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My Analytic鈥檚 Arena

<!DOCTYPE HTML><html lang="en"><head><title>My Analytic鈥檚 Arena</title><meta charset="utf-8" /><meta name="viewport" content="width=device-width,initial-scale=1" /><meta name="color-scheme" content="light only" /><meta name="description" content="My Analytic鈥檚 Arena of projects" /><meta property="og:site_name" content="My Analytic鈥檚 Arena" /><meta property="og:title" content="My Analytic鈥檚 Arena" /><meta property="og:type" content="website" /><meta property="og:description" content="My Analytic鈥檚 Arena of projects" /><meta property="og:image" content="https://ansababyportfolio.carrd.co/assets/images/card.jpg?v=c3a23a2a" /><meta property="og:image:type" content="image/jpeg" /><meta property="og:image:width" content="1280" /><meta property="og:image:height" content="800" /><meta property="og:url" content="https://ansababyportfolio.carrd.co" /><meta property="twitter:card" content="summary_large_image" /><link rel="canonical" href="https://ansababyportfolio.carrd.co" /><link 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0.4725px);}.container.style2.columns > .wrapper > .inner > div > .full:first-child {margin-top: calc(var(--padding-vertical) * -1) !important;}.container.style2.columns > .wrapper > .inner > div > .full:last-child {margin-bottom: calc(var(--padding-vertical) * -1) !important;}.container.style2.columns > .wrapper > .inner > div:first-child, .container.style2.columns > .wrapper > .inner > div:first-child > .full:first-child {border-top-left-radius: inherit;}.container.style2.columns > .wrapper > .inner > div:last-child, .container.style2.columns > .wrapper > .inner > div:last-child > .full:first-child {border-top-right-radius: inherit;}.container.style2.columns > .wrapper > .inner > .full {align-self: stretch;}.container.style2.columns > .wrapper > .inner > .full:first-child {border-bottom-left-radius: inherit;border-top-left-radius: inherit;}.container.style2.columns > .wrapper > .inner > .full:last-child {border-bottom-right-radius: inherit;border-top-right-radius: inherit;}.container.style2.columns > .wrapper > .inner > .full > .full:first-child:last-child {border-radius: inherit;height: calc(100% + (var(--padding-vertical) * 2));}.container.style2.columns > .wrapper > .inner > .full > .full:first-child:last-child > * {border-radius: inherit;height: 100%;position: absolute;width: 100%;}.container.style1 {--alignment: left;--flex-alignment: flex-start;--indent-left: 1;--indent-right: 0;--margin-left: 0;--margin-right: auto;display: flex;width: 100%;align-items: center;justify-content: center;background-attachment: scroll;border-radius: 1.25rem;}.container.style1:not(:first-child) {margin-top: 6rem !important;}.container.style1:not(:last-child) {margin-bottom: 6rem !important;}.container.style1 > .wrapper > .inner {--gutters: calc(var(--padding-horizontal) * 2);padding: var(--padding-vertical) var(--padding-horizontal);border-radius: calc(1.25rem - 10px);z-index: 2;}.container.style1 > .wrapper {max-width: var(--width);width: 100%;}.container.style1.default > .wrapper > .inner > * {margin-bottom: var(--spacing);margin-top: var(--spacing);}.container.style1.default > .wrapper > .inner > *:first-child {margin-top: 0 !important;}.container.style1.default > .wrapper > .inner > *:last-child {margin-bottom: 0 !important;}.container.style1.columns > .wrapper > .inner {flex-wrap: wrap;display: flex;align-items: flex-start;}.container.style1.columns > .wrapper > .inner > * {flex-grow: 0;flex-shrink: 0;max-width: 100%;text-align: var(--alignment);padding: 0 0 0 var(--gutters);}.container.style1.columns > .wrapper > .inner > * > * {margin-bottom: var(--spacing);margin-top: var(--spacing);}.container.style1.columns > .wrapper > .inner > * > *:first-child {margin-top: 0 !important;}.container.style1.columns > .wrapper > .inner > * > *:last-child {margin-bottom: 0 !important;}.container.style1.columns > .wrapper > .inner > *:first-child {margin-left: calc(var(--gutters) * -1);}.container.style1.default > .wrapper > .inner > .full {margin-left: calc(var(--padding-horizontal) * -1);max-width: none !important;width: calc(100% + (var(--padding-horizontal) * 2) + 0.4725px);}.container.style1.default > .wrapper > .inner > .full:first-child {margin-top: calc(var(--padding-vertical) * -1) !important;border-top-left-radius: inherit;border-top-right-radius: inherit;}.container.style1.default > .wrapper > .inner > .full:last-child {margin-bottom: calc(var(--padding-vertical) * -1) !important;border-bottom-left-radius: inherit;border-bottom-right-radius: inherit;}.container.style1.columns > .wrapper > .inner > div > .full {margin-left: calc(var(--gutters) * -0.5);max-width: none !important;width: calc(100% + var(--gutters) + 0.4725px);}.container.style1.columns > .wrapper > .inner > div:first-child > .full {margin-left: calc(var(--padding-horizontal) * -1);width: calc(100% + var(--padding-horizontal) + calc(var(--gutters) * 0.5) + 0.4725px);}.container.style1.columns > .wrapper > .inner > div:last-child > .full {width: calc(100% + var(--padding-horizontal) + calc(var(--gutters) * 0.5) + 0.4725px);}.container.style1.columns > .wrapper > .inner > div > .full:first-child {margin-top: calc(var(--padding-vertical) * -1) !important;}.container.style1.columns > .wrapper > .inner > div > .full:last-child {margin-bottom: calc(var(--padding-vertical) * -1) !important;}.container.style1.columns > .wrapper > .inner > div:first-child, .container.style1.columns > .wrapper > .inner > div:first-child > .full:first-child {border-top-left-radius: inherit;}.container.style1.columns > .wrapper > .inner > div:last-child, .container.style1.columns > .wrapper > .inner > div:last-child > .full:first-child {border-top-right-radius: inherit;}.container.style1.columns > .wrapper > .inner > .full {align-self: stretch;}.container.style1.columns > .wrapper > .inner > .full:first-child {border-bottom-left-radius: inherit;border-top-left-radius: inherit;}.container.style1.columns > .wrapper > .inner > .full:last-child {border-bottom-right-radius: inherit;border-top-right-radius: inherit;}.container.style1.columns > .wrapper > .inner > .full > .full:first-child:last-child {border-radius: inherit;height: calc(100% + (var(--padding-vertical) * 2));}.container.style1.columns > .wrapper > .inner > .full > .full:first-child:last-child > * {border-radius: inherit;height: 100%;position: absolute;width: 100%;}.container.style1:after {background-color: var(--onvisible-background-color, #8F8F8F);border-radius: inherit;content: '';display: block;height: 100%;left: 0;pointer-events: none;position: absolute;top: 0;transition-delay: var(--onvisible-delay, 0s);transition-duration: var(--onvisible-speed, 1s);transition-property: background-color;transition-timing-function: ease;width: 100%;z-index: 1;}#container10 {background-image: linear-gradient(to top, rgba(56,56,56,0.471), rgba(56,56,56,0.471)), url('assets/images/container10.jpg?v=c3a23a2a');background-position: 0% 0%, 50% 50%;background-repeat: repeat, repeat;background-size: auto, cover;}#container09 {background-image: linear-gradient(to top, rgba(56,56,56,0.471), rgba(56,56,56,0.471)), url('assets/images/container09.jpg?v=c3a23a2a');background-position: 0% 0%, 50% 50%;background-repeat: repeat, repeat;background-size: auto, cover;}#container07 {background-image: linear-gradient(to top, rgba(56,56,56,0.471), rgba(56,56,56,0.471)), url('assets/images/container07.jpg?v=c3a23a2a');background-position: 0% 0%, 50% 50%;background-repeat: repeat, repeat;background-size: auto, cover;}#container06 {background-image: linear-gradient(to top, rgba(56,56,56,0.471), rgba(56,56,56,0.471)), url('assets/images/container06.jpg?v=c3a23a2a');background-position: 0% 0%, 50% 50%;background-repeat: repeat, repeat;background-size: auto, cover;}#container08 {background-image: linear-gradient(to top, rgba(56,56,56,0.471), rgba(56,56,56,0.471)), url('assets/images/container08.jpg?v=c3a23a2a');background-position: 0% 0%, 50% 50%;background-repeat: repeat, repeat;background-size: auto, cover;}#container02 {background-image: linear-gradient(to top, rgba(56,56,56,0.471), rgba(56,56,56,0.471)), url('assets/images/container02.jpg?v=c3a23a2a');background-position: 0% 0%, 50% 50%;background-repeat: repeat, repeat;background-size: auto, cover;}#container03 {background-image: linear-gradient(to top, rgba(56,56,56,0.471), rgba(56,56,56,0.471)), url('assets/images/container03.jpg?v=c3a23a2a');background-position: 0% 0%, 50% 50%;background-repeat: repeat, repeat;background-size: auto, cover;}#container01 {background-image: linear-gradient(to top, rgba(56,56,56,0.471), rgba(56,56,56,0.471)), url('assets/images/container01.jpg?v=c3a23a2a');background-position: 0% 0%, 50% 50%;background-repeat: repeat, repeat;background-size: auto, cover;}.image {display: block;line-height: 0;max-width: 100%;position: relative;}.image .frame {-webkit-backface-visibility: hidden;-webkit-transform: translate3d(0, 0, 0);display: inline-block;max-width: 100%;overflow: hidden;vertical-align: top;width: 100%;}.image .frame img {border-radius: 0 !important;max-width: 100%;vertical-align: top;width: inherit;}.image.full .frame {display: block;}.image.full:first-child .frame {border-top-left-radius: inherit;border-top-right-radius: inherit;}.image.full:last-child .frame {border-bottom-left-radius: inherit;border-bottom-right-radius: inherit;}#image02 .frame {max-width: 100%;width: auto;transition: none;}#image02 .frame img {transition: none;}#image03 .frame {max-width: 100%;width: auto;transition: none;}#image03 .frame img {transition: none;}#image01:not(:first-child) {margin-top: 0.875rem !important;}#image01:not(:last-child) {margin-bottom: 0.875rem !important;}#image01 .frame {width: 73.125rem;height: 8.875rem;transition: none;}#image01 img {height: 100% !important;object-fit: cover;object-position: center;width: 100% !important;}#image01 .frame img {transition: none;}#image05 .frame {width: 80.375rem;height: 13.5rem;transition: none;}#image05 img {height: 100% !important;object-fit: cover;object-position: center;width: 100% !important;}#image05 .frame img {transition: none;}#image04 .frame {width: 86.75rem;height: 8.75rem;transition: none;}#image04 img {height: 100% !important;object-fit: cover;object-position: center;width: 100% !important;}#image04 .frame img {transition: none;}.icc-credits {display: block;opacity: 1 !important;position: relative;transition-delay: 0s !important;}.icc-credits span {border-radius: 24px;cursor: pointer;display: inline-block;font-family: Arial, sans-serif;font-size: 12px;letter-spacing: 0;line-height: 1;position: relative;text-decoration: none;width: auto;}.icc-credits span a {display: inline-block;padding: 0.5em 0.375em;position: relative;text-decoration: none;transition: color 0.25s ease, transform 0.25s ease;z-index: 1;}.icc-credits span a:before {content: '( ';opacity: 1;transition: opacity 0.25s ease;}.icc-credits span a:after {content: ' )';opacity: 1;transition: opacity 0.25s ease;}.icc-credits span::after {background-image: linear-gradient(30deg, #A464A1 15%, #3B5DAD 85%);border-radius: inherit;box-shadow: 0 0.25em 1.25em 0 rgba(0,0,0,0.25);content: '';display: block;height: calc(100% + 2px);left: -1px;opacity: 0;pointer-events: none;position: absolute;top: -1px;transition: opacity 0.25s ease, box-shadow 0.25s ease, transform 0.25s ease;width: calc(100% + 2px);}.icc-credits span:hover {text-transform: none !important;}.icc-credits span:hover a {color: #ffffff !important;transform: scale(1.1) translateY(-0.05rem);}.icc-credits span:hover a:before {opacity: 0;}.icc-credits span:hover a:after {opacity: 0;}.icc-credits span:hover::after {opacity: 1;transform: scale(1.1) translateY(-0.05rem);}#credits span {background-color: rgba(80,80,80,0.5);color: rgba(224,224,224,0.75);margin-top: 1.5rem !important;}#credits span a:before {opacity: 0;}#credits span a:after {opacity: 0;}@media (max-width: 1920px) {}@media (max-width: 1680px) {html {font-size: 12pt;}}@media (max-width: 1280px) {html {font-size: 12pt;}}@media (max-width: 1024px) {}@media (max-width: 980px) {html {font-size: 11pt;}}@media (max-width: 736px) {html {font-size: 11pt;}#main > .inner {--padding-horizontal: 2rem;--padding-vertical: 3.5rem;--spacing: 1.5rem;}h1.style1, h2.style1, h3.style1, p.style1 {letter-spacing: -0.021875rem;width: 100%;font-size: 2.5em;line-height: 1.25;}h1.style2, h2.style2, h3.style2, p.style2 {letter-spacing: -0.021875rem;width: 100%;font-size: 0.875em;line-height: 1.5;}h1.style3, h2.style3, h3.style3, p.style3 {letter-spacing: -0.04375rem;width: 100%;font-size: 2.5em;line-height: 1.25;}h1.style4, h2.style4, h3.style4, p.style4 {letter-spacing: 0rem;width: 100%;font-size: 1em;line-height: 2;}.buttons.style1 {gap: 1rem;}.buttons.style1:not(:first-child) {margin-top: 2.25rem !important;}.buttons.style1:not(:last-child) {margin-bottom: 2.25rem !important;}.buttons.style1 li a {letter-spacing: 0rem;font-size: 1em;}.buttons.style1 li a svg {width: 1.25em;}.icons.style1 {font-size: 1.75em;gap: 1.5rem;}.icons.style1:not(:first-child) {margin-top: 2.25rem !important;}.icons.style1:not(:last-child) {margin-bottom: 2.25rem !important;}.container.style2:not(:first-child) {margin-top: 2.625rem !important;}.container.style2:not(:last-child) {margin-bottom: 2.625rem !important;}.container.style2 > .wrapper > .inner {--gutters: 5rem;}.container.style2.columns > .wrapper > .inner {flex-direction: column !important;flex-wrap: nowrap !important;}.container.style2.columns > .wrapper > .inner > span {height: 0;margin-top: calc(var(--gutters) * -1);pointer-events: none;visibility: hidden;}.container.style2.columns > .wrapper > .inner > *:first-child {margin-left: 0 !important;padding-top: 0 !important;}.container.style2.columns > .wrapper > .inner > * {padding: calc(var(--gutters) * 0.5) 0 !important;}.container.style2.columns > .wrapper > .inner > *:last-child {padding-bottom: 0 !important;}.container.style2.columns > .wrapper > .inner > div > .full {margin-left: calc(var(--padding-horizontal) * -1);width: calc(100% + (var(--padding-horizontal) * 2) + 0.4725px);}.container.style2.columns > .wrapper > .inner > div:first-of-type > .full {margin-left: calc(var(--padding-horizontal) * -1);width: calc(100% + (var(--padding-horizontal) * 2) + 0.4725px);}.container.style2.columns > .wrapper > .inner > div:last-of-type > .full {margin-left: calc(var(--padding-horizontal) * -1);width: calc(100% + (var(--padding-horizontal) * 2) + 0.4725px);}.container.style2.columns > .wrapper > .inner > div > .full:first-child {margin-top: calc(var(--gutters) * -0.5) !important;}.container.style2.columns > .wrapper > .inner > div > .full:last-child {margin-bottom: calc(var(--gutters) * -0.5) !important;}.container.style2.columns > .wrapper > .inner > div:first-of-type > .full:first-child {margin-top: calc(var(--padding-vertical) * -1) !important;}.container.style2.columns > .wrapper > .inner > div:last-of-type > .full:last-child {margin-bottom: calc(var(--padding-vertical) * -1) !important;}.container.style2.columns > .wrapper > .inner > div:first-of-type, .container.style2.columns > .wrapper > .inner > div:first-of-type > .full:first-child {border-top-left-radius: inherit;border-top-right-radius: inherit;}.container.style2.columns > .wrapper > .inner > div:last-of-type, .container.style2.columns > .wrapper > .inner > div:last-of-type > .full:last-child {border-bottom-left-radius: inherit;border-bottom-right-radius: inherit;}.container.style2.columns > .wrapper > .inner > div:first-of-type, .container.style2.columns > .wrapper > .inner > div:first-of-type > .full:last-child {border-bottom-left-radius: 0 !important;}.container.style2.columns > .wrapper > .inner > div:last-of-type, .container.style2.columns > .wrapper > .inner > div:last-of-type > .full:first-child {border-top-right-radius: 0 !important;}.container.style2.columns > .wrapper > .inner > .full > .full:first-child:last-child {height: auto;}.container.style2.columns > .wrapper > .inner > .full > .full:first-child:last-child > * {height: auto;position: relative;width: auto;}.container.style1:not(:first-child) {margin-top: 2.625rem !important;}.container.style1:not(:last-child) {margin-bottom: 2.625rem !important;}.container.style1 > .wrapper > .inner {--gutters: calc(var(--padding-vertical) * 2);--padding-vertical: 5rem;}.container.style1.columns > .wrapper > .inner {flex-direction: column !important;flex-wrap: nowrap !important;}.container.style1.columns > .wrapper > .inner > span {height: 0;margin-top: calc(var(--gutters) * -1);pointer-events: none;visibility: hidden;}.container.style1.columns > .wrapper > .inner > *:first-child {margin-left: 0 !important;padding-top: 0 !important;}.container.style1.columns > .wrapper > .inner > * {padding: calc(var(--gutters) * 0.5) 0 !important;}.container.style1.columns > .wrapper > .inner > *:last-child {padding-bottom: 0 !important;}.container.style1.columns > .wrapper > .inner > div > .full {margin-left: calc(var(--padding-horizontal) * -1);width: calc(100% + (var(--padding-horizontal) * 2) + 0.4725px);}.container.style1.columns > .wrapper > .inner > div:first-of-type > .full {margin-left: calc(var(--padding-horizontal) * -1);width: calc(100% + (var(--padding-horizontal) * 2) + 0.4725px);}.container.style1.columns > .wrapper > .inner > div:last-of-type > .full {margin-left: calc(var(--padding-horizontal) * -1);width: calc(100% + (var(--padding-horizontal) * 2) + 0.4725px);}.container.style1.columns > .wrapper > .inner > div > .full:first-child {margin-top: calc(var(--gutters) * -0.5) !important;}.container.style1.columns > .wrapper > .inner > div > .full:last-child {margin-bottom: calc(var(--gutters) * -0.5) !important;}.container.style1.columns > .wrapper > .inner > div:first-of-type > .full:first-child {margin-top: calc(var(--padding-vertical) * -1) !important;}.container.style1.columns > .wrapper > .inner > div:last-of-type > .full:last-child {margin-bottom: calc(var(--padding-vertical) * -1) !important;}.container.style1.columns > .wrapper > .inner > div:first-of-type, .container.style1.columns > .wrapper > .inner > div:first-of-type > .full:first-child {border-top-left-radius: inherit;border-top-right-radius: inherit;}.container.style1.columns > .wrapper > .inner > div:last-of-type, .container.style1.columns > .wrapper > .inner > div:last-of-type > .full:last-child {border-bottom-left-radius: inherit;border-bottom-right-radius: inherit;}.container.style1.columns > .wrapper > .inner > div:first-of-type, .container.style1.columns > .wrapper > .inner > div:first-of-type > .full:last-child {border-bottom-left-radius: 0 !important;}.container.style1.columns > .wrapper > .inner > div:last-of-type, .container.style1.columns > .wrapper > .inner > div:last-of-type > .full:first-child {border-top-right-radius: 0 !important;}.container.style1.columns > .wrapper > .inner > .full > .full:first-child:last-child {height: auto;}.container.style1.columns > .wrapper > .inner > .full > .full:first-child:last-child > * {height: auto;position: relative;width: auto;}#image01:not(:first-child) {margin-top: 0.65625rem !important;}#image01:not(:last-child) {margin-bottom: 0.65625rem !important;}#image01 .frame {width: 73.125rem;height: 11.09375rem !important;}#image01 img {height: 100% !important;object-fit: cover;object-position: center;width: 100% !important;}#image05 .frame {width: 80.375rem;height: 16.875rem !important;}#image05 img {height: 100% !important;object-fit: cover;object-position: center;width: 100% !important;}#image04 .frame {width: 86.75rem;height: 10.9375rem !important;}#image04 img {height: 100% !important;object-fit: cover;object-position: center;width: 100% !important;}}@media (max-width: 480px) {#main > .inner {--spacing: 1.3125rem;}.buttons.style1 {flex-direction: column;flex-wrap: nowrap;}.buttons.style1 li a {max-width: 32rem;width: 100%;}#image01 .frame {height: 8.875rem !important;}#image05 .frame {height: 13.5rem 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c-0.4,0.3-0.7,0.5-1,0.7c-0.3,0.2-0.6,0.4-1,0.6c-0.4,0.2-0.7,0.4-1.1,0.5c-0.4,0.1-0.6,0.2-0.9,0.2l0,0c-0.3,0-0.6-0.1-0.9-0.2 c-0.3-0.1-0.7-0.3-1.1-0.5c-0.4-0.2-0.7-0.4-1-0.6c-0.3-0.2-0.6-0.4-1-0.7c-0.4-0.3-0.7-0.5-0.8-0.6c-1.1-0.8-2.8-2-5.1-3.5 c-2.3-1.6-3.3-2.4-3.7-2.7c-0.8-0.5-1.6-1.2-2.3-2.2s-1-1.9-1-2.6c0-1,0.3-1.9,0.8-2.5c0.5-0.6,1.2-1,2.3-1h28.4 c0.8,0,1.6,0.3,2.2,0.9C37.1,8.1,37.3,8.8,37.3,9.6L37.3,9.6z"/></symbol></svg><div id="wrapper"><div id="main"><div class="inner"><div id="container11" class="style2 container default"><div class="wrapper"><div class="inner" data-onvisible-trigger="1"><h1 id="text19" class="style3">馃憢馃徎Hi, I&#39;m Ansa</h1><p id="text20" class="style4"><em><strong>Welcome to my Analytic鈥檚 Arena! This is my repository of data science projects, showcasing a variety of work in Machine Learning and Data Visualization using PowerBI. Feel free to explore my projects and share your feedback!</strong></em></p><ul id="icons02" class="style1 icons"><li><a class="n01" href="https://medium.com/@ansababy"><svg aria-labelledby="icon-title"><title id="icon-title">Medium</title><use xlink:href="#icon-7ba57a956e94fa64bf7f65dd78b6b627"></use></svg><span class="label">Medium</span></a></li><li><a class="n02" href="https://www.linkedin.com/in/ansababy/"><svg aria-labelledby="icon-title"><title id="icon-title">LinkedIn</title><use xlink:href="#icon-bf393d6ea48a4e69e1ed58a3563b94a5"></use></svg><span class="label">LinkedIn</span></a></li><li><a class="n03" href="https://github.com/AnsaBaby/"><svg aria-labelledby="icon-title"><title id="icon-title">GitHub</title><use xlink:href="#icon-8c4b37645de3c276d895d87df51ba614"></use></svg><span class="label">GitHub</span></a></li><li><a class="n04" href="https://ansababy.carrd.co/"><svg aria-labelledby="icon-title"><title id="icon-title">Globe</title><use xlink:href="#icon-7a66fac84dc5d9fb5fafce395a384d40"></use></svg><span class="label">Globe</span></a></li><li><a class="n05" href="https://www.instagram.com/data.artist.ai/"><svg aria-labelledby="icon-title"><title id="icon-title">Instagram</title><use xlink:href="#icon-85976685de3e4af37529a1ce5d57d2a7"></use></svg><span class="label">Instagram</span></a></li></ul><ul id="buttons11" class="style1 buttons"><li><a href="#start" class="button n01"><svg aria-labelledby="icon-title"><title id="icon-title">Arrow Down (Light)</title><use xlink:href="#icon-8a75e9205b2d7697ad826d592ebf05f0"></use></svg><span class="label">Recent projects</span></a></li><li><a href="/cdn-cgi/l/email-protection#05716d602b616471642b6477716c7671777c456268646c692b666a68" class="button n02"><svg aria-labelledby="icon-title"><title id="icon-title">Email</title><use xlink:href="#icon-c3c8e1063e3b7f84f6b54712741de139"></use></svg><span class="label">Feedback Please !!!</span></a></li></ul></div></div></div><div id="container04" class="style2 container default"><div class="wrapper"><div class="inner" data-onvisible-trigger="1"><div id="image01" class="image" data-position="center"><a href="https://www.credly.com/users/ansa-baby" class="frame"><img src="assets/images/image01.jpg?v=c3a23a2a" alt="" /></a></div><div id="image05" class="image" data-position="center"><a href="https://www.credly.com/users/ansa-baby" class="frame"><img src="assets/images/image05.jpg?v=c3a23a2a" alt="" /></a></div><div id="image04" class="image" data-position="center"><a href="https://www.credly.com/users/ansa-baby" class="frame"><img src="assets/images/image04.jpg?v=c3a23a2a" alt="" /></a></div></div></div></div><div id="container10" data-scroll-id="start" data-scroll-behavior="center" data-scroll-offset="0" data-scroll-speed="3" data-scroll-invisible="1" class="style1 container default"><div class="wrapper"><div class="inner" data-onvisible-trigger="1"><h2 id="text17" class="style1">Brain Tumor Classification with PyTorch</h2><p id="text18" class="style2"><span class="p"><em><strong>In this project, a brain tumor dataset is utilized to develop and compare deep learning algorithms for accurate brain tumor image classification in Google Colab.</span><span class="p">This colab contains the<br /> 1. VGG 11 - with 5 epochs &amp; its evaluation<br /> 2. VGG 11 - with 50 epochs &amp; its evaluation<br /> 3. VGG 16 &amp; its evaluation<br /> 4. VGG 19 &amp; its evaluation<br /> 5. AlexNet &amp; its evaluation<br /> 6. Alexnet with hyper param tuning - weight decay &amp; LR &amp; its evaluation<br /> 7. Alexnet with hyper param tuning - weight decay &amp; its evaluation<br /> 8. Alexnet with hyper param tuning - SGD Optimizer &amp; its evaluation<br /> 9. Alexnet with hyper param tuning - NLL Loss &amp; its evaluation<br /> 10. AlexNet with 100 Epochs- Early Stopping Method &amp; its evaluation<br /> 11. RestNet &amp; its evaluation<br /> 12. RestNet - 5 epoch - less than ideal epoch obtained &amp; its evaluation<br /> 13. RestNet- with hyper param tuning - SGD Optimizer &amp; its evaluation<br /> 14. RestNeXt - Self designed Model &amp; its evaluation<br /> 15. Global &amp; Local Minina</strong></em></span></p><ul id="buttons10" class="style1 buttons"><li><a href="https://github.com/AnsaBaby/Brain-Tumor-Classification-with-PyTorch" class="button n01"><svg aria-labelledby="icon-title"><title id="icon-title">Arrow Right (Light)</title><use xlink:href="#icon-67ad41ecc66a1b1cd00d0d3b20c00017"></use></svg><span class="label">GitHub Link</span></a></li></ul></div></div></div><div id="container09" class="style1 container default"><div class="wrapper"><div class="inner" data-onvisible-trigger="1"><h2 id="text15" class="style1">Fraud Detection Using Neural Networks with TensorFlow</h2><p id="text16" class="style2"><span class="p"><em><strong>Fraud detection in financial transactions is a critical area in the banking and finance sectors. This project demonstrates how to build a deep learning model using TensorFlow to detect fraudulent transactions based on the publicly available &quot;Credit Card Fraud Detection&quot; dataset.</strong></em></span><span class="p"><strong>Skills Used</strong></span><span class="p"><em><strong>1.TensorFlow<br /> 2. Google Colab<br /> 3. Pandas<br /> 4. Matplotlib<br /> 5. Seaborn<br /> 6. Scikit-learn<br /> 7. Keras<br /> 8. NumPy</strong></em></span></p><ul id="buttons09" class="style1 buttons"><li><a href="https://github.com/AnsaBaby/ML-Project---Fraud-Detection-with-TensorFlow" class="button n01"><svg aria-labelledby="icon-title"><title id="icon-title">Arrow Right (Light)</title><use xlink:href="#icon-67ad41ecc66a1b1cd00d0d3b20c00017"></use></svg><span class="label">GitHub Link</span></a></li></ul></div></div></div><div id="container07" class="style1 container default"><div class="wrapper"><div class="inner" data-onvisible-trigger="1"><h2 id="text11" class="style1">PyCaret Iris classification #AutoML</h2><p id="text12" class="style2"><span class="p"><em><strong>Scikit Learn has been the most popular machine-learning library for many years. However, it&#39;s time to start using the new libraries that will make our work easier. In this project, I used one such Auto ML library-&nbsp;Pycaret.</strong></em></span><span class="p"><strong>Skills used:</strong><br /> <em><strong>1. PyCaret<br /> 2. AutoML<br /> 3. Python<br /> 4. Pandas<br /> 5. Scikit-learn<br /> 6. Iris Dataset<br /> 7. Data Preprocessing<br /> 8. Model Training and Tuning</strong></em></span></p><ul id="buttons07" class="style1 buttons"><li><a href="https://github.com/AnsaBaby/Auto-ML-PyCaret--Iris-Multiclass-classification/blob/main/PyCaret_Iris.ipynb" class="button n01"><svg aria-labelledby="icon-title"><title id="icon-title">Arrow Right (Light)</title><use xlink:href="#icon-67ad41ecc66a1b1cd00d0d3b20c00017"></use></svg><span class="label">GitHub Link</span></a></li><li><a href="https://medium.com/tech-tensorflow/multi-class-classification-of-iris-dataset-using-pycaret-auto-ml-9c688017a7f4" class="button n02"><svg aria-labelledby="icon-title"><title id="icon-title">Medium</title><use xlink:href="#icon-7ba57a956e94fa64bf7f65dd78b6b627"></use></svg><span class="label">Read all about this dashboard</span></a></li></ul></div></div></div><div id="container06" class="style1 container default"><div class="wrapper"><div class="inner" data-onvisible-trigger="1"><h2 id="text01" class="style1">IMDB Movie Power BI Dashboard</h2><div id="image02" class="image"><span class="frame deferred"><img src="data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHg9IjAiIHk9IjAiIHZpZXdCb3g9IjAgMCAxNDM5IDkxNCIgd2lkdGg9IjE0MzkiIGhlaWdodD0iOTE0IiBwcmVzZXJ2ZUFzcGVjdFJhdGlvPSJub25lIj48cmVjdCBmaWxsPSIjYmRiOGJmIiB3aWR0aD0iMTAwJSIgaGVpZ2h0PSIxMDAlIi8%2BPC9zdmc%2B" data-src="assets/images/image02.jpg?v=c3a23a2a" alt="" /></span></div><ul id="buttons06" class="style1 buttons"><li><a href="https://github.com/AnsaBaby/Power-BI-Dashboards/tree/main/IMDB%20Dashboard" class="button n01"><svg aria-labelledby="icon-title"><title id="icon-title">Arrow Right (Light)</title><use xlink:href="#icon-67ad41ecc66a1b1cd00d0d3b20c00017"></use></svg><span class="label">GitHub Link</span></a></li></ul></div></div></div><div id="container08" class="style1 container default"><div class="wrapper"><div class="inner" data-onvisible-trigger="1"><h2 id="text13" class="style1">Analysing Netflix Movies &amp; Guest Stars in The Office</h2><p id="text14" class="style2"><em><strong>Investigated Netflix movies and guest stars using Python on DataCamp. Explored relationships and trends within the dataset to derive meaningful insights. Conducted sentiment analysis on user reviews. Applied natural language processing techniques to extract valuable information from textual data.</strong></em></p><ul id="buttons08" class="style1 buttons"><li><a href="https://github.com/AnsaBaby/Analysing-Netflix-Movies-and-Guest-Stars-in-The-Office" class="button n01"><svg aria-labelledby="icon-title"><title id="icon-title">Arrow Right (Light)</title><use xlink:href="#icon-67ad41ecc66a1b1cd00d0d3b20c00017"></use></svg><span class="label">GitHub Link</span></a></li></ul></div></div></div><div id="container02" class="style1 container default"><div class="wrapper"><div class="inner" data-onvisible-trigger="1"><h2 id="text03" class="style1">Global Hunger Index Power BI Dashboard</h2><div id="image03" class="image"><span class="frame deferred"><img src="data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHg9IjAiIHk9IjAiIHZpZXdCb3g9IjAgMCAxNDM5IDgxNiIgd2lkdGg9IjE0MzkiIGhlaWdodD0iODE2IiBwcmVzZXJ2ZUFzcGVjdFJhdGlvPSJub25lIj48cmVjdCBmaWxsPSIjMWMxODFiIiB3aWR0aD0iMTAwJSIgaGVpZ2h0PSIxMDAlIi8%2BPC9zdmc%2B" data-src="assets/images/image03.jpg?v=c3a23a2a" alt="" /></span></div><ul id="buttons02" class="style1 buttons"><li><a href="https://github.com/AnsaBaby/Power-BI-Dashboards/tree/main/Gloabl%20Hunger%20Index%20Dashboard" class="button n01"><svg aria-labelledby="icon-title"><title id="icon-title">Arrow Right (Light)</title><use xlink:href="#icon-67ad41ecc66a1b1cd00d0d3b20c00017"></use></svg><span class="label">GitHub Link</span></a></li><li><a href="https://ansababy.medium.com/creating-interactive-power-bi-dashboards-with-global-hunger-index-data-eaf91fdec99f" class="button n02"><svg aria-labelledby="icon-title"><title id="icon-title">Medium</title><use xlink:href="#icon-7ba57a956e94fa64bf7f65dd78b6b627"></use></svg><span class="label">Read all about this dashboard</span></a></li></ul></div></div></div><div id="container03" class="style1 container default"><div class="wrapper"><div class="inner" data-onvisible-trigger="1"><h2 id="text04" class="style1">Analysing Netflix Movies &amp; Guest Stars in The Office</h2><p id="text05" class="style2"><em><strong>Conducted a machine learning analysis on gym attendance data over several years. Explored trends and patterns to understand factors influencing attendance. Applied time-series analysis to predict future attendance. Provided actionable insights for optimizing gym operations.</strong></em></p><ul id="buttons03" class="style1 buttons"><li><a href="https://github.com/AnsaBaby/Fitness-Dataset-analysis" class="button n01"><svg aria-labelledby="icon-title"><title id="icon-title">Arrow Right (Light)</title><use xlink:href="#icon-67ad41ecc66a1b1cd00d0d3b20c00017"></use></svg><span class="label">GitHub Link</span></a></li></ul></div></div></div><div id="container01" class="style1 container default"><div class="wrapper"><div class="inner" data-onvisible-trigger="1"><h2 id="text02" class="style1">Multi-Class classification with Iris</h2><p id="text06" class="style2"><em><strong>The Iris dataset is one of the most explained and easy-to-use datasets available for beginners to explore machine learning. We know that to draw in recruiters, we must find solutions to new challenges. Then why is it important to solve that again, knowing it鈥檚 a very small dataset with already clean data? It&#39;s because the important aspect is not always how you solve a problem; it&#39;s how you narrate the solution, i.e., the art of storytelling with the data and conclusions obtained.So, in this article, I am going to dive into the Iris dataset again. But this time I鈥檓 going to focus on creating a compelling story with Iris Flowers instead of just predicting the results</strong></em></p><ul id="buttons01" class="style1 buttons"><li><a href="https://github.com/AnsaBaby/Auto-ML-PyCaret--Iris-Multiclass-classification/blob/main/PyCaret_Iris.ipynb" class="button n01"><svg aria-labelledby="icon-title"><title id="icon-title">Arrow Right (Light)</title><use xlink:href="#icon-67ad41ecc66a1b1cd00d0d3b20c00017"></use></svg><span class="label">GitHub Link</span></a></li><li><a href="https://medium.com/tech-tensorflow/multi-class-classification-of-iris-dataset-using-pycaret-auto-ml-9c688017a7f4" class="button n02"><svg aria-labelledby="icon-title"><title id="icon-title">Medium</title><use xlink:href="#icon-7ba57a956e94fa64bf7f65dd78b6b627"></use></svg><span class="label">Read all about this dashboard</span></a></li></ul></div></div></div><div id="container05" class="style2 container default"><div class="wrapper"><div class="inner" data-onvisible-trigger="1"><h2 id="text09" class="style3">Get in Touch!!!</h2><p id="text10" class="style4"><em><strong>My inbox is always open. Whether you have a question or just want to say hi, I鈥檒l try my best to get back to you!</strong></em></p><ul id="buttons05" class="style1 buttons"><li><a href="/cdn-cgi/l/email-protection#e590968097a5818a88848c8bcb809d91" class="button n01"><svg aria-labelledby="icon-title"><title id="icon-title">Email (Alt)</title><use xlink:href="#icon-c0646d28bbeb18e39eb973f96b44bd0f"></use></svg><span class="label">Get in touch</span></a></li></ul></div></div></div><div id="credits" class="icc-credits"><span><a href="https://carrd.co/build?ref=auto">Made with Carrd</a></span></div></div></div></div><script data-cfasync="false" src="/cdn-cgi/scripts/5c5dd728/cloudflare-static/email-decode.min.js"></script><script>(function() {var on = addEventListener,off = removeEventListener,$ = function(q) { return document.querySelector(q) },$$ = function(q) { return document.querySelectorAll(q) },$body = document.body,$inner = $('.inner'),client = (function() {var o = {browser: 'other',browserVersion: 0,os: 'other',osVersion: 0,mobile: false,canUse: null,flags: {lsdUnits: false,},},ua = navigator.userAgent,a, i;a = [['firefox',/Firefox\/([0-9\.]+)/],['edge',/Edge\/([0-9\.]+)/],['safari',/Version\/([0-9\.]+).+Safari/],['chrome',/Chrome\/([0-9\.]+)/],['chrome',/CriOS\/([0-9\.]+)/],['ie',/Trident\/.+rv:([0-9]+)/]];for (i=0; i < a.length; i++) {if (ua.match(a[i][1])) {o.browser = a[i][0];o.browserVersion = parseFloat(RegExp.$1);break;}}a = [['ios',/([0-9_]+) like Mac OS X/,function(v) { return v.replace('_', '.').replace('_', ''); }],['ios',/CPU like Mac OS X/,function(v) { return 0 }],['ios',/iPad; CPU/,function(v) { return 0 }],['android',/Android ([0-9\.]+)/,null],['mac',/Macintosh.+Mac OS X ([0-9_]+)/,function(v) { return v.replace('_', '.').replace('_', ''); }],['windows',/Windows NT ([0-9\.]+)/,null],['undefined',/Undefined/,null]];for (i=0; i < a.length; i++) {if (ua.match(a[i][1])) {o.os = a[i][0];o.osVersion = parseFloat( a[i][2] ? 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(children ? function() {children.forEach(function(e) {leave.apply(e, [children]);});} : leave) : null),});});},expandTextNodes: function(e) {var s, i, w, x;for (i = 0; i < e.childNodes.length; i++) {x = e.childNodes[i];if (x.nodeType != Node.TEXT_NODE)continue;s = x.nodeValue;s = s.replace(this.regex,function(x, a) {return '<text-node>' + escapeHtml(a) + '</text-node>';});w = document.createElement('text-node');w.innerHTML = s;x.replaceWith(w);while (w.childNodes.length > 0) {w.parentNode.insertBefore(w.childNodes[0],w);}w.parentNode.removeChild(w);}},};onvisible.add('h1.style1, h2.style1, h3.style1, p.style1', { style: 'fade-up', speed: 750, intensity: 2, threshold: 3, delay: 0, replay: false });onvisible.add('h1.style2, h2.style2, h3.style2, p.style2', { style: 'fade-up', speed: 750, intensity: 4, threshold: 3, delay: 0, replay: false });onvisible.add('.buttons.style1', { style: 'fade-up', speed: 750, intensity: 6, threshold: 3, delay: 0, replay: false });onvisible.add('h1.style3, h2.style3, h3.style3, p.style3', { style: 'fade-up', speed: 750, intensity: 2, threshold: 3, delay: 0, replay: false });onvisible.add('h1.style4, h2.style4, h3.style4, p.style4', { style: 'fade-up', speed: 750, intensity: 4, threshold: 3, delay: 0, replay: false });onvisible.add('.icons.style1', { style: 'fade-up', speed: 1000, intensity: 3, threshold: 3, delay: 0, stagger: 250, staggerSelector: ':scope > li', replay: false });onvisible.add('.container.style1', { style: 'fade-in-background', speed: 1000, intensity: 1, threshold: 3, delay: 0, replay: false });ready.run();})();</script></body></html>

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