Designed Analytics LLC’s Post

In Episode 2 of AI@Work, we share the framework we will use to cover our video series journey. Then we jump into the first topic: Using AI and ML for customer segmentation. You can watch the episode here: https://lnkd.in/gaYZ8KQQ Previous episode can be watched here: https://lnkd.in/ghyRWf6i #data #analytics #ai #ml #datascience #designedanalytics #deeplearning

In the 4th Episode of "AI@Work", we discuss Churn Analysis. You can watch the episode here: https://lnkd.in/gifQe_Ty Previous episodes can be watched here: https://lnkd.in/ghyRWf6i #data #analytics #ai #ml #datascience #designedanalytics

In the 4th Episode of "AI@Work", we discuss Churn Analysis. You can watch the episode here: https://lnkd.in/g_y6Ui2j Previous episodes can be watched here: https://lnkd.in/gN8S792v #data #analytics #ai #ml #datascience #designedanalytics

Midjourney Commands List: Everything to Know (+ Parameters) @your_dream_ai

🚀 Excited to share our team's recent project: Diamond Price Prediction 2024! 🚀   Our latest project, developed with my talented team at SHAI For AI | شاي للذكاء الاصطناعي was part of a Kaggle competition hosted by the company. We utilized advanced machine learning techniques to predict diamond prices. By analyzing a rich dataset with attributes like carat weight, cut quality, color, and clarity, we embarked on a comprehensive journey through data preprocessing, exploratory data analysis (EDA), model building, and more.   🔗 For detailed project insights and code, visit my GitHub repository: [ https://lnkd.in/eaE-cQK4 ] - Contains project code, dataset, and documentation.   Special thanks to my incredible teammates: Sarah Hasan Hesham Alsaadi Fahed Shadid for their hard work and dedication.   #DataScience #MachineLearning #PredictiveAnalytics #TeamWork #DiamondPricePrediction

Become an expert on aiXplain’s no-code AI platform and SDK with our #aiXpertTrainingCourse 🤓 In this tutorial, learn to transform your linguistic corpora into structured datasets with aiXplain, enhancing your AI's understanding and performance. Don't forget to subscribe to our YouTube channel for more. 👉 https://lnkd.in/gHCmvZwn #aiXplain #DataScience #Corpus #AI #MachineLearning #LearnAI #AIplatform #AItools

Day 41: Solving Probability Puzzles 🎯 Today in our tutorial session with Indu Joshi mam, we solved some interesting probability problems. Each one felt like a new puzzle 🧩, pushing my understanding further. These exercises really helped me grasp how to work with uncertainty 📊 and apply it to real-world scenarios 🌍. Excited to keep diving deeper into the world of data and statistics! 🌟 Masai #Masai #IITMandi #LearningJourney🐧 #DailyLearning #Probability #DataScience #MathStuff 🎓

Want to know how Grab's drivers always seem to be in the right place at the right time? 🚖 Serene Ow shares how heat map navigation helps drivers find their next job, cut down idle time, and save fuel. 📊🚦 Catch the full episode of 'Grab a Seat' to explore more insights from Serene Ow and Jia Chen, our Heads of Data Science, Fulfilment and Integrity! Let's explore with the Youtube link in the comment section, including a job opportunity in Data science field, focus on NLP Enjoy! #GrabASeat #DataScience #MachineLearning

🤯 𝗧𝗵𝗮𝘁'𝘀 𝗿𝗲𝗮𝗹 𝗠𝗮𝗱𝗻𝗲𝘀𝘀 - 𝗮 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝗔𝗜 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗳𝗮𝗰𝗲 𝗼𝗳 𝗘𝗺𝗺𝗮 𝗪𝗮𝘁𝘀𝗼𝗻. 🤖 One of the most impressive aspects of this AI assistant is its lightning-fast response time. It delivers answers in just one and a half seconds, thanks to a complex network of neurons, including wav2lip, Mistral, and Whisper, working tirelessly under the hood. 👉  The code is on GitHub (https://lnkd.in/ePqi9HPR). I love that it's open-source and accessible to everyone. Great move! 🙌 𝗦𝘁𝗮𝗿𝘁 𝗬𝗼𝘂𝗿 𝗣𝗿𝗼𝗷𝗲𝗰𝘁: 👉 𝗕𝗼𝗼𝗸 𝗮 𝗱𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 𝗰𝗮𝗹𝗹 𝗮𝘁 𝗵𝘁𝘁𝗽𝘀://𝗹𝗻𝗸𝗱.𝗶𝗻/𝗲𝗡𝟵𝗱𝟱𝗸𝘂𝗷

🌱🍎 Celebrating Success: CNN Model Achieves 98% Test Accuracy! 🍅🥦 We're thrilled to announce a major milestone in our Fruits & Vegetables Recognition System journey: our CNN Model with Augmentation has achieved a staggering 98% test accuracy! 🎨 Augmentation Techniques: - Rotation Range - Zoom Range - Width Shift Range - Height Shift Range - Horizontal Flip - Validation Split 🔄 Algorithms Utilized: - CNN Baseline Model - VGG Model With Augmentation - EfficientNet B0 Model Without Augmentation - ResNet Model With Augmentation 🚀 Using Streamlit: Our interface is powered by Streamlit, making it user-friendly and efficient. 🔗 Explore on GitHub: Dive deeper into our project on GitHub: https://lnkd.in/dAMKzCzC 🙌 Team Shoutout: Eman Ramzy, Amina Mohamed, Shorouq Hossam, your unwavering commitment and expertise have propelled us to this incredible feat. Together, we've pushed boundaries and achieved excellence. 🎓 Instructor Appreciation: Eng Abdelrahman Eid, your guidance has been invaluable throughout this journey. Your expertise and encouragement empowered us to reach new heights. 🎥 Coming Soon: Stay tuned for a video showcasing our system in action! #iti #TeamWork #AI #SuccessStory #ArtificialIntelligence #DeepLearning #CNN