Top Tweets for #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
#MathsBehindML
Does more Data mean more information? How does feature selection works and How to do it via the Information Gain method.
#MachineLearning #datascience #ravedata
https://t.co/iap3mkNosf
How do the literacy rate and sex ratio is distributed within India as per Census 2011?
In part 1 of the Census of India 2011, we analyze and discuss these questions in detail.
#DataAnalysis #datascience #ravedata
https://t.co/GbUM6vUu1h
Much of the available information is captured as tables in a portable document format(PDF) files. How to extract the tabular information and reformat it for use?
https://t.co/HfJRbw0S6y
#DataMining #DataScience #python #RaveData
We always see terms like the sample, population, parameter, statistic, sampling bias, etc.. in data science literature.
In this video, I have discussed these basic terms and tried to keep it simple.
#datascience #statistics #RaveData #MachineLearning
https://t.co/4OHOPcfTgl
Hypothesis Testing Process flow chart.
#statistics #datascience #RaveData #StatisticsBasics
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An example of GPT-3 writing codes from instructions. Gpt-3 can write poems, quotes, convert simple language to legal language among thousands of other things. It is a 175 billion parameter model. Thanks to OpenAI
#MachineLearning #ArtificialIntelligence #GPT3 #openai #ravedata
Gpt-3 can write poems, write codes just by instructions among thousands of different things. It is a 175 billion parameter model and looks like it will change the way we work.
https://t.co/t4teV1JmVn
#openai #gpt3 #artificialintelligence #nlp #ravedata #MachineLearning
A picture is worth a thousand words. The same is true while working with data.
This #DataVisualization tutorial aims to teach everyone art of making publication quality scatterplots in Python.
#datascience #DataVisualization #RaveData
https://t.co/EXodWBdIvs
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