[vc_row full_width=”stretch_row_content_no_spaces” content_placement=”middle” u_row_style=”0″ u_row_paralax=”0″ u_row_scheme=”0″ css=”.vc_custom_1620232959670{background-position: center !important;background-repeat: no-repeat !important;background-size: contain !important;}”][vc_column][vc_single_image image=”6718″ img_size=”full” alignment=”center”][/vc_column][/vc_row][vc_row][vc_column width=”1/6″][vc_icon icon_fontawesome=”fa fa-home” color=”custom” background_style=”rounded-less” background_color=”custom” size=”lg” align=”center” custom_color=”#2f4858″ link=”url:http%3A%2F%2Fdcc.umd.edu%2Fcapstone22|title:Capstone%202022||”][/vc_column][vc_column width=”1/6″][vc_icon type=”entypo” icon_entypo=”entypo-icon entypo-icon-graduation-cap” color=”custom” size=”lg” align=”center” custom_color=”#2f4858″ link=”url:http%3A%2F%2Fdcc.umd.edu%2Fcapstone22%2Flambda%2F|title:Lambda%20Class||”][/vc_column][vc_column width=”1/6″][vc_icon type=”entypo” icon_entypo=”entypo-icon entypo-icon-mic” color=”custom” size=”lg” align=”center” custom_color=”#2f4858″ link=”url:http%3A%2F%2Fdcc.umd.edu%2Fcapstone22%2Ffair%2F|title:Live%20Fair||”][/vc_column][vc_column width=”1/6″][vc_icon type=”material” icon_material=”vc-material vc-material-perm_media” color=”custom” size=”lg” align=”center” custom_color=”#2f4858″ link=”url:http%3A%2F%2Fdcc.umd.edu%2Fcapstone22%2Fprojects%2F|title:Digital%20Projects||”][/vc_column][vc_column width=”1/6″][vc_icon type=”openiconic” icon_openiconic=”vc-oi vc-oi-book-open” color=”custom” size=”lg” align=”center” custom_color=”#2f4858″ link=”url:http%3A%2F%2Fdcc.umd.edu%2Fcapstone22%2Fbook%2F|title:Lambda%20Keepsake%20Book||”][/vc_column][vc_column width=”1/6″][vc_icon icon_fontawesome=”fa fa-trophy” color=”custom” size=”lg” align=”center” custom_color=”#2f4858″ link=”url:http%3A%2F%2Fdcc.umd.edu%2Fcapstone22%2Fawards%2F|title:Awards||”][/vc_column][/vc_row][vc_row full_width=”stretch_row_content” u_row_style=”0″ u_row_paralax=”0″ u_row_scheme=”0″ css=”.vc_custom_1619622003381{background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}”][vc_column width=”1/6″][/vc_column][vc_column width=”2/3″][vc_custom_heading text=”Tanaya Jha, “Predicting Music Genres using Spotify’s Audio Features“” font_container=”tag:h1|font_size:32|text_align:left|color:%235bc0b2″ google_fonts=”font_family:Arimo%3Aregular%2Citalic%2C700%2C700italic|font_style:400%20regular%3A400%3Anormal”][/vc_column][vc_column width=”1/6″][/vc_column][/vc_row][vc_row][vc_column][vc_empty_space][/vc_column][/vc_row][vc_row][vc_column][vc_single_image image=”6951″ img_size=”large” alignment=”center” onclick=”custom_link” img_link_target=”_blank”][/vc_column][/vc_row][vc_row u_row_style=”0″ u_row_paralax=”0″ u_row_scheme=”0″][vc_column width=”1/4″][/vc_column][vc_column width=”1/2″][vc_custom_heading text=”In this project, I tie together two of my interests, music and programming in order to be able to understand music from a programming perspective. The end product is a document that outlines my thinking process as I attempt each step of the data science process (with code) in my first independent machine learning project. The process is broken down into four main parts:creating the dataset, analyzing the data to gain some insights, building a couple machine learning models, and a discussion reflecting upon my work. From analyzing the dataset, it looked like danceability, energy, and valence had the greatest difference in distribution across the genres. The models chosen was a decision tree classifier and a gradient boosting classifier, both of which are known to work well with multi-class classification problems. I learned that tuning is a very complicated process that requires a bit more background knowledge to efficiently navigate because of the many parameters that can take on a wide range of values.Finding the optimal combination is not a straightforward task, but I picked a few common parameters and attempted to find a ballpark of values where the model worked best on new data. I was able to achieve an 0.84 prediction accuracy on the test dataset using the gradient boosting algorithm, but it should be noted that the test dataset is a very small selection of data.In the future, the models can benefit from being trained on more diverse data, going through amore rigorous optimization process, and testing on a larger sample.” font_container=”tag:h1|font_size:26|text_align:left|color:%236d6f71″ google_fonts=”font_family:Archivo%20Narrow%3Aregular%2Citalic%2C700%2C700italic|font_style:400%20regular%3A400%3Anormal”][vc_empty_space height=”10px”][vc_btn title=”Click here to explore PREDICTING MUSIC GENRES” shape=”square” color=”white” align=”center” i_icon_fontawesome=”fa fa-sign-out” add_icon=”true” link=”url:http%3A%2F%2Fdcc.umd.edu%2Fwp-content%2Fuploads%2F2022%2F05%2FTanaya_Capstone.html||target:%20_blank|” css=”.vc_custom_1652296170245{border-radius: 2px !important;}”][/vc_column][vc_column width=”1/4″][/vc_column][/vc_row][vc_row][vc_column][vc_empty_space height=”10px”][vc_separator color=”custom” border_width=”3″ accent_color=”#5bc0b2″][vc_btn title=”© Design Cultures & Creativity, 2022″ style=”classic” color=”white” size=”sm” align=”center” link=”url:http%3A%2F%2Fdcc.umd.edu||target:%20_blank|”][/vc_column][/vc_row][vc_row][vc_column width=”1/5″][/vc_column][vc_column width=”1/5″][vc_icon icon_fontawesome=”fa fa-envelope-o” color=”custom” align=”center” custom_color=”#2f4858″ link=”url:mailto%3Adcc-honors%40umd.edu|||”][/vc_column][vc_column width=”1/5″][vc_icon icon_fontawesome=”fa fa-instagram” color=”custom” align=”center” custom_color=”#2f4858″ link=”url:http%3A%2F%2Finstagram.com%2Fumd_dcc||target:%20_blank|”][/vc_column][vc_column width=”1/5″][vc_icon icon_fontawesome=”fa fa-twitter” color=”custom” align=”center” custom_color=”#2f4858″ link=”url:http%3A%2F%2Ftwitter.com%2Fumd_dcc|||”][/vc_column][vc_column width=”1/5″][/vc_column][/vc_row]