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In this chapter, we study various methods of FBMC equalizers. We propose machine learning-based equalization techniques for the FBMC system. For this task, we develop the equalizer using three variants of SVM, namely Linear SVM, Quadratic SVM, and Cubic SVM. The BER performances of these methods are compared with that of the well-known One-Tap and Full Block MMSE equalizers. It was found from the simulation results that the proposed SVM based equalizer has better performance than that of the conventional methods. Moreover, the performances of the SVM based equalizers are compared among themselves in terms of RMSE and training time which shows that the CSVM outperformed the LSVM and QSVM in terms of both the RMSE and training time.