The problem Data Preprocessor for Machine Learning solves

1. Real world data is not always in suitable format
2. Data pre processing is time consuming
3. Manual data processing are prone to errors
4. Errors in dataset tests the patience of programmers ultimately resulting in loss of interest and concentration

We build a model which can do Machine learning data pre processing.
With this model in our hands , ML enthusiast need not waste 7-8 hours to process their data, Every step in pre processing can be done under 30 secs using our model. Our model can do the following tasks

Describing the data based on choice entered by the user
Encoding Variable to Number to fit the requirements of Machine Learning Model
Scaling of a particular feature in the Dataset (Standardization & Normalization
Final Dataset download after modifications
Null values/Missing values on dataset are replaced according to users choice

Challenges we ran into

Integrating the Command line interface
Integration of all pre processing tasks into a single python file
Experimenting with different algorithmns for pre processing was challenging
Combining all possible Tasks under a single roof