So about three years ago I set out to become a data scientist. I struggled learning and remembering all the stuff out there that I needed to know. I did course after course, tutorial after tutorial and nothing ever really stuck. Until I learned this technique. Using the strategy I managed to learn Python, Machine Learning with Scikit Learn and Deep Learning with Tensorflow. This same strategy is what I helped me land my current job as a data scientist. In fact I still use this strategy today, I'm using it to learn Discrete Optimization. You can grab all the content shown in the video here including the memory path, the dataset and the jupyter notebook: If you've got any questions about how to use it or would like to lear more, just hit me up in the comments or connect with me via socials below! Oh, and don't forget to connect with me! LinkedIn: Facebook: GitHub: Patreon:
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