In this notebook, I use different dimension reduction techniques and clustering methods so we can gain insights from the data.

xi hyper_tuning process in OPTICS algorithm.

In R mlr workflow gives us a wide range of option to use different regression models and optimize them to increase prediction accuracy . In this project I showcased all of the regression models we know and how can we optimize them

practice,practice, practice!!!!

In this markdown I fitted linear regression model for prediction , Also tried some hyperparameter tuning techniques and selected reliable features using filter method.

Time series with ARIMA, TSLM , ETS model for forcasting

I tried different forecasting methods here.

my anime list data analysis(far from over though)

Here I fitted a model for famous titanic dataset,Thank you!!:)

This was a EDA project I was inspired by and made it my own after trying out different things, ENJOY!!!!

These are some statistical technique which I learned and practiced