Homoscedasticity is not something to be fixed. As described byJoshua Isaac Walters, "the assumption of homoscedasticity simplifies mathematical and computational treatment and usually leads to adequate estimation results (e.g. in data mining) even if the assumption is not true."
You may be able to transform your data to make it more homoscedastic. Examples: log, 1/x, x^2 etc.