In the realm of artificial intelligence and neural networks, backpropagation stands as the powerhouse behind learning. This algorithm enables neural networks to adjust and refine their weights, progressively minimizing errors. In a nutshell, backpropagation is the key to unlocking the potential of intelligent systems.
"}},{"node":{"frontmatter":{"title":"Large Language Model (LLM)","cover":{"childImageSharp":{"gatsbyImageData":{"layout":"constrained","placeholder":{"fallback":"data:image/png;base64,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"},"images":{"fallback":{"src":"/static/c1d49bb34df5a7cb53a0ca95146ecbfa/c2856/transformer.png","srcSet":"/static/c1d49bb34df5a7cb53a0ca95146ecbfa/68202/transformer.png 175w,\n/static/c1d49bb34df5a7cb53a0ca95146ecbfa/fe25d/transformer.png 350w,\n/static/c1d49bb34df5a7cb53a0ca95146ecbfa/c2856/transformer.png 700w","sizes":"(min-width: 700px) 700px, 100vw"},"sources":[{"srcSet":"/static/c1d49bb34df5a7cb53a0ca95146ecbfa/1934d/transformer.avif 175w,\n/static/c1d49bb34df5a7cb53a0ca95146ecbfa/8f8aa/transformer.avif 350w,\n/static/c1d49bb34df5a7cb53a0ca95146ecbfa/e9420/transformer.avif 700w","type":"image/avif","sizes":"(min-width: 700px) 700px, 100vw"},{"srcSet":"/static/c1d49bb34df5a7cb53a0ca95146ecbfa/745fa/transformer.webp 175w,\n/static/c1d49bb34df5a7cb53a0ca95146ecbfa/b0f73/transformer.webp 350w,\n/static/c1d49bb34df5a7cb53a0ca95146ecbfa/9c274/transformer.webp 700w","type":"image/webp","sizes":"(min-width: 700px) 700px, 100vw"}]},"width":700,"height":401}}},"tech":["Attention Is All You Need","Python","Pytorch"],"github":"https://github.com/mushahidmehdi/Machine-Learning","external":null,"type":"Research"},"html":"The Legal Document Analysis project aims to utilize the powerful Transformer architecture for processing and extracting relevant information from legal texts. Specifically, this project focuses on implementing a Legal Language Model (LLM) using the Python programming language and the PyTorch deep learning framework. The Transformer architecture, initially introduced in the \"Attention is All You Need\" paper, forms the backbone of the model.
"}},{"node":{"frontmatter":{"title":"Search Engine","cover":{"childImageSharp":{"gatsbyImageData":{"layout":"constrained","placeholder":{"fallback":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAALCAIAAADwazoUAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAsElEQVQoz7WOsQ7CMAxE8z1gp1GEaKt+eWMn/AEbAxNTF0BiJ3WKwoZIxID6JNsnWac7NfS2bVtrrTFGA+B20zQGAAE1IGqN+j2odQOQBaIxZrfvh65T4zgS0SEEIvJEgYmZnSP2GebgvSdmIvbOcYZCCPlNrJYa6eMUUfMXMca0yHV6HM+X2+Mk9ynGuUg5WUQk5TVHkZRVSoUK1doiEjNPEanWXv7gt7nWef3ktcwvC3lPKVlJEbUAAAAASUVORK5CYII="},"images":{"fallback":{"src":"/static/8dc06c0d89693636ca839ba52787750a/bc3b9/Search.png","srcSet":"/static/8dc06c0d89693636ca839ba52787750a/9a130/Search.png 175w,\n/static/8dc06c0d89693636ca839ba52787750a/a3fa1/Search.png 350w,\n/static/8dc06c0d89693636ca839ba52787750a/bc3b9/Search.png 700w,\n/static/8dc06c0d89693636ca839ba52787750a/87926/Search.png 1400w","sizes":"(min-width: 700px) 700px, 100vw"},"sources":[{"srcSet":"/static/8dc06c0d89693636ca839ba52787750a/dae43/Search.avif 175w,\n/static/8dc06c0d89693636ca839ba52787750a/d7667/Search.avif 350w,\n/static/8dc06c0d89693636ca839ba52787750a/7ec1a/Search.avif 700w,\n/static/8dc06c0d89693636ca839ba52787750a/71a30/Search.avif 1400w","type":"image/avif","sizes":"(min-width: 700px) 700px, 100vw"},{"srcSet":"/static/8dc06c0d89693636ca839ba52787750a/5d873/Search.webp 175w,\n/static/8dc06c0d89693636ca839ba52787750a/26a00/Search.webp 350w,\n/static/8dc06c0d89693636ca839ba52787750a/f23f0/Search.webp 700w,\n/static/8dc06c0d89693636ca839ba52787750a/2c2d0/Search.webp 1400w","type":"image/webp","sizes":"(min-width: 700px) 700px, 100vw"}]},"width":700,"height":394}}},"tech":["React/Redux(JavaScript)","Firebase(Google Cloud)"],"github":"https://github.com/mushahidmehdi/HagiaSearchEngine","external":"https://search-musho.web.app/","type":"Project"},"html":"Search Engine Search Information over the Internet, just like Google. You can Search anything, anywhere as far as data is available somewhere on server, you will find it.\nThe component are built in ReactJS and the App has been deployed on firebase in Google clouds.
"}},{"node":{"frontmatter":{"title":"Loading unstructured JSON into RDBMS using PostgreSQL native SQL dialect.","cover":{"childImageSharp":{"gatsbyImageData":{"layout":"constrained","placeholder":{"fallback":"data:image/png;base64,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"},"images":{"fallback":{"src":"/static/06d3a49dec67a801513a1eb0aa6212c9/bc3b9/Postgres.png","srcSet":"/static/06d3a49dec67a801513a1eb0aa6212c9/9a130/Postgres.png 175w,\n/static/06d3a49dec67a801513a1eb0aa6212c9/a3fa1/Postgres.png 350w,\n/static/06d3a49dec67a801513a1eb0aa6212c9/bc3b9/Postgres.png 700w,\n/static/06d3a49dec67a801513a1eb0aa6212c9/87926/Postgres.png 1400w","sizes":"(min-width: 700px) 700px, 100vw"},"sources":[{"srcSet":"/static/06d3a49dec67a801513a1eb0aa6212c9/dae43/Postgres.avif 175w,\n/static/06d3a49dec67a801513a1eb0aa6212c9/d7667/Postgres.avif 350w,\n/static/06d3a49dec67a801513a1eb0aa6212c9/7ec1a/Postgres.avif 700w,\n/static/06d3a49dec67a801513a1eb0aa6212c9/71a30/Postgres.avif 1400w","type":"image/avif","sizes":"(min-width: 700px) 700px, 100vw"},{"srcSet":"/static/06d3a49dec67a801513a1eb0aa6212c9/5d873/Postgres.webp 175w,\n/static/06d3a49dec67a801513a1eb0aa6212c9/26a00/Postgres.webp 350w,\n/static/06d3a49dec67a801513a1eb0aa6212c9/f23f0/Postgres.webp 700w,\n/static/06d3a49dec67a801513a1eb0aa6212c9/2c2d0/Postgres.webp 1400w","type":"image/webp","sizes":"(min-width: 700px) 700px, 100vw"}]},"width":700,"height":394}}},"tech":["PostgreSQL","SQL","Python","PyCharm"],"github":"https://github.com/mushahidmehdi/Data-Analysis-Using-PostgreSQL-dialects","external":null,"type":"Project"},"html":"We will write native SQL dialect in PostgresSQL to load unstructured JSON Data into RDBMS. Python will be used to load into Postgres Databases and PostgrsSQL SQL compliance will create a tables views.
"}},{"node":{"frontmatter":{"title":"Star Type Prediction AI model.","cover":{"childImageSharp":{"gatsbyImageData":{"layout":"constrained","placeholder":{"fallback":"data:image/png;base64,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"},"images":{"fallback":{"src":"/static/2ca88c9805dc50a395da7ce2625b27af/8a532/NASA.png","srcSet":"/static/2ca88c9805dc50a395da7ce2625b27af/df6f6/NASA.png 175w,\n/static/2ca88c9805dc50a395da7ce2625b27af/05035/NASA.png 350w,\n/static/2ca88c9805dc50a395da7ce2625b27af/8a532/NASA.png 700w","sizes":"(min-width: 700px) 700px, 100vw"},"sources":[{"srcSet":"/static/2ca88c9805dc50a395da7ce2625b27af/7624c/NASA.avif 175w,\n/static/2ca88c9805dc50a395da7ce2625b27af/1f9cf/NASA.avif 350w,\n/static/2ca88c9805dc50a395da7ce2625b27af/f81b8/NASA.avif 700w","type":"image/avif","sizes":"(min-width: 700px) 700px, 100vw"},{"srcSet":"/static/2ca88c9805dc50a395da7ce2625b27af/9e66f/NASA.webp 175w,\n/static/2ca88c9805dc50a395da7ce2625b27af/c2d19/NASA.webp 350w,\n/static/2ca88c9805dc50a395da7ce2625b27af/09e93/NASA.webp 700w","type":"image/webp","sizes":"(min-width: 700px) 700px, 100vw"}]},"width":700,"height":452}}},"tech":["Tensorflow","Sklearn","Python"],"github":"https://github.com/mushahidmehdi/NASA-Star-Classification-AI-Model","external":null,"type":"Project"},"html":"Given the interstellar data of different stars, build a AI model which accurately predict out of sample data.\nThe Data is available on kaggle Nasa account.\nIn this project we will build different AI models using sklearn library.
"}},{"node":{"frontmatter":{"title":"Walmart Sales Prediction AI model.","cover":{"childImageSharp":{"gatsbyImageData":{"layout":"constrained","placeholder":{"fallback":"data:image/png;base64,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"},"images":{"fallback":{"src":"/static/c1fba3b2a0d25a29773e3b3dd7bae5b0/bc3b9/walmart.png","srcSet":"/static/c1fba3b2a0d25a29773e3b3dd7bae5b0/9a130/walmart.png 175w,\n/static/c1fba3b2a0d25a29773e3b3dd7bae5b0/a3fa1/walmart.png 350w,\n/static/c1fba3b2a0d25a29773e3b3dd7bae5b0/bc3b9/walmart.png 700w,\n/static/c1fba3b2a0d25a29773e3b3dd7bae5b0/87926/walmart.png 1400w","sizes":"(min-width: 700px) 700px, 100vw"},"sources":[{"srcSet":"/static/c1fba3b2a0d25a29773e3b3dd7bae5b0/dae43/walmart.avif 175w,\n/static/c1fba3b2a0d25a29773e3b3dd7bae5b0/d7667/walmart.avif 350w,\n/static/c1fba3b2a0d25a29773e3b3dd7bae5b0/7ec1a/walmart.avif 700w,\n/static/c1fba3b2a0d25a29773e3b3dd7bae5b0/71a30/walmart.avif 1400w","type":"image/avif","sizes":"(min-width: 700px) 700px, 100vw"},{"srcSet":"/static/c1fba3b2a0d25a29773e3b3dd7bae5b0/5d873/walmart.webp 175w,\n/static/c1fba3b2a0d25a29773e3b3dd7bae5b0/26a00/walmart.webp 350w,\n/static/c1fba3b2a0d25a29773e3b3dd7bae5b0/f23f0/walmart.webp 700w,\n/static/c1fba3b2a0d25a29773e3b3dd7bae5b0/2c2d0/walmart.webp 1400w","type":"image/webp","sizes":"(min-width: 700px) 700px, 100vw"}]},"width":700,"height":394}}},"tech":["Pandas","Sklearn","Python","Jypter","TensorFlow"],"github":"https://github.com/mushahidmehdi/Walmart-Sale-Forcast-Tutorial","external":null,"type":"Research"},"html":"Walmart Sales fluctuates through out the year, given the past year data predict what will be per week sale in each department in the each store across US.\nThis is one of my favorite projects on data science because it covers the best of data twisting & manipulation using pandas lib in Python, meanwhile, we will be exploring the data from different perspectives to build the best and highest accurate model.
"}}]}}}