Course outline
1Data Science Ki Shuruaat
2Python for Data Science
3Pandas se Data Handling
4Data Cleaning aur EDA
5Statistics for Data Science
6Machine Learning
- Machine Learning Introduction: Pehla Model Banaiye
- Feature Engineering: Encoding, Scaling aur Naye Features
- Linear Regression: Numbers Predict Karna
- Logistic Regression: Classification Problems
- Decision Tree aur Random Forest
- Model Evaluation: Confusion Matrix, Precision, Recall aur Cross-Validation
- K-Means Clustering: Customer Segmentation
7Project aur Next Steps