Module 1: Introduction to Machine Learning
- What is Machine Learning?
- Types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning
- Real-world Applications of Machine Learning
- Machine Learning vs. Artificial Intelligence vs. Deep Learning
- Setting Up a Machine Learning Environment
Module 2: Python for Machine Learning
- Introduction to Python and Libraries for ML (NumPy, Pandas, Matplotlib, Scikit-learn)
- Data Manipulation and Preprocessing
- Data Visualization Techniques
- Exploratory Data Analysis (EDA)
Module 3: Supervised Learning
- Understanding Labels and Features
- Regression Algorithms (Linear Regression, Polynomial Regression)
- Classification Algorithms (Logistic Regression, Decision Trees, Random Forest, SVM)
- Performance Metrics: Accuracy, Precision, Recall, F1-Score
Module 4: Unsupervised Learning
- Clustering Techniques (K-Means, Hierarchical Clustering, DBSCAN)
- Dimensionality Reduction (PCA, t-SNE)
- Anomaly Detection
- Association Rule Learning
Module 5: Feature Engineering and Model Selection
- Handling Missing Data and Outliers
- Feature Scaling and Encoding
- Model Selection and Cross-Validation
- Hyperparameter Tuning (Grid Search, Random Search)
Module 6: Deep Learning Basics
- Introduction to Neural Networks
- Activation Functions and Backpropagation
- Building Neural Networks with TensorFlow & Keras
- Introduction to Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)
Module 7: Machine Learning Model Deployment
- Introduction to Model Deployment
- Using Flask and FastAPI for Model Deployment
- Deploying ML Models with Cloud Services (AWS, Google Cloud, Azure)
Module 8: Real-World Projects & Case Studies
- Sentiment Analysis with NLP
- Predicting House Prices
- Image Classification with CNN
- Fraud Detection in Banking
Who Should Enroll?
- Beginners in Data Science & AI
- Software Engineers and Developers
- Data Analysts and Statisticians
- Business Analysts and Researchers
Course Benefits
- Hands-on Projects and Assignments
- Industry-Recognized Certification
- Access to Study Materials and Community Support
- Career Guidance and Job Assistance
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