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ValueError: X has 54 features, but DecisionTreeClassifier is expecting 53 features as input

I am analysing and prediction 2023 Cricket World Cup based on previous given dataset. This is Exploratary analysis: Feature selection and Training model: Applying Random forest classifier algorithm: ...
Mithlesh Upadhyay's user avatar
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0 answers
29 views

What is the steps to generate data from a plot and use them to have a predication using python?

I have a plot that represent a BH curve for magnatic material. The material have a behavior for each H value for two different temperature 25 C and 100 C. Figure 1. I need to extract the data for each ...
Will's user avatar
  • 1
1 vote
1 answer
39 views

Data Analytics Documantaions

I am working as a data analyst in a company. Me and my colleagues use different tools and software to analyze the data and make the reports (e.g., Excel, Python, R, Alteryx, SQL, Tableau). Each one ...
N.IT's user avatar
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0 votes
1 answer
138 views

Marketing Spend Optimization Techniques

I need some help with market spend optimization. I’m working with a client who’s running an offline operation that’s primarily driven by online marketing (fb, google, twitter etc). They had asked me ...
Cal.Naughton's user avatar
1 vote
0 answers
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Does anyone know of literature regarding a Neural Net boosted GBM?

For obvious reasons, most GBMs created in the private sector are tree boosted. Occasionally, one might want a linear boosted GBM so that the residual models collapse into a simple linear combination. ...
James Hardon's user avatar
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1 answer
36 views

Can someone explain to me how to use a predictive model to predict something other than the training set

So let's say I create a logistic model to predict who will open a loan based on a based email list that includes who opened and who didn't that's 90% accurate. The model says age, income, bank ...
happinessiskey's user avatar
1 vote
0 answers
12 views

What models should I try with a time series database? [closed]

I've acquired and cleaned a dataset that shows statistics from every county in New York State during 2010-2019 focusing on the NYS School Aid correlating it to other growth and criminal statistics. ...
robotcourier's user avatar
2 votes
0 answers
39 views

How to aggregate Weather Data from county to state level? [closed]

I am doing a prediction of forest fire risk using the weather data and the fire incident data. I have data related to different county and the weather data on the day of the incident. As the incident ...
Shiv Kumar Ganesh's user avatar
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1 answer
39 views

How to measure Covid impact by analysing credit card transaction of customer

I Want to know how can I identify that is the customer is in financial distress due to the COVID situation using its credit card transactions. I have a daily transaction of customers till current ...
Ajay's user avatar
  • 11
1 vote
1 answer
112 views

How is DS used in the case of Payment Gateways?

I know it's a general question but what type of analytics can be done in this case? How can we apply machine learning models here?
m2rik's user avatar
  • 321
1 vote
1 answer
22 views

How to order the data with respect to data type

I am having large data set (82 variables) Is there any way to arrange data such a way that I have to get all numerical variables firstly then categorical variables so that I can run hypothesis ...
user12490809's user avatar
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1 answer
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In which CRAN mirror is the quadprog package available?

I was trying to find the accuracy of some predicted data and I came to know that I can use the forecast package to do this. When I installed it and gave library(forecast), it said it needs quadprog ...
user220641's user avatar
3 votes
1 answer
333 views

How to get the survival duration prediction for each individual in the data by using the Kaplan-Meier method?

I am trying to learn how to use the Kaplan-Meier survival estimator model in the lifelines package. The documentation says that the KaplanMeierFitter.fit function ...
Kristada673's user avatar
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1 answer
377 views

Exploratory Data Analysis

I am working on this dataset. Dataset has missing values. What would be the best method to impute the missing values. Also values are missing from target feature as well. So far I have dropped those ...
akhilesh sayana's user avatar