??? quote "LIBRARIES USED"
- pandas
- numpy
- scikit-learn
- matplotlib
- seaborn
- tensorflow
- keras
!!! info "What is the requirement of the project?"
- Write the answer here in simple bullet points.
??? info "Why is it necessary?"
- Write the answer here in simple bullet points.
??? info "How is it beneficial and used?"
- Write the answer here in simple bullet points.
??? info "How did you start approaching this project? (Initial thoughts and planning)"
- Write the answer here in simple bullet points.
??? info "Mention any additional resources used (blogs, books, chapters, articles, research papers, etc.)."
- Write the answer here in simple bullet points.
=== "Step 1"
Initial data exploration and understanding:
- Start Writing from here in bullet points.
=== "Step 2"
Data cleaning and preprocessing:
- Start Writing from here in bullet points.
=== "Step 3"
Feature engineering and selection:
- Start Writing from here in bullet points.
=== "Step 4"
Model training and evaluation:
- Start Writing from here in bullet points.
=== "Step 5"
Model optimization and fine-tuning:
- Start Writing from here in bullet points.
=== "Step 6"
Validation and testing:
- Start Writing from here in bullet points.
=== "Trade Off 1" - Describe the trade-off encountered (e.g., accuracy vs. computational efficiency). - Explain how you addressed this trade-off (e.g., by optimizing hyperparameters, using a more efficient algorithm, etc.).
=== "Trade Off 2" - Describe another trade-off (e.g., model complexity vs. interpretability). - Explain the solution (e.g., by selecting a model that balances both aspects effectively).
!!! success "Project workflow"
``` mermaid
graph LR
A[Start] --> B{Error?};
B -->|Yes| C[Hmm...];
C --> D[Debug];
D --> B;
B ---->|No| E[Yay!];
```
??? tip "Visualizations and EDA of different features"
=== "Image Topic"
??? example "Model performance graphs"
=== "Image Topic"
| Model | Accuracy | MSE | R2 Score |
|---|---|---|---|
| Model Name | 95% | 0.022 | 0.90 |
| Model Name | 93% | 0.033 | 0.88 |
!!! tip "Insights gained from the data" - Write from here in bullet points
??? tip "Improvements in understanding machine learning concepts" - Write from here in bullet points
??? tip "Challenges faced and how they were overcome" - Write from here in bullet points
=== "Application 1"
**Headline**
- Explain your application
=== "Application 2"
**Headline**
- Explain your application