eneskemalergin / datasciencelab

Data Science Lab Weekly Discussions

DataScienceLab

Data Science Lab Weekly Discussions

Week 1 - First step in Classification

Objectives:

• read tabular data
• create chars and plots
• Preprocessing numerical features
• Scale the data and split it to train and test set
• Classifier examples
• Hyperparameter Optimization - Grid search
• Confusion Matrix

Week 2 - End to end classification

Objectives:

• How to handle missing data
• categorical features
• Different classification models
• Kaggle Competition Mechanism

Week 3 - Classifying Text Data