semvec/pypi-packages huggingface dataset:
housing 0.3
Modelling Housing Price Prediction
Requires Python: >=3.7

# Median housing value prediction

The housing data can be downloaded from https://raw.githubusercontent.com/ageron/handson-ml/master/. The script has codes to download the data. We have modelled the median house value on given housing data. 

The following techniques have been used: 

 - Linear regression
 - Decision Tree
 - Random Forest

## Steps performed
 - We prepare and clean the data. We check and impute for missing values.
 - Features are generated and the variables are checked for correlation.
 - Multiple sampling techinuqies are evaluated. The data set is split into train and test.
 - All the above said modelling techniques are tried and evaluated. The final metric used to evaluate is mean squared error.

## To excute the script
python < scriptname.py >
text-correction-utils 0.1.4
Utilities for text correction tasks using Deep NLP
Requires Python: >=3.8
Keywords: nlp,utilities,text,correction

## Text correction utilities

This repository contains Python utilities (backed by Rust) used in many Deep 
Learning based NLP applications.

It is mainly designed to be used for whitespace correction, 
spelling correction, and similar tasks.

You can install the Python package from PyPI via

> pip install text-correction-utils
forth-kernel 0.3
A Forth kernel for IPython (Fork of https://github.com/jdfreder/iforth)

# IForth

Forth kernel for the Jupyter / IPython notebook.  Requires IPython 3.x (master at the time of writing).

## Installation
1. Install [Gforth](https://www.gnu.org/software/gforth/).  Make sure it is accessible via the commandline/terminal (`gforth --version`).
2. Run `pip install iforth`

### Development Installation
Clone this repository and do an [editable `pip` install](https://pip.pypa.io/en/stable/topics/local-project-installs/#editable-installs) in this repository's folder:
```bash
pip install -e .
jupyter kernelspec install ./kernelspec --user   
```

**Note:** `jupyter kernelspec install` is required here, because unlike in normal install, the kernel does NOT automatically show in `jupyter kernelspec list`.

## Usage
- Run `jupyter notebook` (or `ipython notebook`, whichever you prefer).
- In a new or existing notebook, use the kernel selector (located at the top right of the notebook) to select `IForth`.