5
Lessons
15h
Duration
English
Language
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Course features:
- Practical hands on
- Lab sessions
- Training by experienced faculty
Learning Path
- Function Application
- Reindexing Python
- Iteration
- Sorting
- Working with Text Data Options & Customization
- Indexing & Selecting
- Data Statistical Functions
- Window Functions
- Date Functionality
- Time Delta
- Categorical Data
- Visualization Python Pandas – IO Tools
3 hours
- Supervised and Unsupervised Learning
- Types of Supervised Algorithms
- Semi-supervised
- Reinforcement Train
- Test
- Validation Split
3 hours
- Semi-supervised
- Reinforcement Train
- Test
- Validation Split
- R square
- Introduction to Scikit Learn
- Training Methodology
- Hands on Linear Regression
- Ridge Regression
- Logistics Regression
- Precision Recall ROC Curve
- F-Score
3 hours
- Classification: Decision Tree
- Cross Validation Bias vs Variance
- Ensemble approach Bagging
- Boosting Random Forest Variable Importance
3 hours
- K-Means Clustering
- Hierarchical Clustering
- Recommender System and Association
3 hours
- Income Qualification,
- Book Rental Recommendation
3 hours