RaveData

At RaveData, we create, curate, and collaborate on resources and projects related to  Data Science, Machine Learning, AI, Analytics, Big Data,  Data Mining etc.

[RaveData @RaveData]

For Data Science related resources, keep checking this link. I will be adding more free resources in the links mentioned.

#DataScience #MachineLearning #RaveData
https://t.co/WAJCJYBc8Q

[RaveData @RaveData]

What is the Confidence Interval? What does it convey? What is the probability that a confidence interval also includes the population parameter?

This #StatisticsBasics short video deals with the topic of Confidence Interval.

#statistics #datascience

https://t.co/RqsqoWnxWH

[RaveData @RaveData]

This Python Crash course is useful for anyone wanting to get a headstart with Data Science and Machine Learning.
#MachineLearning #datascience #python

https://t.co/1zb00GYJld

[RaveData @RaveData]

A simple guide for converting a pdf to text and then extracting data using a regular expression. #datascience #python

https://t.co/5eqfW3bHj3

[RaveData @RaveData]

The Bayes theorem is magical.

We both can start with two different beliefs and can reach the same conclusion by continuously updating our beliefs based on the available evidence.

#bayesian #datascience #MachineLearning #probability #RaveData

https://t.co/caqXLT5OYg

[RaveData @RaveData]

@EFPR4 https://t.co/NjplL5vgu5

[RaveData @RaveData]

@kdnuggets https://t.co/NjplL5vgu5

[RaveData @RaveData]

@marcusborba @datascitnbc https://t.co/NjplL5vgu5

[RaveData @RaveData]

@KirkDBorne @stanley_h_chan https://t.co/NjplL5vgu5

[RaveData @RaveData]

@AnalyticsVidhya https://t.co/4K0bxkXUpZ

[RaveData @RaveData]

In this post, the problem of overfitting is explained in detail. The post also discusses the causes of overfitting, it's consequences, bias-variance tradeoff and the ways to minimize the effect of overfitting. Check out.

#datascience #MachineLearning
https://t.co/SMDZstn3jo

[RaveData @RaveData]

@AnalyticsVidhya Check the idea here:

https://t.co/SMDZstnB8W

[RaveData @RaveData]

@IndieHackers check us at https://t.co/Ggjh51NeLy

[RaveData @RaveData]

The Bayes theorem is magical.

We both can start with two different beliefs and can reach the same conclusion by continuously updating our beliefs based on the available evidence.

#bayesian #datascience #MachineLearning #probability #RaveData

https://t.co/caqXLT5OYg

[RaveData @RaveData]

A simple guide for converting a pdf to text and then extracting data using a regular expression. #datascience #python

https://t.co/5eqfW3bHj3

[RaveData @RaveData]

@newslettercrew https://t.co/ayROzjvCJ0
#DataScience
Once a week

[RaveData @RaveData]

@elonmusk Not everything is a scam!

[Vala Afshar @ValaAfshar]

The race for AI dominance has already started and most countries are left behind. https://t.co/uOgZ3Sqjt9

[RaveData @RaveData]

This Python Crash course is useful for anyone wanting to get a headstart with Data Science and Machine Learning.
#MachineLearning #datascience #python

https://t.co/1zb00GYJld

[Santiago @svpino]

Spend most of your time learning programming fundamentals.

Don't worry about the specifics of each language. I promise you'll never have issues picking up the new syntax.

Learn to program well, and you'll have unlimited access to every programming language out there.

[RaveData @RaveData]

Testing a Hypothesis involves some simple steps. This video discuss

- What is Null Hypothesis
- How to frame a hypothesis
- What is p value
- Flow chart of testing a hypothesis

#statistics #datascience #RaveData #StatisticsBasics

https://t.co/fGwn93ibAD

[RaveData @RaveData]

MIT has just released a free version of their Intro to Machine Learning course:

#DataScience #MachineLearning

https://t.co/y24rLFBiAp