Скачать или смотреть Hindi - AI Model Life Cycle | Model Development Lifecycle | MDLC vs SDLC| AI मॉडल लाइफ साइकिल हिन्दी

नमस्कार दोस्तों! 🙏
इस वीडियो में हम AI Model Life Cycle (AI मॉडल बनाने की पूरी प्रक्रिया) को step-by-step समझेंगे — Define Business Objective से लेकर Model Deployment और Monitoring तक।

👉 इसमें आपको मिलेगा:

AI Model Life Cycle का आसान हिंदी में पूरा explanation
Real-life examples जैसे Monthly Expenses Prediction और Fraud Detection
Concepts: Data Collection, EDA, Feature Engineering, Model Training, Evaluation, Hyperparameter Tuning, Deployment और Monitoring
Beginner-friendly demo Google Colab + GitHub resources

✨ यह वीडियो छात्रों, data science beginners और working professionals सभी के लिए perfect है।
अगर आप Machine Learning, Artificial Intelligence या Data Science सीखना चाहते हैं तो यह वीडियो आपके लिए है।


🔗 RESOURCES MENTIONED
GitHub Repo (Notebook & Dataset): https://github.com/mkgraiitr/machineL...

Build your first model (no code):
   • Hindi| What is Data Science| Build Your Fi...  

Google Colab for Beginners Tutorial:
   • Hindi|  गूगल कोलेब ट्यूटोरियल - Build ML M...  

Video: Statistical Concepts Explained (Mean, Std Dev):
   • Mean, Median, Mode, Variance and Standard ...  

Video: Normal Distribution and Skewness:
   • Hindi| Normal Distribution और Skewness आसा...  

Video: Evaluation Metrics for Regression Models Explained:
   • Hindi| Evaluation Metrics in Hindi |  सरल ...  

📌 Chapters:
00:00 - Introduction
00:47 - Introduction to the AI Model Lifecycle
01:15 - Phase 1: Define the Business Objective (Is AI necessary?)
02:31 - Phase 2: Planning and Design
03:28 - Phase 3: Data Collection (Finding the right data)
05:25 - Setting up the Project in Google Colab
06:33 - Phase 4: Exploratory Data Analysis (EDA)
09:16 - Phase 5: Data Preparation (Preprocessing & Feature Engineering)
11:18 - Splitting Your Data (Train/Test Split)
11:45 - Phase 6: Model Training (Linear Regression in action)
12:55 - Phase 7: Model Evaluation (How good is our model?)
14:18 - Phase 8: Model Tuning (Hyperparameter & Fine-Tuning)
15:41 - Phase 9: Model Testing (The final exam on unseen data!)
16:47 - Did We Meet Our Business Objective?
17:22 - Phase 10: Model Deployment & Monitoring
18:16 - Final Phase: Decision Making
18:43 - Full Lifecycle Recap
19:12 - Outro


About Your Trainer:
Manoj Tyagi holds a B.Tech degree from IIT Roorkee, is a CFA charterholder, and has completed a Postgraduate Program in AI/ML from the University of Texas at Austin. He conducts free online sessions every Sunday, specially designed for industry professionals looking to upskill in AI and Machine Learning.

Phone# +6591574359
X: https://x.com/mkgraiitr
LinkedIn:   / tyagimanojkumar  
email id: [email protected]

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