This project was created for an INSAID (International School of AI and Data Science) term project (Term 4 - Intermediate Machine Learning) to predict the species of the Iris Dataset
A brief overview of the project:
- EDA
- Train-Test-Split
- Scaling of Data
- Linear Regression
- Logistic Regression
- Regression using Decision Trees (including Gridsearch CV)
- Regression using Random Forests (including Randomized Search CV)
- Naive Bayes Classification
- K Means Clustering
- SVM Classification
- Model Evaluation
To check out my notebook, please click here
To find me on Github, please click here