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Machine Learning Part 2 - Full Course in Hindi | Basics of Machine Learning in 8 Hours | iScale
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300+ Hours of Data Science Free Lectures - Machine Learning Part 2 - Full Course in Hindi | Basics of Machine Learning in 8 Hours | iScale

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This course includes

  • 176.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

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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?analytics=13 Timestamps: 00:00 - Introduction of Machine Learning Full Course - Part 2 05:35 - EDA: Type of EDA | Univariate EDA 01:46:06 - EDA: Bivariate | Multivariate 03:28:38 - Panda Profiling | Type of Feature Engineering 04:55:49 - Categorical Variables | One Hot Encoding | Ordinal & Label Encoding 06:24:44 - Handling Missing Data | MCAR | CCS Topic Content: Day: 6 EDA: Type of EDA | Univariate EDA • Types of Exploratory Data Analysis: • Univariate Analysis • Bivariate Analysis • Multivariate Analysis • How do We Understand the Data? Day: 7 EDA: Bivariate | Multivariate • EDA Bivariate Analysis • EDA Multivariate Analysis Day: 8 Panda Profiling | Type of Feature Engineering • How do we use the pandas profiling tool? • Feature Engineering • Feature Transformation • Feature Construction • Feature Selection • Feature Selection Day: 9 Categorical Variables | One Hot Encoding | Ordinal & Label Encoding • How to Encode “Categorical Variables”? • What is categorical data? • Type of categorical data? • What is Ordinal Data? • Ordinal Encoding • Label Encoding • What is Nominal Data? • One Hot Encoding Day: 10 Handling Missing Data | Missing completely at random (MCAR) | Complete Case Analysis (CCA) • Handling Missing Data • What are the problems with missing data? • Remove Missing Values • What is missing completely at random (MCAR)? • Pro and Corns Complete Case Analysis (CCA)? • When do we use CCA? ➖➖➖➖➖➖ ❇️ Explore our Job Oriented Courses: https://www.theiscale.com/explore-course ➖➖➖➖➖➖ ❇️ 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) ❇️ WhatsApp Now: https://wa.me/917880113112 ➖➖➖➖➖➖ ✳️ Join Telegram Channel- https://t.me/TheiScale #dataanalytics #datascience #machinelearning #freecourse #python #pythonprogramming #freeclasses #artificialintelligence #hindi #courseinhindi #job #part1 #9hoursstream #iscale #industrieshelpinghands #machinelearning #artificialintelligence #generativeai #GenerativeAIAWS #aws #amazon #amazonwebservices #techtrends2024 #Innovation #AIInnovations #FutureTech #ai #machinelearning

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