Use up to $50$ points for the three languages, create and fit a regression model using the Newton Gregory $($Polynomials a $5^{th})$ order polynomial models for frequency ranges $(100$ and to $200)$ for both FFT power spectrum for both male and female. Write your own code $($any coding platform: c$++,$ matlab, or python$),$ to verify the models and to verify your results. I prefer python coding if possible. $(5$ marks$).$

Use up to $50$ points for the three languages, create and fit a regression model using the LSE $-$ Least Square Error algorithm $-($Polynomials a $5^{th})$ order polynomial models for frequency ranges $(100$ and to $200)$ for both FFT power spectrum for both male and female. Write your own code $($any coding platform: c$++,$ matlab, or python$),$ to verify the models and to verify your results. I prefer python coding if possible. $(5$ marks$).$