Course Overview
- Course Title: Master Machine Learning 5 Projects: MLData Interview Showoff
- Instructor: Temotec Learning Academy
- Target Audience:
- Data science enthusiasts
- Machine learning practitioners
- Professionals preparing for data science interviews
- Prerequisites:
- Python programming basics
- Machine learning concepts
- Python libraries: NumPy, Pandas, scikit-learn
- Jupyter Notebook familiarity
Curriculum Highlights
- Key Topics Covered:
- Data analysis workflow
- Feature engineering
- Predictive modeling techniques
- Classification and regression models
- Real-world projects:
- Customer churn prediction
- Image classification
- Fraud detection
- Housing price prediction
- Key Skills Learned:
- Data preprocessing
- Visualization
- Extracting meaningful insights
- Building predictive models
- Model training and evaluation
- Feature selection
- Handling imbalanced datasets
- Communicating machine learning projects
Course Format
- Duration: 2.5 hours on-demand video
- Format: Self-paced online course
- Resources:
- 1 article
- 5 downloadable resources
- Access on mobile and TV
- Certificate of completion