Questions tagged [beginner]
For questions which concern getting started in Data Science or any of its related subdomains.
146
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Doubt about use of positional encoding in transformers
These past days I have started learning about transformers, but there's something that I don't really get.
From what I read, static positional encoding helps us adding positional information in a ...
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46
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Group people driving together based on GPS data
I need to group together people driving together based on GPS data. Data are collected by mobile phones. From each user we receive them in batches every 10 seconds. Each batch have list of GPS data (...
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19
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Beginner: mnist converted to jpeg model not accurate
As a beginner I'm trying to understand the Tensorflow quickstart tutorial .
Basically the page gives you a series of buttons to click after wich you are told you achieved a 98% accuracy.
This is not ...
- 101
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16
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Why does the McCulloch-Pitts Neural net for XOR gate use a hidden layer?
So I am rookie, trying to understand why do we use a hidden layer while making a neural net for the XOR gate?
I have tried doing it in code without using the hidden layers like this:
...
2
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1
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22
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Newbie questions: real-time clustering of messages
I'm very much a newbie in NLP, so please accept my apologies if this is an obvious question, the wrong place to ask it or any other error I could be making.
I am considering using NLP for some subset ...
- 121
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56
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Model from an aggregate
I’m in a place where we’re unable to train models on data due to GDPR. What I want is to predict people getting a job (y) given (x,x,x,x…) their employment type working full time or part time, work ...
- 113
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9
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Finding specific handwritten names in records from tagged examples
I would like to develop a simple solution for this application:
Genealogy often uses scans of church records (baptism, marriage, death records, ...) written in old scripts - notoriously hard to ...
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23
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Predict data using Pre-Trained Classification Model
I have pre trained classification model (saved as pickle file) to predict employee attrition.
My question is when I use new dataset to predict using Pickle file do I need do all preprocessing steps (...
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17
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Multicolinear Predictors Effect on Model
I know that multicolinear predictors in a model aren't ideal because it causes the model to be sensitive to very minor changes, which then reduces our ability to interpret the effects of each ...
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21
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Beginner needs guidance. Machine Learning, preparing training data
i try to dip my feet into the field of computer vision and want to avoid mistakes along the way.
The problem I have to solve: Classifiy images of 3D dental scans.
For example:
I wrote a script to ...
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Training, Validation, and Testing Data in Supervised Learning
I've come up with some simple definitions for training, testing and validation data in supervised learning. Can anyone verify/improve upon my answers?
Training Data - Used by the model to learn ...
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1
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91
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Various models giving 99% accuracy for KDDcup 99 dataset for Intrusion Detection, is there some sort of data leak I am missing?
Student who is quite new to all this here. I am currently working with the KDDcup 99 data for intrusion detection using various ML models (and ANN). My problem is that I am getting 99% often for ...
- 21
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1
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45
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How do I fine-tune model performance after the initial run? (Scikit-Learn)
I've just started learning regression using scikit-learn and stumbled upon a problem. For a given dataset, let's say that I've imputed the missing data and one-hot encoded all categorical features. ...
- 13
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2
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55
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For a student who is a beginner in quantitative research and statistics, which is the better statistical tool to start: R or IBM SPSS? Why? [closed]
Currently, I am writing my research design. However, I am still indecisive on what statistical tool should I use for the data analysis. I tried looking up on the internet and there are disparate ...
3
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1
answer
35
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I can't figure out how to improve accuracy for tweet sentiment
I'm doing a beginning attempt at tweet sentiment analysis (positive, neutral, negative). So far I have cleaned the data and used a BoW to get some feeling of the data (>2.5k tweets). I also made ...
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46
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I need help to write an essay about: probabilistic method || Occam's razor || mathematics in the 21st
I am interested in one of the master's programs in Data Science. In the application process I need to submit an essay of 1,000 words about one of the following topics:
Drawbacks of the probabilistic ...
- 101
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38
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What is the learning path for the role of NLP engineer a beginner should follow? [closed]
I am data science enthusiast and have interest in NLP. How should I develop my understanding for the domain and prepare for the role of an NLP engineer? What are the must have skills to master NLP? ...
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31
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Distplot 'a' parameter, does not make logical sense to me, can anyone explain?
Most sns plot parameters have names that make somewhat logical sense,
For example scatterplot has the x attribute to choose what to plot on the x-axis, and y for y-axis. Similarly kdeplot uses the ...
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40
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Looking for binary class datasets with high class imbalance, that also have intra-class imbalance in the minority class
Newbie question alert...
For a college project I want to compare a few variants of SMOTE in terms of how much they improve classification of the minority class, over using random oversampling.
I have ...
3
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2
answers
530
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Is NLP suitable for my legal contract parsing problem?
My company has a product that involves the extraction of a variety of fields from legal contract PDFs. The current approach is very time consuming and messy, and I am exploring if NLP is a suitable ...
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5k
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How to get R Table Column Names
I could not find anywhere how I can do this seemingly simple task (Retrieving column names in R was not helpful).
I have an R table defined as ...
- 121
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1
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25
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What common/simple problem would work well as a web app? [closed]
Context
I'm currently writing a simple tutorial to demonstrate a tool to data scientists and analysts that turns Jupyter Notebooks into web apps. Basically, it discusses setting up the web app as a ...
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1
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34
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Model with 2 datasets: combine time series data and statistics
I am new to data science modelling so apologies if using wrong terminology in advance.
I have a standard time series dataset of historical prices which is used to train/test a simple Random Forest ...
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1
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64
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kMean clustering for recommendation
I have a file with 50000 rows from a library platform. Each individual row saves a user, and shows the order in which the user, has selected. The books could be from various categories (e.g. roman, ...
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4
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117
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I need to find Simplest exercises available for learning neural networks
I'm learning neural networks, and I'd like to give myself simple exercises and try to train neural networks to solve them.
I know that classifying hand-written digits is a classic problem, but I'm ...
- 255
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67
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Learning Resources for Recommendation system
Beginner here:
Could you please suggest some of the learning resources (books/youtube/articles) for beginners who want to build a recommendation system for their organization.
Have no clue about it ...
- 189
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32
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What type of Machine Learning to use?
I have a beam loaded with random loads, for each timestep I obtain accelerations and maximum moments on the beam.
My prediction should receive a timeseries of accelerometer data and output the ...
- 11
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2
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227
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How do I get started with machine learning and image recognition?
I'd like to get started with machine learning, specifically image recognition. I know that Python is the most popular language for ML since it's easy to pick up and there's tons of libraries for it. I ...
- 113
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57
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How to deal with large datasets? [closed]
I have some experience with data science but I wanted some insight on how to deal with a very large dataset. I understand simply downloading it to your computer is not plausible so where do you even ...
- 21
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1
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49
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Which Machine Learning methods would be good for a beginner-level Data Science project for described dataset? [closed]
I want to do my first beginner-level project regarding Data Science. I picked my data set which is described below. I want to make a Python script which will make some predictions on our data set ...
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2
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86
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Finding Criminal Name in news?
We have news URLS, which we want to classify into crimes or non-crimes and further identify criminals by using NERs.
For creating a model that identifies criminals, we tried SPacy which gave all the ...
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1
answer
417
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Inputting Data for Machine Learning in PyTorch
I have scoured the internet and documentation, but have not yet been able to find a simple explanation of how to load data and/or simply type data into pytorch.
I am just learning this library, and I ...
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1
answer
40
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On Python is the `i` variable defined inherently? [closed]
I am new to this whole landscape, please need some hand holding at first, I can't find a beginner section. Can someone please tell me if i is defined inherently in ...
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1
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196
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How to define a neural model as linear or non linear
TL;DR: in what sense is the model of a neuron seen in the image above nonlinear?
In chapter 1, section 1.3 MODELS OF A NEURON of Simon Haykin's Neural Networks book, the standard model of a single ...
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154
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What is the difference between the value -99 and NaN in a data column?
I am new to data science. I was looking into some datasets and I saw some values like -99, which I discovered later that it means that there is a missing value. Does this mean the same thing as NaN? ...
- 223
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77
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Getting into data science and NLP outside of university
I'm almost 40.
Four months ago I resigned from work to rest from stressing work and change my carerr direction. It took me some time to understand what I want to do and only then I started to learn ...
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626
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'Feature' definition
Precisely, what is a feature? Is it an attribute/property name or its value?
E.g. would features examples be "name", "adress", ...?
Or "Dorothy", "123 YellowBrick Road"??
If it is a property name, ...
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2
answers
52
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Inspect false classified
Recently, I was able to train a simple classification algorithm (my first ML-Project) and I even got a pretty satisfying precision score.
Now I am looking for a way to inspect, which datapoints in ...
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305
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How does permutation of training data improve convergence time when training a perceptron or neural network model? [duplicate]
I'm currently studying some basic concepts regarding Deep Learning and Neural Networks with this material.
When discussing the training algorithm for a perceptron, the author states that looping ...
6
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1
answer
243
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Mapping of categorical features into binary indicator features
I am currently reading an introductory machine learning book by Daumé (ch. 03, p. 30) and when discussing the mapping of categorical features with "n" possible values into "n" binary indicator ...
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1
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42
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My network optimises for mean_squared_error, but the predictions are useless
After going through the tutorials of tensorflow I decided to do my own project. For this I did the following:
I have scraped movie reviews from a polish site called filmweb. I got a dataset o 5400 ...
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1
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830
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Prerequisites for openCV [closed]
I am looking to start learning openCV to perform a car detection program. Should I know data science and/or machine learning stuff before going for openCV?
If not, where can I start learning openCV ...
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2
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3k
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Tips for checking data integrity / data sanity?
I've read a few vague articles and watched a couple of YouTube videos on data integrity and data sanity, but none of them have mentioned ways to actually check these on datasets.
I am interested in ...
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838
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Representing state in Q-Learning
I have a fairly simple game in which I wish to use Q-learning to train an agent, but I have some questions regarding state representation. I'm new to RL so bare with me:
If you have a game where you ...
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334
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Is Mac OS the most suitable OS for a beginner Data Scientist? [closed]
As far as I understand a data scientist should learn both Excel and Bash. And the golden mean is this case is Mac OS, because it has both. And later I can install Ubuntu on Macbook.
user73561
3
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417
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Why can't I use data augmentation with a pretrained convnet?
Reading Deep Learning with Python by François Chollet. In section 5.3.1, we've instantiated a pretrained convnet, VGG16, and are given two options to proceed:
A) Running the convolutional base over ...
- 69
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137
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Train, test and submission files - what am I supposed to do with all of them?
this might be very beginner's question.
I'm working on Kaggle's HomeCredit Default Risk problem which has among others dataset train, test and submission files as can be seen in the link provided. The ...
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2
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2k
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How to handle continuous values and a binary target?
This is going to be a very beginner's question.
I have a datset of continues features like LoanAmount, LoanDuration(multiclass?), ... ClientIncome, ClientFreeSources, etc. and a binary target whether ...
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34
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MOOC importance [closed]
My problem is that at our masters program we have already been taught R, Statistics, Neural nets, Python (pandas, sklearn, etc). Also my master thesis is directly related to Deep Learning and Computer ...
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4
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Data Science Career: From Researcher To Data Scientist
I’m currently working as a Research Assistant in Computer Science, specializing in both Human-Computer Interaction (HCI) and Health Informatics (HI) fields. As part of my role, I collect data from ...
