From d7da5d205ee3bac6928d9dab607b1d6f5817d5e8 Mon Sep 17 00:00:00 2001 From: Edem Gold <78963277+EdemGold@users.noreply.github.com> Date: Sun, 8 Aug 2021 16:07:55 -0700 Subject: [PATCH] Addition of free resources Addition of free machine learning resources and free python courses --- README.md | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/README.md b/README.md index 602cdac..a63491c 100644 --- a/README.md +++ b/README.md @@ -27,6 +27,10 @@ Watch the video on YouTube for instructions: - [ ] [Khan Academy - Statistics Probability](https://www.khanacademy.org/math/statistics-probability) - [ ] Python - [ ] [Python Full Course 4 Hours - FreeCodeCamp on YouTube](https://www.youtube.com/watch?v=rfscVS0vtbw) + - [ ] [Python Crash Course - Coursera](https://www.coursera.org/learn/python-crash-course) + - [ ] [python Crash Course - Coursera](https://www.coursera.org/learn/python-data) + - [ ] [Python 3.6 for total Beginers](https://www.coursera.org/learn/python-data) + - [ ] [Python Crash Course - simpilearn](https://www.youtube.com/watch?v=Yrtm7d3TJbs) - [ ] [Advanced Python - Playlist on YouTube (Python Engineer)](https://www.youtube.com/watch?v=QLTdOEn79Rc&list=PLqnslRFeH2UqLwzS0AwKDKLrpYBKzLBy2) - [ ] [Numpy - Free Udemy Course](https://www.udemy.com/course/deep-learning-prerequisites-the-numpy-stack-in-python/) - [ ] Matplotlib @@ -36,13 +40,16 @@ Watch the video on YouTube for instructions: ### 1. Basics Machine Learning - [ ] [Coursera Free Course by Andrew Ng](https://www.coursera.org/learn/machine-learning) +- [ ] [Machine Learning crash course - edureka](https://www.youtube.com/watch?v=b2q5OFtxm6A) - [ ] [Machine Learning Stanford Full Course on YouTube](https://www.youtube.com/watch?v=PPLop4L2eGk&list=PLLssT5z_DsK-h9vYZkQkYNWcItqhlRJLN) +- [ ] [Machine Learning crash course - simplilearn](https://www.youtube.com/watch?v=9f-GarcDY58) - [ ] [Udacity - Introduction to Machine Learning](https://www.udacity.com/course/intro-to-machine-learning--ud120) - [ ] [Machine Learning From Scratch - Playlist on YouTube (Python Engineer)](https://www.youtube.com/watch?v=ngLyX54e1LU&list=PLqnslRFeH2Upcrywf-u2etjdxxkL8nl7E) - [ ] Books (Optional and not free, but I recommend at least the first one): - [ ] [Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow - Aurélien Géron](https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=sr_1_1?crid=1J69S9GKU93E4&keywords=hands+on+machine+learning+with+scikit-learn+and+tensorflow+2&qid=1584648367&sprefix=hands+o%2Caps%2C256&sr=8-1) - [ ] [Python Machine Learning - Sebastian Raschka](https://www.amazon.com/Python-Machine-Learning-scikit-learn-TensorFlow/dp/1789955750/ref=sr_1_1?crid=L7PEHL95RXH4&keywords=python+machine+learning&qid=1584648438&sprefix=python+ma%2Caps%2C230&sr=8-1) - [ ] [Introduction to Machine Learning with Python - Andreas Müller](https://www.amazon.com/Introduction-Machine-Learning-Python-Scientists/dp/1449369413/ref=sr_1_1?crid=WAQPG9CEM3W&keywords=introduction+to+machine+learning+with+python&qid=1584648523&sprefix=introduc%2Caps%2C238&sr=8-1) + - [ ] [Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow - Aurélien Géron -free Ebook](https://www.pdfdrive.com/hands-on-machine-learning-with-scikit-learn-and-tensorflow-concepts-tools-and-techniques-e168440497.html) ### 2. Deep Learning - [ ] [Stanford Lecture - Convolutional Neural Networks for Visual Recognition](https://www.youtube.com/watch?v=vT1JzLTH4G4&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv)