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		| @@ -384,7 +384,6 @@ To get started, simply fork this repo. Please refer to [CONTRIBUTING.md](CONTRIB | |||||||
| - [Step-By-Step Machine Learning In Python](https://machinelearningmastery.com/machine-learning-in-python-step-by-step/) | - [Step-By-Step Machine Learning In Python](https://machinelearningmastery.com/machine-learning-in-python-step-by-step/) | ||||||
| - [Predict Quality Of Wine](https://medium.freecodecamp.org/using-machine-learning-to-predict-the-quality-of-wines-9e2e13d7480d) | - [Predict Quality Of Wine](https://medium.freecodecamp.org/using-machine-learning-to-predict-the-quality-of-wines-9e2e13d7480d) | ||||||
| - [Solving A Fruits Classification Problem](https://towardsdatascience.com/solving-a-simple-classification-problem-with-python-fruits-lovers-edition-d20ab6b071d2) | - [Solving A Fruits Classification Problem](https://towardsdatascience.com/solving-a-simple-classification-problem-with-python-fruits-lovers-edition-d20ab6b071d2) | ||||||
| - [Learn Unsupervised Learning with Python](https://towardsdatascience.com/unsupervised-learning-with-python-173c51dc7f03) |  | ||||||
| - [Build Your Own Neural Net from Scratch in Python](https://towardsdatascience.com/how-to-build-your-own-neural-network-from-scratch-in-python-68998a08e4f6) | - [Build Your Own Neural Net from Scratch in Python](https://towardsdatascience.com/how-to-build-your-own-neural-network-from-scratch-in-python-68998a08e4f6) | ||||||
| - [Linear Regression in Python without sklearn](https://medium.com/we-are-orb/linear-regression-in-python-without-scikit-learn-50aef4b8d122) | - [Linear Regression in Python without sklearn](https://medium.com/we-are-orb/linear-regression-in-python-without-scikit-learn-50aef4b8d122) | ||||||
| - [Multivariate Linear Regression without sklearn](https://medium.com/we-are-orb/multivariate-linear-regression-in-python-without-scikit-learn-7091b1d45905) | - [Multivariate Linear Regression without sklearn](https://medium.com/we-are-orb/multivariate-linear-regression-in-python-without-scikit-learn-7091b1d45905) | ||||||
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