The field of genomics is vast and innovation is happening at a rapid pace today. With the availability of lots of medical data and extensive research, the tools at our disposal are sharper than ever. One such tool that has quite a lot of untapped potential is Machine Learning. Machine Learning is the field of computer science that gives computers the ability to understand data and make decisions based on that understanding, in quite a similar way as we humans do. Machine learning has proven to be the next big thing in almost all industries today including medicine. The use of Machine Learning in the field of genomics however, is yet to reach its true momentum. With the help of machine learning, patterns in genetic data can be found that were unknown to us earlier and these patterns can be very useful in making conclusions about diseases and disorders that are inherently genetic in nature. In this work, we have classified the patients based on the two cancer classes, namely acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL).