Machine-Learning-Intro-Intermediate

This repository contains pre-requisite notebooks of Machine Learning Course from Kaggle for my internship as a Machine Learning Application Developer at Technocolabs.

Name		Name	Last commit message	Last commit date
1-exercise-introduction.ipynb		1-exercise-introduction.ipynb
2-exercise-missing-values.ipynb		2-exercise-missing-values.ipynb
3_exercise-categorical-variables.ipynb		3_exercise-categorical-variables.ipynb
4_exercise-pipelines.ipynb		4_exercise-pipelines.ipynb
5_exercise-cross-validation.ipynb		5_exercise-cross-validation.ipynb
6_exercise-xgboost.ipynb		6_exercise-xgboost.ipynb
README.md		README.md
exercise-5-random-forests.ipynb		exercise-5-random-forests.ipynb
exercise-6-machine-learning-competitions.ipynb		exercise-6-machine-learning-competitions.ipynb
exercise_1-explore-your-data.ipynb		exercise_1-explore-your-data.ipynb
exercise_2-your-first-machine-learning-model.ipynb		exercise_2-your-first-machine-learning-model.ipynb
exercise_3-model-validation.ipynb		exercise_3-model-validation.ipynb
exercise_4-underfitting-and-overfitting.ipynb		exercise_4-underfitting-and-overfitting.ipynb

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