Advanced Data Analytics with ML & AI Overview
Immerse yourself in the cutting-edge field of Advanced Data Analytics! Our intensive course seamlessly integrates Machine Learning and Artificial Intelligence into data analysis. Perfect for data analysts proficient in Python, you’ll delve into machine learning fundamentals, explore AI integration, and gain hands-on experience in neural networks. Elevate your skills and empower your career in the data-driven future.
- Advanced data exploration using Pandas
- Visualization techniques with Matplotlib and Seaborn
- Statistical analysis of data using Pandas
- Grouping and aggregation operations with Pandas
- Merging and joining datasets using Pandas
- Case studies and practical exercises with Ensemble Methods: Gradient Boosting, XGBoost
- K-Means Clustering with Pandas and Scikit-learn
- Clustering techniques using Pandas and Scikit-learn: K-Means, DBSCAN
- Dimensionality reduction methods with Pandas and Scikit-learn: PCA, t-SNE
- Applications of unsupervised learning in real-world scenarios
- Feature scaling techniques with Pandas
- Hyperparameter tuning and model selection using Scikit-learn: GridSearchCV, RandomizedSearchCV
- Implementing Neural Networks with Pandas and Scikit-learn (basics)
- Integrating learned concepts in a comprehensive project
- Chatbot Development for Customer Support
- Create an AI-powered chatbot that handles customer queries by understanding natural language and providing solutions.
- Energy Consumption Forecasting
- Analyze historical energy usage data to forecast future consumption patterns, aiding in resource allocation.
- Predictive Maintenance for Industrial Equipment
- Use sensor data from machines to predict maintenance needs and prevent breakdowns.
- Recommendation System for E-commerce
- Build an AI-driven recommendation engine using customer behavior and purchase history data to suggest products.
- Final review and discussion of the course content