Junsong Wang

[Analytics Vidhya @AnalyticsVidhya]

It is an awesome time to work on your #skillset! Working on Data Science #projects is a great way to stand out from the competition.
Check out these 7 #DataScience projects on #GitHub that will enhance your budding skillset! https://t.co/WWJmGc9dNW

[Analytics Vidhya @AnalyticsVidhya]

#NaiveBayes ranks in the top echelons of the #MachineLearning algorithms pantheon. It is widely used machine learning #algorithm and is often the go-to technique when dealing with #classification problems.
Here is a free course to understand Naive Bayes. https://t.co/meVumtREWM

[Deep_In_Depth @Deep_In_Depth]

The Fascinating No-Gradient Approach to Neural Net Optimization https://t.co/MfDmaQ7Kzx #DL #AI #ML #DeepLearning #ArtificialIntelligence #MachineLearning #AutonomousCar #NLP #NeuroMorphic #NPU #HPC #Robotics #AGI

[Analytics Vidhya @AnalyticsVidhya]

Here's a handy #cheatsheet to help you go through the crucial #dataexploration process in #Python! https://t.co/ludcBbvSVe

[Analytics Vidhya @AnalyticsVidhya]

Let us implement a mix of #MachineLearning algorithms to predict the future #stock price of a publicly listed company, starting with simple #algorithms like averaging / linear regression, then moving on to advanced techniques like Auto #ARIMA and LSTM. https://t.co/QoKUSIc0jC

[Real Python @realpython]

🐍📰 Beautiful Soup: Build a Web Scraper With Python — https://t.co/VZfaAiDo7p
#python

[Analytics Vidhya @AnalyticsVidhya]

Did you know you could use the idea behind #SVM for #regression problems? This article by Alakh Sethi introduces the concept of Support Vector Regression with a practical example! https://t.co/mncKbCQgoO

[MetabolomicsBot @MetabolomicsBot]

A systematic review of microRNA expression studies with exposure to bisphenol A https://t.co/s2AnwPC1WU

[OmicsLogic @OmicsLogic]

We had a FREE Webinar yesterday to discuss the topics we will be covering in the upcoming #DataScience Omics2020 program.

Watch the video to learn more- https://t.co/NYXiWvBwS0

[Analytics Vidhya @AnalyticsVidhya]

What are the assumptions we take for #LinearRegression? This often gets overlooked when we're working with libraries and tools.

This article deep dives into the various aspects of #regression and how to interpret them using plots. #DataScience https://t.co/YjX8XxVeFQ

[Analytics Vidhya @AnalyticsVidhya]

Since this is a great time to prepare yourself for future, here is a list of 40 #MachineLearning questions asked in #interviews!
According to you, What are the most frequently asked #questions in a #DataScience interview? https://t.co/6P1k0mB7ZW

[MetabolomicsBot @MetabolomicsBot]

Biogeography of microbial bile acid transformations along the murine gut https://t.co/kx9PTy5tVY

[Metabolomics Papers @Metabbot]

A global profile of reversible and irreversible cysteine redox post-translational modifications during myocardial ischemia / reperfusion injury and antioxidant intervention. Antioxid Redox Signal #metabolomics https://t.co/LOEDzWMwam

[Analytics Vidhya @AnalyticsVidhya]

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Boost your knowledge with our latest articles for the week!

💡 8 Data Visualization Tips for Better Communication - https://t.co/VklQNw0sFX
💡 Feature Transformation and Scaling Techniques to Boost the Performance of Your Model - https://t.co/CJPm9izaet

[Python Hub @PythonHub]

Make Your Python Code Fluent

With Function and Operator Overloading

https://t.co/lcZQGO3egD

[Analytics Vidhya @AnalyticsVidhya]

#SVM is an important #MachineLearning Technique. If you are a beginner, you can start here.The article explains SVM and it pros and cons. It includes code in #Python and R so you can get your hands dirty! https://t.co/kQyCIe0zPE #Algorithms

[Real Python @realpython]

🐍📰 Exploring HTTPS With Python

In this tutorial, you'll gain a working knowledge of the various factors that combine to keep communications over the Internet safe, and you'll use cryptography to build your own Python HTTPS application.

#python https://t.co/0FVMohAtgz

[Analytics Vidhya @AnalyticsVidhya]

Spencer Guy provides an extremely useful list of pandas function which a data scientist uses almost daily and which perform some heavy-duty data operations:

#datascience #data #datascientist
https://t.co/EW4B05bSrP

[KDnuggets @kdnuggets]

Demystifying #hypothesis testing with simple #Python examples https://t.co/TB7xGQ2QCv

[Real Python @realpython]

🐍 #Python Keywords: An Introduction 📰 https://t.co/GnFLZVFbUs