Gabe Htpea @MobGab

Joined August 2015

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Gabe Htpea @MobGab

4 years ago

@khayarion @jaimieboyd @DerekAlton @apoliticalco @cgpaan Would like to know all the 10 open data principles.

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Gabe Htpea @MobGab

4 years ago

In my bucket for 10K-hours journey.

Analytical Aakriti | The SQL Gal @Aakriti_Sarma

4 years ago

5 Beginner Data Analysis projects that help you check all the boxes✅ 🏅 Data visualization ( Tableau / BI ) 🏅 Data Cleaning ( SQL / Excel ) 🏅 EDA ( Python / R ) 🏅 Web Scraping ( Python ) 🏅 Sentiment Analysis ( Python / R )

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Gabe Htpea @MobGab

4 years ago

highlight: Where ever we have numbers, we can user data-science over there. EDA is our key to any kinds of business knowledge and understanding.

Engr. Sahil Jatoi @Jatoi8Sahil

4 years ago

What is Data Science? Science behind data or Where ever we have numbers, we can use data science over there 80% of the data science is under Exploratory Data Analysis EDA #pakdatasci #DataScience #MachineLearning #Datavisualization #phdchat #academicchatter #nature #codanics

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Gabe Htpea @MobGab

4 years ago

highlight: "EDA is important before building models using Algorithms. Firts comprehend the data deeply."

Derrick Kuria @kuria_muiru

4 years ago

3. Text analysis This is done through text features analysis like wordcloud and N-gram analysis. To conclude, EDA is important before building models using Algorithms. First, comprehend the data deeply. #EDA #DataScience #MachineLearning #dataanalysis

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Gabe Htpea @MobGab

4 years ago

Most performed EDA: 1. Volumetric Analysis 2. Time Pattern Analysis 3. Text Analysis 4. try again 1-3 in relation with other data.

Derrick Kuria @kuria_muiru

4 years ago

Mostly this EDA is performed using visual methods. I will split these EDA into these categories. 1. Volumetric Analysis 2.Time Pattern Analysis 3.Text Analysis 4/n

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Gabe Htpea @MobGab

4 years ago

8 focused steps with your dataset to make EDA... 1. View top records, how is the data. 2. Find categories and its distributions. 3. With numerical data: try statistics, visualize. 4,5. Imbalance dataset? Is it missing? 6,7. Remove Outliers, Duplicates 8. check Data relations.

Marta 🥷 @DatosNinja

4 years ago

Are you able to recognise if your Machine Learning model is telling you BS or not? There's only one way: Exploratory Data Analysis (EDA) aka "get to know your data" Some stuff you could be doing with your data 🤹‍♀️ A thread 🧶 [↓]