25 and goes down to 0.5. What does this number mean, in a colloquial sense? D... |
H: Understanding these probabilities, and reading the pdf and cdf
UPDATE: this is a math question but as i would like to codify it, I thought the DS SE might be appropriate.
I am trying to sketch out this problem statement. Where am I going wrong since I don't see how they get
"6% chance of losing any money at all",... |
H: Degree of Profanity in a Sentence
Given a comment or a sentence and a list of profane words, How do I write a program to print the degree of profanity in that sentence?
AI: One way to approach it is to split the sentence into tokens and count the number of tokens that are profanities.
import re
def tokenize(text):... |
H: Does ridge regression always reduce coefficients by equal proportions?
Below is an excerpt from the book Introduction to statistical learning in R, (chapter-linear model selection and regularization)
"In ridge regression, each least squares coefficient estimate is shrunken by the same proportion"
On a simple datase... |
H: Would averaging two vectors in word embeddings make sense?
I'm currently using the GloVe embedding matrix which is pre-trained on a large corpus. For my purpose it works fine, however, there are a few words which it does not know (for example, the word 'eSignature'). This spoils my results a bit. I do not have the ... |
H: Can we add other features along with Text in sentiment analysis
Can we add other features along with Text to a ML model . Like giving text and other features as one input combining them and predict the output value. As model can learn some more better if given some extra features along with text from tf-idf vector ... |
H: No module named "" error when loading the pickle file
I created a model and I saved it in a pickle file using the Algorithm SVR(Support Vector Regression)
import pickle
pickle.dump(model,open('carb patients data/Pickles/svr.pickle', 'wb'))
In jupyter notebook it gives an error
can't pickle _thread.RLock objects
... |
H: Do I need to convert strings before using LSTM?
I have a dataset which includes one column with a URL and another column with value 0 or 1 indicating if it is a phishing link.
I want to process this dataset using LSTM. Do I need to first convert the string column into some other data type?
The model I'm hoping to ... |
H: Dimensionality reduction without select components
I would like to use dimensionality reduction algorithm in my pipeline.
I have 2k features and I'm using xgboost.
My model is rebuilding each day (there are new records that should be involve to training set).
I'm looking for method for dimensionality reduction with... |
H: Why normalize function has a different result on a matrix vs single value?
I have a matrix like:
B=[ 1.5035; 1.5728; 1.6485; 1.5369; 1.5467; 1.572; 1.5374; 1.787; 1.5825; 1.6905];
Using normalize function like normalize(B,'range') has this result:
ans = 0
0.24444
0.51146
0.11781
0.15238
0.24162
... |
H: How to trust the labels generated using ML models?
I have a dataset of patient records. But I do not know whether he is +ve for a cancer or not. So, I do not have the labels in my dataset.
Now I can run a machine learning models like clustering to generate labels.
For ex: I can run clustering to group the two clas... |
H: Trying to understand the Fowlkes-Mallows Score
I recently bought Chris Albon's ML flashcards and I'm working my way through them. But this one on the Fowlkes-Mallows score has me stumped, as his definitions of false negatives and false positives seem reversed:
If y_hat are my predictions, and I've said that a pair... |
H: Probabilistic gold standard vs Deterministic gold standard
I understand that we say something as a gold standard when it involves human intervention/judgement/review.
But can someone help me understand what's the difference between probabilistic gold standard and deterministic gold standard.
For ex: Patient has can... |
H: Why does averaging over vector values cause errors?
As a way to improve my model, I want to average GloVe vectors over a sentence. However, I can't get np.mean to work. The following code works when not averaging over words. (copied from other code)
embeddings_dict = {}
with open("glove.6B.50d.txt", 'r') as f:
... |
H: Gradient descent parameter estimation Package for R
I am looking for a package that does gradient descent parameter estimation in R, maybe with some bootstrapping to get confidence intervals. I wonder if people call it something different here as I get almost nothing on my searches, and the one article I found was ... |
H: K-means: What are some good ways to choose an efficient set of initial centroids?
When a random initialization of centroids is used, different runs of K-means produce different total SSEs. And it is crucial in the performance of the algorithm.
What are some effective approaches toward solving this problem? Recent ... |
H: Analyzing survey data for predictions
I've got survey data that resembles:
|-------------| Q1a | Q1b | Q1c | Q2a | Q2b | Q2c | Classification
| Respondent | 1 | 0 | 0 | 1 | 0 | 0 | Red
| Respondent | 0 | 0 | 1 | 1 | 0 | 0 | Green
| Respondent | 0 | 1 | 0 | 0 | 0 | 1 | Yellow
... |
H: Reference about social network data-mining
I am not in the data science field, but I would like to examine in depth this field and, particularly, I would like to start from the analysis of the social networks data.
I am trying to find some good references, both paper, websites and books, in order to start learning ... |
H: How should I create a single score with two values as input?
I have two series of values, a and b as inputs and I want to create a score, c, which reflects both of them equally. The distribution of a and b are below
In both cases, the x-axis is just an index.
How should I go about creating an equation c = f(a,b)... |
H: What types of features are used in a large-scale click-through rate prediction problem?
Something that I often see in papers (example) about large-scale learning is that click-through rate (CTR) problems can have up to a billion of features for each example. In this Google paper the authors mention:
The features u... |
H: How to approach automated text writing?
What are the tools, practices and algorithms used in automated text writing?
For example, lets assume that I have access to wikipedia/wikinews and similar websites API and I would like to produce article about "Data Science with Python".
I believe that this task should be div... |
H: Dimensionality and Manifold
A commonly heard sentence in unsupervised Machine learning is
High dimensional inputs typically live on or near a low dimensional
manifold
What is a dimension? What is a manifold? What is the difference?
Can you give an example to describe both?
Manifold from Wikipedia:
In mathemat... |
H: Lightweight data provenance tool
One of the problems I often encounter is that of poor data provenance.
When I do research I continuously make modifications to my code and rerun experiments. Each time I'm faced with a number of questions, such as: do I save the old results somewhere, just in case? Should I include ... |
H: Why does logistic regression in Spark and R return different models for the same data?
I've compared the logistic regression models on R (glm) and on Spark (LogisticRegressionWithLBFGS) on a dataset of 390 obs. of 14 variables.
The results are completely different in the intercept and the weights.
How to explain th... |
H: Creating Strings corresponding to Location Co-ordinates
What are some Python libraries which can convert a (X,Y) tuple to strings?
(1.23,4.56) yields strings β1_4β, β12_45β, β123_456β.
AI: Your question has nothing to do with NLP or text-mining (as you claim in the attached tags), or data science in general. It's ... |
H: What is the "dying ReLU" problem in neural networks?
Referring to the Stanford course notes on Convolutional Neural Networks for Visual Recognition, a paragraph says:
"Unfortunately, ReLU units can be fragile during training and can
"die". For example, a large gradient flowing through a ReLU neuron
could cause... |
H: Library/package/tool for geographical data visualizations
I am looking for a good free existing tool which visualizes geographical data (let's say in the form of coordinates) by plotting them on a map.
It can be a library (see this question on StackOverflow, which suggests a Python library called basemap, which is... |
H: Add Custom Labels to NLTK Information Extractor
I am working on an information extractor specifically purposed with parsing relationships between entities such as movies, directors, and actors. NLTK appears to provide the necessary tools to construct such a system. However, it is not clear how one would go about ad... |
H: In Weka, how to draw learning curve evaluated on both test and training set?
This is just for finding overfitting gap.
After initial research, I can only find method to draw learning curve using evaluation of test set. However, I could not evaluate on training set and over the two learning curves.
AI: This is only... |
H: What kind of research can be done with an email data set?
I found a data set called Enron Email Dataset. It is possibly the only substantial collection of "real" email that is public. I found some prior analysis of this work:
A paper describing the Enron data was presented at the 2004 CEAS conference.
Some experim... |
H: Ranking Bias in Learning to Rank
Users tend to click on results ranked highly by search engines much more often than those ranked lower. How do you train a search engine using click data / search logs without this bias? I.e. you don't want to teach the search engine that the results that are currently ranked highly... |
H: Best or recommended R package for logit and probit regression
Could somebody please recommend a good R package for doing logit and probit regression? I have tried to find an answer by searching on Google but all the links I find go into lengthy explanations about what logit regression is, which I already know, but ... |
H: Fast k-means like algorithm for $10^{10}$ points?
I am looking to do k-means clustering on a set of 10-dimensional points. The catch: there are $10^{10}$ points.
I am looking for just the center and size of the largest clusters (let's say 10 to 100 clusters); I don't care about what cluster each point ends up in. ... |
H: Preparation for Career in Data Analysis Without College
I dropped out of college but am interested in a career in data analysis. Now I am self-studying approximately 10 hours per day. Browsing through job postings on Linkedin has allowed me to compose a rough curriculum. It would be of great help to me if you wou... |
H: LinkedIn web scraping
I recently discovered a new R package for connecting to the LinkedIn API. Unfortunately the LinkedIn API seems pretty limited to begin with; for example, you can only get basic data on companies, and this is detached from data on individuals. I'd like to get data on all employees of a given co... |
H: Learning time of arrival (ETA) from historical location data of vehicle
I have location data of taxis moving around the city sourced from: Microsoft Research
Overall it has around 17million data points.
I have converted the data to JSON and filled up mongo. A sample looks like this:
{'lat': 39.84349, 'timestamp': '... |
H: Attributing causality to single quasi-independent variable
Apologies if this isn't the correct place to ask - I'm not sure if this fits best with Stats or Data Science.
I'm using analytics to help marketers identify attributes of their users correspond to successful conversions (such as someone buying a product, si... |
H: How to subset rows from a data frame with comparison operators in R
I have a data frame (a csv file) with dimensions 100x6 and I need only the columns c("X1", "X2", "X4") and the rows in which the value of "X1" is greater than 30. So I did:
data_frame <- read.csv ("data_frame")
data_frame [c("X1", "X2", "X4")]
... |
H: Convolutional neural network for sparse one-hot representation
I have some basic features which I encoded in a one-hot vector.
Length of the feature vector equals to 400.
It is sparse.
I saw that conv nets is applied to a dense feature vectors.
Is there any problems to apply conv nets to a sparse feature vectors?
A... |
H: Using attributes to classify/cluster user profiles
I have a dataset of users purchasing products from a website.
The attributes I have are user id, region(state) of the user, the categories id of product, keywords id of product, keywords id of website, and sales amount spent of the product.
The goal is to use the i... |
H: How to scale an array of signed integers to range from 0 to 1?
I'm using Brain to train a neural network on a feature set that includes both positive and negative values. But Brain requires input values between 0 and 1. What's the best way to normalize my data?
AI: This is called unity-based normalization. If you h... |
H: What techniques are used to understand call patterns?
I have customer data since 2013 and there is a file which has the customer unique id, a timestamp, and the reason for the call (a drop down from the person who handled the call).
I did some cumulative counts based on customer ID and the timestamp and I saw tha... |
H: How deep should ones linear algebra knowledge be before starting data science?
How important is linear algebra to being a data scientist? Are we talking college postgraduate level?
AI: I think it truly depends on what you decide to specialize in. Data science is a very broad field, and you can actually work with da... |
H: How to create a good list of stopwords
I am looking for some hints on how to curate a list of stopwords. Does someone know / can someone recommend a good method to extract stopword lists from the dataset itself for preprocessing and filtering?
The Data:
a huge amount of human text input of variable length (searchte... |
H: How to cluster a link traversal dataset
I'm using Google Analytics on my mobile app to see how different users use the app. I draw a path based on the pages they move to. Given a list of paths for say a 100 users, how do I go about clustering the users. Which algorithm to use? By the way, I'm thinking of using scki... |
H: How to install rattle in centos
While running rattle in my system I am getting this error
rattle()
Error: attempt to apply non-function
In addition: Warning message:
In method(obj, ...) : Unknown internal child: selection
I am using R version 3.1.0 (2014-04-10)
AI: I got the answer.
I have to install some of the p... |
H: change in variable importance
I have a multi year dataset. Each time frame of the data has different predictor importance.
Say for example, I am slicing the data into two partions as follows:
a dataset for the year 2014 (whole year)
a 2015 Jan.
When i look for the predictor importance, the predictor variables ... |
H: Wordnet Lemmatization
I tried finding about exception lists in wordnet lemmatizers. "Morphy() uses inflectional ending rules and exception lists to handle different possibilities" which I read from http://www.nltk.org/howto/wordnet.html . Can you explain what is an exception list. Thank you.
AI: The exception list ... |
H: getting error:-Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/hadoop/io/Writable
I am trying to connect to hive from java but getting error. I searched in google but not got any helpfull solution. I have added all jars also.
The code is:-
package mypackage;
import java.sql.SQLException;
impor... |
H: Support vector regression and paremeters
I am doing load forecasting using SVR(kernel='rbf').How can I understand which is the best value for parameters C, epsilon and gamma?Thanks.
AI: It looks like that you are using scikit-learn. In this case use Grid Search Cross Validation or Randomized Search Cross Validatio... |
H: Are there any unsupervised learning algorithms for time sequenced data?
Each observation in my data was collected with a difference of 0.1 seconds. I don't call it a time series because it don't have a date and time stamp. In the examples of clustering algorithms (I found online) and PCA the sample data have 1 obse... |
H: Algorithm for deriving multiple clusters
Suppose I have a set of data (with 2-dimensional feature space), and I want to obtain clusters from them. But I do not know how many clusters will be formed. Yet, I want separate clusters (The number of clusters is more than 2). I figured that k means of k medoid cannot be ... |
H: How to paste string and int from map to an array in hive?
I am trying to paste a string and int from map in Hive to an array.
For now, record looks like this:
{"string1":1,"string2":1,"string3":15}
Is there a way to convert it to an array like this:
["string1:1","string2:1","string3:15"]
AI: Assuming your map is c... |
H: How to learn spam email detection?
I want to learn how a spam email detector is done. I'm not trying to build a commercial product, it'll be a serious learning exercise for me. Therefore, I'm looking for resources, such as existing projects, source code, articles, papers etc that I can follow. I want to learn by ex... |
H: Making a labelled training data set
We are developing a classification system, where the categories are fixed, but many of them are inter-related.
For example, we have a category called, "roads" and another one called "traffic". We believe that the model will be confused by the text samples, which could be in road... |
H: Random Forest, Type - Regression, Calculation of Importance Example
I am trying to use a Random Forest Model (Regression Type) as a substitute of logistic regression model. I am using R - randomForest Package. I want to understand the meaning of Importance of Variables (%IncMSE and IncNodePurity) by example.
Suppo... |
H: How to analyze which site has most numbers
I am trying to determine which site in our organization is in greater need of upgrades to SEP 12, so when I run a query to count, I get these type of numbers
Group Windows_SEP_11 Mac_SEP_11 Windows_SEP_12 Mac_SEP_12
Arizona\A 417 29 ... |
H: R Programming, how to replicate for districts in a city
I am new to R Programming and just learned basics through codeschool.com
Our network spans the city, and it is divided into districts.
I would like to create a map that assigns a value (based on ratio of outdated software and new software) to each district.
Th... |
H: How to select features from text data?
I have a data set of questions belonging to ten different categories namely (definitions, factoids, abbreviations, fill in the blanks, verbs, numerals, dates, puzzle, etymology and category relation).
The categories are briefly described as follows:
Definition β A question t... |
H: Comparing accuracy of models in ordinal regression / classification
I am looking into creating a model to predict whether an item is "Very Good", "Good", "Bad" or "Very Bad".
After I fit the training data to the models, comparing the accuracy of the models during test stump me: should it matter if a model misclassi... |
H: Create a prediction formula from data input
I have an algorithm which have as an input about 20-25 numbers. Then in every step it uses some of these numbers with a random function to calculate the local result which will lead to the final output of A, B or C.
Since every step has a random function, the formula is n... |
H: What is a XML dataset?
What are xml datasets? Is it possible to convert them to csv files?
I'm working on a Java program and I sometimes download datasets wich are in a binary format, are those xml?
Thank you.
AI: XML is a markup language similar to html. One uses tags with attributes to build data structures. For... |
H: visualize a horizontal box plot in R
I have a dataset like this. The data has been collected through a questionnaire and I am going to do some exploratory data analysis.
windows <- c("yes", "no","yes","yes","no")
sql <- c("no","yes","no","no","no")
excel <- c("yes","yes","yes","no","yes")
salary <- c(100,200,3... |
H: How to fit an odd relationship with a function?
Let's say there is a function $f$ such that $y = f(x)$. However, if $f$ is a piecewise function such that:
$$y = \begin{cases} 0 \quad x \leq 0 \\ 1 \quad x >0\end{cases} $$
How do I fit $f$ in that case?
Many thanks, guys.
AI: The definition you gave is the definitio... |
H: Price optimization for tiered and seasonal products
Assuming I can collect the demand of the purchase of a certain product that are of different market tiers. Example: Product A is low end goods. Product B is another low end goods. Product C and D are middle-tier goods and product E and F are high-tier goods.
We ha... |
H: Relationship between VC dimension and degrees of freedom
I'm studying machine learning and I feel there is a strong relationship between the concept of VC dimension and the more classical (statistical) concept of degrees of freedom.
Can anyone explain such a connection?
AI: As stated by Prof Yaser Abu-Mostafa-
Deg... |
H: Algorithm for segmentation of sequence data
I have a large sequence of vectors of length N. I need some unsupervised learning algorithm to divide these vectors into M segments.
For example:
K-means is not suitable, because it puts similar elements from different locations into a single cluster.
Update:
The real da... |
H: How to convert a text to lower case using tm package?
I am using the below R code to convert text to lower case:
movie_Clean <- tm_map(movie_Clean, content_transformer(tolower))
However I end up getting the below error:
Error in FUN(content(x), ...) : invalid input 'I just wanna watch
Jurassic World Γ Β½ΓΒΈΒ«' ... |
H: Sampling from a multivariate von Mises-Fisher distribution in Python
I am looking for a simple way to sample from a multivariate von Mises-Fisher distribution in Python. I have looked in the stats module in scipy and the numpy module but only found the univariate von Mises distribution. Is there any code available?... |
H: Working with text files in Excel
I have an excel file containing a long text in column A. I am looking for the words starting by "popul" such as popular and populate . I can find these cells by the formula:
=SEARCH("popul",A1,1)
I want a function that returns the whole words starting by popul such as popular a... |
H: Implementing Complementary Naive Bayes in python?
Problem
I have tried using Naive bayes on a labeled data set of crime data but got really poor results (7% accuracy). Naive Bayes runs much faster than other alogorithms I've been using so I wanted to try finding out why the score was so low.
Research
After reading ... |
H: What is the right algorithm to detect segmentations of a line chart?
To be concrete, given 2D numerical data as is shown as line plots below. There are peaks on a background average movement (with small vibrations). We want to find the values of pairs (x1, x2) if those peaks drops down to average; or (x1) only if t... |
H: What is an alternative name for "Unstructured Data"?
I'm writing my thesis at the moment, and for some time - due to a lack of a proper alternative - I've stuck with "unstructured data" for referring to natural, free flowing text, e.g. Wikipedia articles.
This nomenclature has bothered me from the very beginning, s... |
H: How many observations in a neural networks dataset?
I started to study and programming in neural networks for a little while now, but I never read about the minimum number of observations one must collect in a dataset to get robust results. Of course, more observations better results, but, Does exist an empirical o... |
H: How can I show the relations between travel destinations?
I'm trying to do a project about email marketing. I'm working on a tourism company and I want to make a best destination suggestion for the clients. But I need to see the relations between destinations.
Example: How many people visited Dublin and then visite... |
H: How to combine two different random forest models into one in R?
I have two different dataset with same variables. I have built training models separately using random forest. Now i want to combine both these models. Could anyone tell me how can i this be achieved? Do we have something called combine() function in ... |
H: How to find similarity between different factors in a dataset
Introduction
Let's say I have a dataset of different observation of different people and I want to group people together to know which person is closest to the other one. I also want to have a measure to know how close they are to each others and know th... |
H: Data repositories like UCI
Are there any other data repositories like UCI and mlData, for biological data?? I want to know about mostly biological data set.
AI: There're lots and tons of data sets for biological data.
GenBank Overview
IGSR: The International Genome Sample Resource
Bioinformation and DDBJ Center
Li... |
H: Can you use clustering to pick out signals in noisy data?
As my first project into data science, I would like to pick out the main clusters in noisy data. I think a good example would be trying to pick out certain links on a given StackExchange question that has a number of answers. The most common type of link is ... |
H: Predict set elements based on other elements
Sorry if this has been answered before but could someone help me with solving the following problem:
Each symbol in a dataset has a set of labels. Given a set of labels how can we predict more labels for that set?
Or to attempt a more formal wording: let a set of sets $S... |
H: Root Mean Squared Error (RMSE) - significance of square root
What is the significance of the square root in root-mean-square-error? Essentially, my question is: what is the difference between (rms error) and (rms error)$^2$?
AI: It depends on what you are using the RMSE for. If you are merely trying to compare two ... |
H: What is the best way to propose an item from a set based on previous choices?
The goal of this question is to be able to propose a user further choices based on his past experiences: like Amazon's book advices.
From a set of mp3 files, I assume that a set of mp3 tags data is already filled, based on the music he/sh... |
H: Error in R - Unexpected '}' in " }"
I am getting the error:
Error: Unexpected '}' in " }
I have put closing brackets for every open bracket, but am not sure why I am getting this error.
The error arises when I run the following code:
#find number of Columns & Rows
numcol <- ncol(training_main)
numrow <- nrow(... |
H: How to speed up optimization using Differential Evolution?
My application is high frequency trading. My data are time series of the bid and ask prices of a stock recorded on every tick (change in price). For each data point I also have a certain indicators that predict the future movement of the price. The indicat... |
H: python - Will this data mining approach work? Is it a good idea?
I need to extract fields like the document number, date, and invoice amount from a bunch of .csv files, which I believe are referred to as "unstructured text." I have some labeled input files and will use the NLTK and Python to design a data extractio... |
H: Storing Sensor Data for Analysis of the Office
I have currently been tasked with designing an application that tracks several different measurements around the office, eg. the temperature, light, presence of people, etc. Having never really worked on data analysis before, I would like some guidance on how to store ... |
H: How are clusters from DBSCAN sometimes non-convex?
I've been using clustering in my bag of ML techniques for quite some time now, and I've never found a satisfying answer to this question.
In DBSCAN, we define a maximum radius with which to form clusters. The algorithm will scan the space and group together poi... |
H: What are the performance measures in the neural networks field?
I constructed a neural networks in R using neuralnet package.
I want to test that using cross-validation, that is a technique based on using 4/5 of the dataset to train the network and the fifth one as the test set.
I wonder about what measures I shoul... |
H: Pivoting a two-column feature table in Pandas
How can I transform the following DataFrame into one with cities as rows and each cuisine as a column, and 1 or 0 as values (1 if the city has that kind of cuisine)?
I think this turns out to be a very common problem in transforming data into features for machine learn... |
H: What is the actual output of Principal Component Analysis?
I'm trying to understand PCA, but I don't have a machine learning background. I come from software engineering, but the literature I've tried to read so far is hard for me to digest.
As far as I understand PCA, it will take a set of datapoints from an N di... |
H: What should I care about while stacking as an ensemble method?
I'm using SMO, Logistic Regression, Bayesian Network and Simple CART algorithms for classification. Results form WEKA:
Algorithm Sensitivity (%) Specificity (%) Overall accuracy (%)
Bayesian Network 57.49 ... |
H: Does the network learn based on previous training or does it restart? Matlab, neuralnetworks
In Matlab, if you build a simple network and train it:
OP = feedforwardnet(5, 'traingdm');
inputsVals = [0,1,2,3,4];
targetVals = [3,2,5,1,9];
OP = train(OP,inputsVals,targetVals);
then you train it again so another OP = ... |
H: Scalable open source machine learning library written in python
I believe sci kit learn is written in python,however that not scalable.Spark mlib or ml is scalabale but written in scala.I am looking for an ongoing effort where a machine learning library is being built in python (available in github or so) so that I... |
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