{"id":5813,"date":"2019-09-09T12:20:38","date_gmt":"2019-09-09T06:50:38","guid":{"rendered":"https:\/\/cahcet.in\/index.php\/2019\/09\/09\/workshop-on-data-analytics-machine-learning\/"},"modified":"2019-09-09T12:20:38","modified_gmt":"2019-09-09T06:50:38","slug":"workshop-on-data-analytics-machine-learning","status":"publish","type":"post","link":"https:\/\/cahcet.in\/?p=5813","title":{"rendered":"Workshop on \u201cData Analytics &#038; Machine Learning\u201d"},"content":{"rendered":"<p>[vc_row][vc_column width=\\&#8221;1\/2\\&#8221;][vc_column_text]<\/p>\n<p style=\\\"text-align: justify;\\\"><span style=\\\"color: #000000;\\\">Department of Computer Science and Engineering organized Two Days Workshop on \u201cData Analytics &amp; Machine Learning\u201d \u00a0in association with CSI &amp; Kalam Trust, Bangalore on 30.08.2019 &amp; 31.08.2019 for third-year computer science and engineering students.\u00a0The intent of this workshop is to make students aware in Analytics so that they can quickly start working towards the dream job in Analytics space post their Graduation.<\/span><\/p>\n<p style=\\\"text-align: justify;\\\"><span style=\\\"color: #000000;\\\">The first session was an introduction to Data Analytics. The second session was completely Hands-on, the following areas are covered in this session.<\/span><\/p>\n<div><strong><span style=\\\"color: #000000;\\\">DATA ANALYTICS:<\/span><\/strong><\/div>\n<div>\n<ul>\n<li><span style=\\\"color: #000000;\\\">Exploratory Data Analytics<\/span><\/li>\n<li><span style=\\\"color: #000000;\\\">How to import data in R<\/span><\/li>\n<li><span style=\\\"color: #000000;\\\">Univariate Analysis<\/span><\/li>\n<li><span style=\\\"color: #000000;\\\">Bivariate Analysis<\/span><\/li>\n<li><span style=\\\"color: #000000;\\\">Multivariate Analysis<\/span><\/li>\n<li><span style=\\\"color: #000000;\\\">How to dig deep into the data to get insights<\/span><\/li>\n<\/ul>\n<div><strong><span style=\\\"color: #000000;\\\">Visualization Techniques<\/span><\/strong><\/div>\n<ul>\n<li><span style=\\\"color: #000000;\\\">\u00a0 \u00a0 \u00a0 Scatter Plot<\/span><\/li>\n<li><span style=\\\"color: #000000;\\\">\u00a0 \u00a0 \u00a0 Bar Chart<\/span><\/li>\n<li><span style=\\\"color: #000000;\\\">\u00a0 \u00a0 \u00a0 Line Chart<\/span><\/li>\n<li><span style=\\\"color: #000000;\\\">\u00a0 \u00a0 \u00a0 Histograms<\/span><\/li>\n<li><span style=\\\"color: #000000;\\\">\u00a0 \u00a0 \u00a0 Boxplot\u00a0\u00a0<\/span><\/li>\n<\/ul>\n<p><span style=\\\"color: #000000;\\\">The third session was also completely Hands-on,the following areas are covered in this session.<\/span><\/p>\n<div>\n<p><strong><span style=\\\"color: #000000;\\\">Hands-on R Language<\/span><\/strong><span style=\\\"color: #000000;\\\">\u00a0 \u00a0 \u00a0<\/span><\/p>\n<div>\n<ul>\n<li><span style=\\\"color: #000000;\\\">\u00a0 \u00a0 \u00a0Arithmetic operations using R<\/span><\/li>\n<li><span style=\\\"color: #000000;\\\">\u00a0 \u00a0 \u00a0Looping statements<\/span><\/li>\n<li><span style=\\\"color: #000000;\\\">\u00a0 \u00a0 \u00a0Functions in R<\/span><\/li>\n<li><span style=\\\"color: #000000;\\\">\u00a0 \u00a0 \u00a0Different data types<\/span><\/li>\n<\/ul>\n<p><span style=\\\"color: #000000;\\\">Data manipulation using below packages<\/span><br \/>\n<span style=\\\"color: #000000;\\\">\u00a0 \u00a0 \u00a0 dplyr<\/span><br \/>\n<span style=\\\"color: #000000;\\\">\u00a0 \u00a0 \u00a0 ggplot2<\/span><\/p>\n<p><span style=\\\"color: #000000;\\\">The final session was also completely Hands-on, the following areas are covered in this session.<\/span><\/p>\n<p><strong><span style=\\\"color: #000000;\\\">MACHINE LEARNING:<\/span><\/strong><\/p>\n<ul>\n<li><span style=\\\"color: #000000;\\\">Explanation of Algorithms, Machine Learning Techniques<\/span><\/li>\n<li><span style=\\\"color: #000000;\\\">Case Studies on \u00a0Linear Regression, Logistic Regression and Clustering Techniques using real-time data sets<\/span><\/li>\n<\/ul>\n<p style=\\\"text-align: justify;\\\"><span style=\\\"color: #000000;\\\">Resource persons are from various IT companies. They are primarily working on leveraging data science, advanced analytics, machine learning to build large- scale intelligent systems. <\/span><span style=\\\"color: #000000;\\\">Mr.Mathivaanan, Sr. Data Engineer, Quantiphi, Worked on Python, R, ML Techniques &amp; Recommendation Systems.\u00a0<\/span><span style=\\\"color: #000000;\\\">Mr. Karthik P, Sr. ML Engineer, Accenture, Worked on R, ML Techniques &amp; NLP.\u00a0<\/span><span style=\\\"color: #000000;\\\">Mr. Thilak Sundar, Sr. Data Analyst,\u00a0\u00a0Free Lancer,\u00a0\u00a0Worked on Data Mining, R &amp; Visualization Techniques.\u00a0<\/span><span style=\\\"color: #000000;\\\">Mr.\u00a0Ram Reddy,\u00a0Data Scientist,\u00a0Bridge i2i, Worked on Python, R, ML Techniques,\u00a0QlikView, Visualization Techniques.<\/span><\/p>\n<p style=\\\"text-align: justify;\\\"><span style=\\\"color: #000000;\\\">The resource person was also addressed various job opportunities in the field of Data Analytics and Machine Learning for final years too. <\/span><span style=\\\"color: #000000;\\\">This workshop was organized to facilitate the student to effectively learn Data Analytics in R language and Machine Learning tools &amp; techniques to undertake projects and research work in their final years. <\/span><span style=\\\"color: #000000;\\\">This Two Days Workshop on \\&#8221;Data Analytics &amp; Machine Learning\\&#8221; was well coordinated by the Computer Science and Engineering department faculties, Mr. S. Suresh &amp; Mr. P. Nandakumar and it was wholeheartedly supported by the Head of the Department, Mrs. Dr. S.Sheik Faritha Begum.<\/span><\/p>\n<div class=\\\"yj6qo ajU\\\" style=\\\"text-align: justify;\\\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>[\/vc_column_text][\/vc_column][vc_column width=\\&#8221;1\/2\\&#8221;][vc_gallery type=\\&#8221;flexslider_slide\\&#8221; interval=\\&#8221;3\\&#8221; images=\\&#8221;5816,5815,5814\\&#8221; img_size=\\&#8221;large\\&#8221;][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[vc_row][vc_column width=\\&#8221;1\/2\\&#8221;][vc_column_text] Department of Computer Science and Engineering organized Two Days Workshop on \u201cData Analytics &amp; Machine Learning\u201d \u00a0in association with CSI &amp; Kalam Trust, Bangalore on 30.08.2019 &amp; 31.08.2019 for third-year computer science and engineering students.\u00a0The intent of this workshop is to make students aware in Analytics so that they can quickly start working [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":5814,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_editorskit_title_hidden":false,"_editorskit_reading_time":0,"_editorskit_is_block_options_detached":false,"_editorskit_block_options_position":"{}","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center 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