How to Compile C/C code in VS code (Windows)

Compile your C/C++ code in windows using vs code Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/how-to-compile-c-c-code-in-vs-code-windows-c9d2903a993?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/how-to-compile-cc-code-in-vs-code-windows

Top 5 Free Machine Learning and Deep Learning eBooks Everyone should read

There is always so much new to learn in machine learning, and keeping well grounded in the fundamentals will help you stay up-to-date with the latest advancements while acing your career in Data Science. Originally from KDnuggets https://ift.tt/32eZSUr source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-5-free-machine-learning-and-deep-learning-ebooks-everyone-should-read

Interpretability Explainability and Machine Learning What Data Scientists Need to Know

The terms “interpretability,” “explainability” and “black box” are tossed about a lot in the context of machine learning, but what do they really mean, and why do they matter? Originally from KDnuggets https://ift.tt/2Jwggcp source https://365datascience.weebly.com/the-best-data-science-blog-2020/interpretability-explainability-and-machine-learning-what-data-scientists-need-to-know

LightGBM on Home Credit Default Risk Prediction

Let’s see if this tree-based model is able to predict default risk. Photo by Jan Huber on Unsplash Predicting whether or not a person is able to repay their loan might be kinda important for lenders. Here’s actually where machine learning comes into the game. In this article, I would like to share my experience of employingContinue reading “LightGBM on Home Credit Default Risk Prediction”

9 Tips and Tricks for Better Visualization in Matplotlib

Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Originally Posted on my Website — Let’s Discuss Stuff For using matplotlib in jupyter notebook, first, you need to import the matplotlib library. In this blog post, I have discussed a list of 9 tips and tricks that you can use while working with matplotlib. OriginallyContinue reading “9 Tips and Tricks for Better Visualization in Matplotlib”

Bookmakers Margin and Arbitrage Betting

Calculate Bookmaker’s Margin Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/bookmakers-margin-and-arbitrage-betting-4e0f09f6bbbb?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/bookmakers-margin-and-arbitrage-betting

The Best Data Science Certification Youve Never Heard Of

The CDMP is the best data strategy certification you’ve never heard of. (And honestly, when you consider the fact that you’re probably working a job that didn’t exist ten years ago, it’s not surprising that this certification isn’t widespread just yet.) Originally from KDnuggets https://ift.tt/2HV10Wo source https://365datascience.weebly.com/the-best-data-science-blog-2020/the-best-data-science-certification-youve-never-heard-of

KDnuggets News 20:n42 Nov 5: Top Python Libraries for Data Science Data Visualization & Machine Learning; Mastering Time Series Analysis

Top Python Libraries for Data Science, Data Visualization, Machine Learning; Mastering Time Series Analysis with Help From the Experts; Explaining the Explainable AI: A 2-Stage Approach; The Missing Teams For Data Scientists; and more. Originally from KDnuggets https://ift.tt/35YK8G2 source https://365datascience.weebly.com/the-best-data-science-blog-2020/kdnuggets-news-20n42-nov-5-top-python-libraries-for-data-science-data-visualization-machine-learning-mastering-time-series-analysis

Building Deep Learning Projects with fastai From Model Training to Deployment

A getting started guide to develop computer vision application with fastai. Originally from KDnuggets https://ift.tt/3oYP1HJ source https://365datascience.weebly.com/the-best-data-science-blog-2020/building-deep-learning-projects-with-fastai-from-model-training-to-deployment

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