This is a full description about- Advanced Diploma in Machine Learning

🎯 Course Category
💻 Advanced IT & Technology

🎓 Eligibility
Minimum Qualification: 12th Pass
Basic programming & mathematics knowledge preferred

🎯 Course Objective
To develop professionals skilled in machine learning algorithms, predictive modeling, deep learning, and AI-based solutions.

📚 SUBJECT LIST (Only Subjects)
1️⃣ Machine Learning Fundamentals
2️⃣ Python for ML
3️⃣ Data Preprocessing & Feature Engineering
4️⃣ Supervised Learning
5️⃣ Unsupervised Learning
6️⃣ Deep Learning & Neural Networks
7️⃣ Model Evaluation & Optimization
8️⃣ ML Tools & Platforms
9️⃣ ML Capstone Project

📖 DETAILED SYLLABUS (Only Syllabus)

1️⃣ Machine Learning Fundamentals
• ML concepts & types
• Workflow & applications

2️⃣ Python for ML
• Python libraries for ML
• Data handling

3️⃣ Data Preprocessing & Feature Engineering
• Data cleaning & transformation
• Feature selection

4️⃣ Supervised Learning
• Regression & classification algorithms
• Model training

5️⃣ Unsupervised Learning
• Clustering & dimensionality reduction
• Anomaly detection

6️⃣ Deep Learning & Neural Networks
• CNN, RNN basics
• Model building

7️⃣ Model Evaluation & Optimization
• Accuracy, precision, recall
• Hyperparameter tuning

8️⃣ ML Tools & Platforms
• Jupyter Notebook, Colab
• Scikit-learn, TensorFlow

9️⃣ ML Capstone Project
• Real-world ML project
• Final assessment & viva

🎯 Career Scope
✔ Machine Learning Engineer
✔ Data Scientist
✔ AI/ML Developer
✔ Predictive Model Specialist