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## Problem Statement
Describe the problem you are trying to solve.
### Desired Outcome
Describe what outcome will be enabled if successful? What about the existing process will change as a re…
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Got this error from the newest version of Scikit-Learn
```
ImportError:
`load_boston` has been removed from scikit-learn since version 1.2.
The Boston housing prices dataset has an ethical prob…
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Problem Description:
The model aims to predict housing prices based on a dataset containing various features of the properties, such as size, location, and other quantitative factors. Housing price…
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+ Create account on https://www.kaggle.com/ and report link to your profile page on Kaggle here. (1 hour)
+ Find 10 datasets that have at least more than 100 rows and 5 columns and report the links h…
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What's the cost of housing? Are people paying more for housing or rent than they were last year?
Ideas:
- craigslist posts
- Zillow/Redfin
- financial markets data
- homelessness reports
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Problem Description:
The lack of categorical insights into house prices, limited ability to capture complex feature interactions, and reduced interpretability for non-technical stakeholders. The ex…
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Problem: Zbiór danych opisuje nieruchomości w stanie Kalifornia. Chcemy modelować medianę wartości domu dla gospodarstw domowych w obrębie bloku (mierzona w dolarach amerykańskich).
Dane: Dane zawi…
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Project idea – The dataset has house prices of the Boston residual areas. The expense of the house varies according to various factors like crime rate, number of rooms, etc. It is a good ML project fo…
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- [ ] Include only 1 quarter of data to start with (Q4 - after Sep 1)
- [ ] Consider scaling and standardization methods
- [ ] Investigate feature selection methods
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### New Project: Housing Prices EDA and Prediction
**Project Overview:**
We are starting a new project to analyze and predict housing prices using the "Housing Prices EDA and Prediction"This proje…