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Log transformation is a powerful technique in #ML that can potentially: 1. Reduce the skewness in data 2. Reduce the effects of outliers 3. Make data normally distributed #pythonkachill2 #pythonkachilla #pakdatasci #DataScience #MachineLearning #Datavisualization #Statistics #AI
𝘿𝙞𝙛𝙛𝙚𝙧𝙚𝙣𝙘𝙚 𝙗𝙚𝙩𝙬𝙚𝙚𝙣 𝙉𝙤𝙢𝙞𝙣𝙖𝙡 𝙖𝙣𝙙 𝙊𝙧𝙙𝙞𝙣𝙖𝙡 𝘿𝙖𝙩𝙖: A Thread🧵👇 #pythonkachilla2 #pythonkachilla #pakdatasci #DataScience #MachineLearning #DataVisualization #DataAnalytics
#Scopus database search "Machine Learning" shows that 392,013 documents results. How different fields are adopting modern methods in their research. #pythonkachill2 #pythonkachilla #pakdatasci #DataScience #MachineLearning #Datavisualization #energy #physics #engineering #maths
Detecting And Plotting Outliers In 3 Simple Steps By Using MS Excel. Thread 👇 #pythonkachilla #pakdatasci #DataScience #MachineLearning #DataVisualization
Data Visualization Libraries When to use them? Here's a quick guide #pythonkachilla2 #pythonkachilla #pakdatasci #DataScience #MachineLearning #datavisualization #codanics #pythonchilla #DataAnalytics
A quick guide for reading and summarizing a scientific article in one hour, the list on the left contains the time required in each section of the scientific paper, the one on the right is what you read from each section. #research #pythonkachilla #pakdatasci #DataScience
A beautiful tree shows us -What is literature review? -Why is it so important? #pythonkachilla2 #pythonkachilla #pakdatasci #DataScience #Literaturereview
Business understanding or domain knowledge plays a key role in data science without it one can't make insightful decisions. #pythonkachilla2 #pythonkachilla #pakdatasci #DataScience #MachineLearning #DataVisualization
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Use siuba library in Python to preserve all your skills from dplyr package in R #pythonkachilla2 #pythonkachilla #pakdatasci #DataScience #MachineLearning #DataVisualization
The best mind map for the parts and sections of a scientific paper, which makes it easier for the beginner researcher to write the research paper. #pythonkachilla2 #pythonkachilla #pakdatasci #DataScience #maind_map #scientific_articles
Smart Grid System: Efficient and quicker transmission of electricity. Reduced operations and management costs for utilities, and ultimately lower power costs for consumers. #python #pythonkachilla #rstats #MetaAnalysis #machinelearning #pakdatasci
𝑨 𝒓𝒐𝒂𝒅𝒎𝒂𝒑 𝒕𝒐 𝒍𝒆𝒂𝒓𝒏 𝔻𝕒𝕥𝕒 𝕊𝕔𝕚𝕖𝕟𝕔𝕖 𝒇𝒓𝒆𝒆𝒍𝒚 𝒇𝒓𝒐𝒎 ℂ𝕠𝕕𝕒𝕟𝕚𝕔𝕤 𝒊𝒏 𝕌𝕣𝕕𝕦/ℍ𝕚𝕟𝕕𝕚 𝒘𝒊𝒕𝒉 𝒅𝒆𝒔𝒊 𝒔𝒕𝒚𝒍𝒆. #pythonkachilla #pakdatasci #DataScience #pythonlearning m.facebook.com/groups/codanic…
What is the difference between Generative and Discriminative models? #pythonkachill2 #pythonkachilla #pakdatasci #DataScience #MachineLearning #Datavisualization #DeepLearning #NLP #AI Simple guide in a 🧵⬇️
How to design a database based on requirements? How to tackle complex programming logic? #pythonkachilla #pakdatasci #DataScience #MachineLearning #DataVisualization #SQL #Database
13 Sample Architectures to Kickstart Your Google Cloud Journey. #pakdatasci #pythonkachilla2 #pythonkachilla #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #Serverless #Linux #Programming #Coding #100DaysofCode
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5 𝙏𝙊𝙋 𝙋𝙮𝙩𝙝𝙤𝙣 𝙇𝙞𝙗𝙧𝙖𝙧𝙞𝙚𝙨 that you should master to become a 𝘿𝙖𝙩𝙖 𝙎𝙘𝙞𝙚𝙣𝙩𝙞𝙨𝙩 A Thread🧵 #pythonkachilla2 #pythonkachilla #pakdatasci #DataScience #MachineLearning #DataVisualization #DataAnalytics
ML, data science, analytics #pakdatasci #pythonkachilla #pythonkachilla2 #ArtificialIntelligence #AI #ML #DataScience #DataScientists #CodeNewbies #Tech #deeplearning #CyberSecurity #Python #Coding #javascript #rstats #100DaysOfCode #programming #Linux #IoT #IIoT #BigData
About DataScience And Machine Learning. #pythonkachilla2 #MachineLearning #pythonkachilla #pakdatasci #DataScience #DataVisualization #pythonlearning
𝘿𝙞𝙛𝙛𝙚𝙧𝙚𝙣𝙘𝙚 𝙗𝙚𝙩𝙬𝙚𝙚𝙣 𝙉𝙤𝙢𝙞𝙣𝙖𝙡 𝙖𝙣𝙙 𝙊𝙧𝙙𝙞𝙣𝙖𝙡 𝘿𝙖𝙩𝙖: A Thread🧵👇 #pythonkachilla2 #pythonkachilla #pakdatasci #DataScience #MachineLearning #DataVisualization #DataAnalytics
➡Selection of Appropriate Statistical Methods for Data Analysis. #pakdatasci #pythonkachilla #journal #Bioinformatics #neuroscience #PhD #RStats #AcademicTwitter #postdoc #OpenAccess #phdchat #Statistics #Research #publication #biology #Chemistry #datascience #postdoc #AI
To become a #DataScientist, we must sharpen our competencies as indicated below. #pythonkachilla2 #pythonkachilla #pakdatasci #DataScience #MachineLearning #DataVisualization #programming #STATISTICS #DataAnalytics
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Conversion of images in pdf using Python #pythonkachill2 #pythonkachilla #pakdatasci #DataScience #MachineLearning #pythoncode #tools
6 reliable writing tools that can help you in writing. #pythonkachill2 #pythonkachilla #pakdatasci #DataScience #MachineLearning #WritingCommunity #tools #AcademicChatter #AcademicWriting
𝙈𝙀𝙏𝘼-𝘼𝙉𝘼𝙇𝙔𝙎ℹ️𝙎 - 𝙒𝙝𝙮 𝙙𝙤 𝙬𝙚 𝙙𝙤 𝙞𝙩 𝙖𝙣𝙙 𝙃𝙤𝙬 𝙬𝙚 𝙙𝙤 𝙞𝙩 !! A 🧵 ⤵️ #pythonkachilla2 #pythonkachilla #pakdatasci #DataScience #AcademicTwitter #Academia #AcademicChatter #PhD #metaanalysis #research
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Need help in Time Management? Prioritize according to the Given Quadrant #pythonkachilla2 #pythonkachilla #pakdatasci #DataScience #MachineLearning #DataVisualization
Confused between population and sample? Have a clear picture here. #Statistics #pythonkachilla2 #pythonkachilla #pakdatasci #DataScience #MachineLearning #Datavisualization
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Log transformation is a powerful technique in #ML that can potentially: 1. Reduce the skewness in data 2. Reduce the effects of outliers 3. Make data normally distributed #pythonkachill2 #pythonkachilla #pakdatasci #DataScience #MachineLearning #Datavisualization #Statistics #AI
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