Data Analyst Course | Beginner's to Advance (हिंदी में) | Full Playlist | Python | Power BI | SQL | Excel | Free - Machine Learning Full Course in Hindi - Part 1 | Basics of Machine Learning in 9 Hours | iScale

Github Link for Notes: https://github.com/TheiScale/30_Days_Machine_Learning/tree/main Connect in WhatsApp with us: https://wa.me/917880113112 Download Our Android App 📲- https://play.google.com/store/apps/details?id=com.logixhunt.ihhpet&pli=1 Python Lecture | How to Install Jupyter Notebook- https://www.youtube.com/watch?v=AS1a5K8zejk&list=PLxzTa0VPR9ryvGSuCm4RS8aeAvOLXz9XM&index=2 ➖➖➖➖➖➖ ✨ Kickstart your career in a Data Analyst. Apply today! - https://www.theiscale.com/DataAnalytic/data-analyst-course-form Timestamps: 00:00 - Introduction of Machine Learning Full Course - Part 1 08:30 - Introduction & Type of ML 01:48:26 - Batch | Model | Instance-Based ML 03:47:51 - MLDLC | CSV / JSON / SQL Data Gathering 06:23:55 - Framing ML Problem | Fetching Data from an API 07:53:58 - Web Scraping for Data Gathering Topic Content: Day: 1 Introduction & Type of ML  What is Machine Learning  How has Machine Learning evolved? The History of ML  ML vs DL vs AI  Data Science Vs Data Analytics Vs ML/AI/DL  Types of machine learning Day:2 Batch | Model | Instance Based ML  What is Batch / Offline Machine Learning?  What is Online Machine Learning?  Difference Between Online Vs Offline Machine Learning?  Instance Based Machine Learning.  Model Based Machine Learning.  Instance Based Vs Model Based Machine Learning.  Challenges in Machine Learning.  Application of Machine Learning.  Machine Learning Development Life Cycle. Day:3 MLDLC | CSV / JSON / SQL Data Gathering  Machine Learning Development Life Cycle (MLDLC/MLDC):  Data science life cycle (DSLC):  Tools used in Machine Learning? Installing: Anaconda | Jupiter Notebook (IDEs)  Optional Tools: Spyder | PyCharm | Noteable | Google Colab | Kaggle Notebooks | Microsoft Azure Notebooks | Apache Zeplin | Count.co and Many More  How to import dataset and download data files?  How we create virtual environment  Data Gathering  Working with CSV Files  Working with JSON/SQL Day:4 Framing ML Problem | Fetching Data from an API  Framing a Machine Learning Problem  Data Gathering - Fetching data from an API - Fetching data using web scraping Day: 5 Web Scraping for Data Gathering  Fetching data using web scraping ➖➖➖➖➖➖ ❇️ For Jobs Updates on Data Analyst Profile, Join our WhatsApp Group- https://whatsapp.com/channel/0029VaB5ekEKQuJQV572vi2c ➖➖➖➖➖➖ 💢 For Any Further Queries or Doubts? Contact- 7880-113-112 (Student Helpline Number) ➖➖➖➖➖➖ ✳️ Join Telegram Channel- https://t.me/IHHPET_Alert #dataanalytics #datascience #machinelearning #freecourse #python #pythonprogramming #freeclasses #artificialintelligence #hindi #courseinhindi #job #part1 #9hours #iscale #industrieshelpinghands #MachineLearning #ArtificialIntelligence #GenerativeAI #GenerativeAIAWS #AWS #Amazon #amazonwebservices #TechTrends2024 #Innovation #AIInnovations #FutureTech #ai #machinelearning