https://github.com/mli42/python_bootcamp

42AI Bootcamps - Python & Machine Learning
https://github.com/mli42/python_bootcamp

linear-regression logistic-regression machine-learning overfitting python regularization

Last synced: 1 day ago
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42AI Bootcamps - Python & Machine Learning

• Host: GitHub
• URL: https://github.com/mli42/python_bootcamp
• Owner: mli42
• Created: 2020-01-13T12:30:49.000Z (almost 5 years ago)
• Default Branch: main
• Last Pushed: 2022-12-08T13:07:12.000Z (almost 2 years ago)
• Last Synced: 2023-03-05T04:17:29.137Z (over 1 year ago)
• Topics: linear-regression, logistic-regression, machine-learning, overfitting, python, regularization
• Language: Python
• Homepage:
• Size: 7.46 MB
• Stars: 3
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# python_bootcamp

This is my implementation for 42AI's bootcamp

### day00 to day04: [Bootcamp Python](https://github.com/42-AI/bootcamp_python)

- [x] Basics (variables, functions, generator, construtors, iterator, decorators)

- [x] Introduction to Numpy (NumPy array, slicing, stacking, dimensions, broadcasting, normalization)

- [x] Introduction to Pandas (Pandas DataFrame)

### day05 to day09: [Bootcamp Machine Learning (Python)](https://github.com/42-AI/bootcamp_machine-learning)

- [x] Get started with some **linear algebra** and **statistics**

> Sum, mean, variance, standard deviation, vectors and matrices operations.

> Hypothesis, model, regression, cost function.

- [x] **Univariate Linear Regression**

> Gradient descent, linear regression, normalization.

- [x] **Multivariate Linear Regression**

> Multivariate linear hypothesis, multivariate linear gradient descent, polynomial models.

> Training and test sets, overfitting.

- [x] **Logistic Regression**

> Logistic hypothesis, logistic gradient descent, logistic regression, multiclass classification.

> Accuracy, precision, recall, F1-score, confusion matrix.

- [x] **Regularization**

> Regularization, overfitting. Regularized cost function, regularized gradient descent.

> Regularized linear regression. Regularized logistic regression.