Running various classifier Algorithms on UCI Adult Data Set

We all Know that machine learning on a broad scale is classified into two broad categories Supervised and Unsupervised machine learning Algorithms.

Supervised Machine learning can further be used for classification or regression problems.

My aim is to achieve an accuracy level above 86% that beats the benchmarks of several papers.

So what is the UCI Adult Data set ??

Well to summarise it categorises whether a person has income above 50k or below 50k.
This data set was an outcome of the 1994 census survey.

You can read more about it at https://archive.ics.uci.edu/ml/datasets/Adult

It has limited data and has some missing values but its great to experiment out with.

Looks like we have know what the data set is so wait for the next post in which i will be showing some insights , by using simple visualisation Techniques

 

 

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