Examples for Optimus a Data Cleansing Library for Big Data.

Table Enforcer is my attempt to apply a sort of "test driven development" workflow to data cleaning and validation. A python package to facilitate the iterative process of developing and using schema-like representations of DataFrames in pandas for recoding and validating instances of these data.

Data cleansing and validation for Data Science Master degree

Programs I write for my Data Mining course

CSVParser is a tool to parse csv file using univocity and commons csv parsers. It cleans new line (\n) character & special characters between data. It also handle various garbage data like odd no of quotes or delimiters in side quotes. It validate each record with specified delimiter count and separate it out to _GoodRecords.CSV and _BadRecords.…

we use keras and tensorflow and sklearn to classify health level of student by using Nursey UCI Dataset

A Scalable Data Cleaning Library for PySpark.

Coursera Assignments

This course by University of Michigan introduces the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will also introduces data manipulation and cleaning techniques using python pandas data science library.

This project is an internal project with INTEL where a framework for monitoring data quality from disparate sources and automating it using python.

Data cleaning, analysing in excel and finally creating a dashboard in Tableau as part of the KPMG virtual internship.

cleaning bookellar data using tableau

This is the curated pile of notebooks/small projects which contains linear and non-linear regression models.

There are 8 Courses in this Professional Certificate : Data Foundations - by Google

Random Forest Classification