Manish Kumar mahto’s Post

🚀 The Reality of #Data in Data Science! and AI🧹 Contrary to popular belief, the journey to building cutting-edge machine learning models isn't just about algorithms; it's primarily about grappling with "Dirty Data". Remember, the quality of input data determines the quality of the output (Garbage in -> Garbage Out). In fact, a staggering 75% of our efforts in data science are devoted to the crucial tasks of cleaning, structuring, and transforming data, as well as handling missing values. This painstaking process ensures that the data is primed for effective use in #MachineLearning algorithms. Additionally, crafting the right response variable is essential for addressing the underlying #Business Problem effectively. 📘 Excited to share insights from my latest book which dives deep into the art and science of Data Cleaning. This book is a treasure trove of best practices and strategies to navigate the often overlooked yet critical aspect of data science. Download link at comment below. 💬 Do you agree with this perspective on Data Cleaning? What are your experiences? Let's exchange thoughts in the comments below! 👇 Don't miss out on more insights like this - Follow Mohammad Arshad for the latest in AI #ai #data #datacleaning #python

💻 thisnotthat: 122⭐ Ever get lost in data labels? 🧭✨ Check out TutteInstitute/thisnotthat on GitHub for a game-changing way to navigate through them. This visual labeling system, crafted with Jupyter widgets, simplifies data annotation, making it more intuitive and efficient. Perfect for those diving deep into data science projects! The links are as always a side-quest. Check it out here: https://lnkd.in/eD25chZr My newsletter subscribers learned about this 14 months ago! https://late.email ┈┈┈┈┈┈┈┈✁┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈ 👋 Moin, I'm Jesper! I share non-hype AI like this every day to help you build better real-world ML applications! 𝗙𝗼𝗹𝗹𝗼𝘄 Jesper Dramsch to stay in the loop! Join 3,000 others here: https://lnkd.in/gW_-ym7A #DataScience #MachineLearning #Ai #Software #Ml #LateToTheParty

🚀 Excited to continue our project journey! 💡 📚 Check out my recent Medium article, "Inside an End-to-End Machine Learning Pipeline: Part 1 — Introduction to the Project," where we dive into understanding the purpose of different tools in our project for predicting stock prices. [https://lnkd.in/grHupHmy] In this installment, we cover: 🎯 Understanding Project Goals: Discover the core mission behind our project. 🛠️ Overview of the importance of different tools that we will use in our project: ⏰ Apache Airflow 📊 Streamlit 🐳 Docker 🔄 CI/CD and more! Stay tuned for future articles where we'll delve deeper into specific aspects of our project and continue our journey into predictive analytics and automation. Let's empower ourselves with knowledge and expertise! 💻✨ #MachineLearning #DataScience #MLOps #PredictiveAnalytics #StockPrediction #MediumArticle #DataAnalytics #AI

How I Built a Book Recommender System Using #MLflow and #PySpark! 🚀 A few months back, I began working with MLflow and PySpark, which led me to develop a project focused on book classification and recommendation using collaborative filtering. The highlight? Serving the model in MLflow and directly utilizing the endpoint to obtain real-time classifications. Seeing ALS in action to recommend relevant books was a game-changer! Want to see it in action? Check out the video below. 📹 Curious to learn more or dive into a discussion? Leave your thoughts in the comments. #AI #DataScience #ML #RecommendationSystem #ResumeProject

Level up your data game! Dive into the world of advanced data manipulation and unlock the power of complex datasets! Join CodeCamp: https://lnkd.in/gHebCam2 #CodeCamp #AsthaIT #DataScience #Data #AI #Coding

Simplicity on Top! ... ... When it comes to AI in industry, the simple and core solution always prevails. See, GenAI is raw , its cools , its magical , it has endless possibilities, but when it comes to using to improve business or to make profits, stakeholder prefers simple and traditional AI solution. and that has Machine Learning at its core! Let's chat about why keeping it real with data science is still the gold standard, even as everyone's buzzing about AI's new kid on the block, generative AI. "Even the fanciest AI today is just data science in a shiny new wrapper." And guess what? Many businesses are sticking to their guns with predictive data science because, honestly, gen AI still has some growing up to do. While we’re all for embracing the new and nifty, we can’t forget the roots. 🌱 Understanding the nuts and bolts of data science isn’t just smart—it’s essential. 👩💻 Here’s Why You Shouldn’t Sleep on Data Science Skills: Getting deep into data science is like building your muscle to flex in the tech world. It’s not just about getting ready for the next big thing; it’s about getting a grip on the tech that powers every AI out there. "Master your data science, master your tech future." So, let’s keep leveling up those data science skills. It’s not just about riding the wave; it’s about making the waves. 🌊 Join in our Data Science Bootcamp Grow Data Skills ! Checkout the course syllabus- https://lnkd.in/gsBG5hu2 Register now, to get early advantages! Shashank Mishra 🇮🇳 Rahul Shukla SHAILJA MISHRA🟢 #datascience #ai #openai #python #machinelearning #annoucement

🚀 “𝐁𝐚𝐬𝐢𝐜 3-𝐒𝐭𝐚𝐠𝐞 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐟𝐨𝐫 𝐌𝐋𝐎𝐩𝐬 - 𝐓𝐡𝐞𝐨𝐫𝐲”🚀 𝑨𝒓𝒆 𝒚𝒐𝒖 𝒂n 𝑴𝑳 𝑫𝒆𝒗𝒆𝒍𝒐𝒑𝒆𝒓 𝒘𝒉𝒐𝒔𝒆 𝒎𝒐𝒅𝒆𝒍𝒔 𝒂𝒓𝒆 𝒔𝒊𝒕𝒕𝒊𝒏𝒈 𝒊𝒅𝒍𝒆 𝒐𝒏 𝒋𝒖𝒑𝒚𝒕𝒆𝒓 𝒏𝒐𝒕𝒆𝒃𝒐𝒐𝒌𝒔? 𝑫𝒐 𝒚𝒐𝒖 𝒘𝒂𝒏𝒕 𝒕𝒐 𝒃𝒓𝒊𝒏𝒈 𝒚𝒐𝒖𝒓 𝒎𝒐𝒅𝒆𝒍𝒔 𝒕𝒐 𝒈𝒓𝒆𝒂𝒕 𝒖𝒔𝒆? 𝐘𝐨𝐮 𝐬𝐡𝐨𝐮𝐥𝐝 𝐮𝐬𝐞 𝐌𝐋𝐎𝐩𝐬 𝐚𝐬 𝐲𝐨𝐮𝐫 𝐟𝐫𝐢𝐞𝐧𝐝. In this Article, I dive into the fundamentals of 𝐌𝐋𝐎𝐩𝐬, breaking down the 𝐞𝐬𝐬𝐞𝐧𝐭𝐢𝐚𝐥 3-𝐬𝐭𝐚𝐠𝐞 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞 that every machine learning engineer and data scientist should know. Whether you’re a seasoned data scientist or just starting out, this article offers valuable insights to streamline your machine learning operations. 🔗 Check it out here: https://lnkd.in/gBx-K6d8 #MLOps #MachineLearning #DataScience #AI #TechInnovation #MediumArticle #DeepLearning

🎓 Day 2: I dove into the heart of ML with a powerful framework guiding me through every step of the process: 1️⃣ Problem Definition: Identifying the challenge we aim to tackle. 2️⃣ Data: Understanding the data at hand - the lifeblood of any ML project. 3️⃣ Evaluation: Defining success metrics - because knowing when we've succeeded is crucial! 4️⃣ Features: Selecting the right features to build our model upon. 5️⃣ Modelling: Choosing the perfect model to bring our data to life. 6️⃣ Experimentation: Always keeping the door open to new ideas and approaches. 🔍 Day 3: Equipped myself with the tools of the trade! 🛠️ Set up my data science environment with Miniconda and a suite of essential packages: NumPy, Pandas, Matplotlib, and Scikit-learn - ready to dive into projects head-on! 🌟 Excited to continue this journey of discovery and innovation in the realm of Machine Learning! Let's push the boundaries together! 💪 #MachineLearning #DataScience #AI #LearningJourney #ExcitedForTheFuture #ZTM

🚀 Embarking on a 25-Day Machine Learning Algorithm Journey! 🤖 Excited to kick off a special challenge today! Over the next 25 days, I'll be sharing insights into various machine learning algorithms right here on LinkedIn. 📆 Each day, I'll delve into a different algorithm, breaking down its concepts, showcasing practical examples, and discussing its applications. From regression and classification to clustering and deep learning, we'll cover it all! 💡 Join me on this journey as we explore the fascinating world of machine learning together. Whether you're a seasoned data scientist or just starting your ML journey, there's something for everyone! Let's learn, grow, and inspire each other! 🌟 #MachineLearning #DataScience #25DaysMLChallenge #ArtificialIntelligence #DataAnalytics #StayTuned

 Excited to share that I’ve just completed my Machine Learning course! It's been an incredible journey filled with learning, challenges, and growth. A big thank you to everyone who supported me along the way. Looking forward to applying these new skills to real-world problems and continuing my journey in the field of data science and AI. #MachineLearning #DataScience