Machine Learning for Analytics
$499
Bridge the gap between analytics and artificial intelligence with this comprehensive machine learning course tailored for analytics professionals. Learn to implement ML algorithms that automate insights, improve predictions, and unlock hidden patterns in your data.
What You'll Learn:
- Foundations of machine learning and AI concepts
- Supervised learning: regression and classification algorithms
- Unsupervised learning: clustering, dimensionality reduction
- Neural networks and deep learning fundamentals
- Natural language processing for text analytics
- Recommendation systems and collaborative filtering
- Time series forecasting with ARIMA and LSTM
- Model evaluation, hyperparameter tuning, and cross-validation
- MLOps: model deployment and monitoring in production
- Ethical AI and responsible machine learning practices
Course Details:
- Duration: 14 weeks (10-12 hours per week)
- Level: Advanced
- Prerequisites: Python programming, statistics fundamentals
- Format: Video lectures, coding projects, research papers
- Certificate: Machine Learning Specialist Certification
- Tools: Python, TensorFlow, PyTorch, scikit-learn, Keras
Key Features:
- Build 10+ end-to-end ML projects for your portfolio
- Access to GPU-powered cloud computing environment
- Weekly office hours with ML practitioners
- Kaggle competition participation and guidance
- Interview preparation for ML engineering roles
- Exclusive access to pre-trained models and datasets
- Career mentorship and job placement assistance