# Iltelligent Machine Learning Task using Python
[](https://www.python.org/)
[](https://www.python.org/downloads/release/python-360/)
## Functionality of the Package
- hd_and_dp(dataPath) : Both handle duplication and data preprocessing by sending the dataset url or path link.
- handle_duplication(dataPath) : Handle duplication by sending the dataset url or path link.
- dataPreprocessing(dataPath) : Data preprocessing by sending the dataset url or path link.
## Usage
- Make sure you have Python installed in your system.
- Run Following command in the CMD.
```
pip install intelligentML
```
## Example-1
```
# test.py:
from intelligentML import hd_and_dp
url = "example.csv"
finalDataset = hd_and_dp(url)
print(f"Final Preprocessed Dataset: \n{finalDataset}")
```
## Example-2
```
# test.py:
from intelligentML import handle_duplication
url = "example.csv"
NoDupDataset = handle_duplication(url)
print(f"Dataset Without Duplications: \n{NoDupDataset}")
```
## Example-3
```
# test.py:
from intelligentML import dataPreprocessing
url = "example.csv"
PreproccessedDataset = dataPreprocessing(url)
print(f"Preprocessed Dataset: \n{PreproccessedDataset}")
```
## Run the following Script.
```
python test.py
```
## Note
- It is a very tiny package according to the large ML areas. I will update the package till to advance.
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