💫 Machine Learning for Data Science - 4: Framing ML Problem | Fetching Data from API by @theiScale

🚀 Welcome to Day 4 of our Machine Learning series with @theiScale ! GitHub Link for Day 4 Notes: https://github.com/TheiScale/30_Days_Machine_Learning/tree/main/Day%201%20ML ✨ Kickstart your career as a Data Analyst. Apply today! - https://www.theiscale.com/DataAnalytic?analytics=13 ❇️ Explore our Job Oriented Courses: https://www.theiscale.com/explore-course ➖➖➖➖➖➖ 📱 For Any Further Queries or Doubts? Contact- 7880-113-112 (Student Helpline Number) For any query connect in WhatsApp with us: https://wa.me/917880113112 ➖➖➖➖➖➖ ✳️ Join Telegram Channel- https://t.me/TheiScale ✳️ Join WhatsApp Channel- https://whatsapp.com/channel/0029VaB5ekEKQuJQV572vi2c ➖➖➖➖➖➖➖ 🔗 Download App Google Play : https://play.google.com/store/apps/details?id=com.logixhunt.ihhpet&pli=1 In today's session, we delve into the intricacies of Machine Learning for Data Science, focusing on the Machine Learning Development Life Cycle (MLDLC/MLDC) and the Data Science Life Cycle (DSLC). Here's a glimpse of what we cover: 🔍 Understanding the Machine Learning Development Life Cycle (MLDLC) and the Data Science Life Cycle (DSLC). 🛠 Exploring essential tools for Machine Learning, including Anaconda and Jupyter Notebook, and optional tools such as Spyder, PyCharm, Noteable, Google Colab, Kaggle Notebooks, Microsoft Azure Notebooks, Apache Zeplin, Count.co, and many more. 💻 Installing and configuring tools like Anaconda and Jupyter Notebook to kickstart your Machine Learning journey. 📊 Importing datasets and downloading data files effortlessly. 🔧 Creating and managing virtual environments for streamlined development. 📂 Mastering the art of Data Gathering and working with CSV, JSON, and SQL files seamlessly. Join us as we unravel the complexities of Machine Learning for Data Science and equip ourselves with the skills needed to navigate through diverse datasets and extract meaningful insights. Stay tuned for an insightful and engaging session! Don't forget to like, share, and subscribe for more updates. Let's embark on this exciting journey together! #MachineLearning #DataScience #MLDLC #DSLC #theiScale Don't miss out on unraveling the mysteries behind the algorithms that shape our digital age! 🤖🔍 #machinelearning #datascience #deeplearning #ai #MLvsDLvsAI