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Chronicle Of A Data Scientist/analyst - Programming (82) - Nairaland

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Looking For A Data Scientist To Help Me With These Questions / Data Scientist Only / Aspiring Data Scientist. (2) (3) (4)

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Re: Chronicle Of A Data Scientist/analyst by tobillionaire(m): 12:31am On Jan 01
Mrves111:

Hello Bibitayo2, please can you send me the excel e-book to vicsolet4greatness@gmail.com.
God bless you immensely
could you please forward the excel ebook to my mail? Tobyllionaire@gmail.com...

It was a very painful experience when I couldn't do my I.T at nestle for failure to perform simple computations with excel
Re: Chronicle Of A Data Scientist/analyst by Juicethekid: 8:40am On Jan 01
Marveaux:
Sent
please also send to ekenegodspower31@gmail.com
Re: Chronicle Of A Data Scientist/analyst by shellicon(m): 10:38am On Jan 02
Please my laptop got damaged and i need 10k to fix it; pls help a brother 3032703376 first bank
Re: Chronicle Of A Data Scientist/analyst by Starkid3010(m): 11:59am On Jan 02
Marveaux:

Sent
please also send to stoicstoic14@gmail.com
Or please if at all you can drop your whatsapp number so I can contact you
Re: Chronicle Of A Data Scientist/analyst by Raalsalghul: 6:11pm On Jan 02
Started studying again after a long break.

2 Likes

Re: Chronicle Of A Data Scientist/analyst by Drybones: 7:31pm On Jan 02
Let's keep the thread alive,

"ALUMNIS" of this thread who have been employed should come and share their experience too o.

I'm a beginner for now.

1 Like

Re: Chronicle Of A Data Scientist/analyst by abdeiz(m): 7:42pm On Jan 02
Drybones:
Let's keep the thread alive,

"ALUMNIS" of this thread who have been employed should come and share their experience too o.

I'm a beginner for now.


I agree too..
Re: Chronicle Of A Data Scientist/analyst by Xperienx(m): 8:06am On Jan 03
Raalsalghul:
Started studying again after a long break.
I can relate to this. Meanwhile
I need your opinions on this topic
https://gootent.com/Should_I_Use_Preact_Over_Reactjs&6
Re: Chronicle Of A Data Scientist/analyst by tolajay: 10:01am On Jan 03
Interesting!

This scope can be applied to virtually all forms of online conversations and social media platforms to understand patterns, styles and relationships in the communication process.

I recall a friend doing this to analyze trolls and their allies during the 2019 election. It was fascinating and sparked my interest in data analysis.

What tools did you use to mine and analyze the data?

Well done!


cochtrane:
Lately, I have been looking to mining relationships that may be existent in the network of relationships possible on a thread on Nairaland. If we collected data from any one thread, say this thread for example, we can define relationships between posters who quote each other in reply to other posts. If many more posters quote each other frequently than they do others, it is possible they could form a cluster of relationship independent from other relationships on a thread. I tried to look at this problem as a spectral partitioning problem and used linear algebra to examine possible solutions.

So, I scraped the data from this programming post on Nairaland and tried to look for clusters of relationships visualized as a directed graph. The direction of the edges indicate who quotes who. We can define this as a relationship between source and target. A user in the source column has made a post and quotes the target. Multiple quotes have been separated into separate observations. The first picture shows the kind of graph we expect. The second picture shows a sparse matrix defining the relationship between any two node. This is after symmetrizing the resultant matrix we obtain from the directed graph. The last picture shows the cluster we form using the second smallest eigenvector of the Laplacian of the matrix. This is also known as the Fielder vector.

That last graph reveals the two groups inherent in the data based on interaction between posters. In this particular dataset, the main center of interaction is the original poster (OP) who is Paapii3d. The groups appear to be divided based on those who have or did not have interactions with the OP. When the individual groups are examined, we find that users clustered in the top left are less likely to have interacted with Paapii3d, while bulk of the other users are more likely to have interacted with the OP, or interacted with those who interacted with the OP. The average number of interactions in Group 0 is about 1.1, while the average number of interactions in Group 1 is much higher at 2.12.

This kind of solution can be used to identify communities in a graph, especially, as in this case, where there is a main center of attraction. I'm working on putting the notebook which goes into details about the solution approach on github. If anyone is interested, you can let me know and I'll send you the link.
Re: Chronicle Of A Data Scientist/analyst by tolajay: 10:15am On Jan 03
Nice.

Abeg, where in Sango? It's far from me but I can take time to come over.

Also, what's the size of the tutorials?

Thanks



mcemmy0z:
If you reside around songo Ota I have these available
*Udemy - Beginner to Pro in Excel Financial Modeling and Valuation
*Udemy - SQL - MySQL for Data Analytics and Business Intelligence
*Tableau 10 A-Z Hands-On Tableau Training For Data Science!
*Tableau Hands-on Learn Data Visualization with Tableau
*Udemy - Power BI A-Z Hands-On Power BI Training For Data Science
*Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science
*Udemy - Python for Financial Analysis and Algorithmic Trading
Re: Chronicle Of A Data Scientist/analyst by tolajay: 10:17am On Jan 03
Sup bro, were you able to get tutorials from him?

doncafu:


I reside around Abule Egba but I can come to Ota to collect it... Thanks in advance
Re: Chronicle Of A Data Scientist/analyst by Evanspaul(m): 11:41am On Jan 03
Hey guys look at the analysis I did with python and tableau
https://www.nairaland.com/6342138/nairaland-2020-frontpage-analysis-visualization

2 Likes

Re: Chronicle Of A Data Scientist/analyst by randomShek: 12:32pm On Jan 03
Evanspaul:
Hey guys look at the analysis I did with python and tableau
https://www.nairaland.com/6342138/nairaland-2020-frontpage-analysis-visualization
Solid work bro
Re: Chronicle Of A Data Scientist/analyst by Evanspaul(m): 12:52pm On Jan 03
randomShek:
Solid work bro
Thanks boss
Re: Chronicle Of A Data Scientist/analyst by Singingbae(m): 5:03pm On Jan 03
Good evening house, please I’ve been following up on this thread. Started Data Science and got stuck in differentiating between Linear regression, polynomial regression, decision tress, logistic regression and other types of classifications with Random forest and so on. I’ll like when to use these classifications, or they give us the same result?

Thanks as this decision is affecting the project I want to work on
Re: Chronicle Of A Data Scientist/analyst by Nastydroid(m): 5:09pm On Jan 03
tobillionaire:
could you please forward the excel ebook to my mail? Tobyllionaire@gmail.com...

It was a very painful experience when I couldn't do my I.T at nestle for failure to perform simple computations with excel
what kind of computation
Re: Chronicle Of A Data Scientist/analyst by Drybones: 5:58pm On Jan 03
Singingbae:
Good evening house, please I’ve been following up on this thread. Started Data Science and got stuck in differentiating between Linear regression, polynomial regression, decision tress, logistic regression and other types of classifications with Random forest and so on. I’ll like when to use these classifications, or they give us the same result?

Thanks as this decision is affecting the project I want to work on
To start with,do you know the difference between regression an classification?
Re: Chronicle Of A Data Scientist/analyst by Drybones: 5:58pm On Jan 03
Singingbae:
Good evening house, please I’ve been following up on this thread. Started Data Science and got stuck in differentiating between Linear regression, polynomial regression, decision tress, logistic regression and other types of classifications with Random forest and so on. I’ll like when to use these classifications, or they give us the same result?

Thanks as this decision is affecting the project I want to work on
To start with,do you know the difference between regression and classification?
Re: Chronicle Of A Data Scientist/analyst by tobillionaire(m): 9:32pm On Jan 03
Nastydroid:
what kind of computation
very simple o. Just addition, subtraction & count cos I googled it immediately I got home that day I never knew it's that simple, but like the saying "weytin you no know pass you".

2 Likes

Re: Chronicle Of A Data Scientist/analyst by tobillionaire(m): 9:34pm On Jan 03
Drybones:

To start with,do you know the difference between regression and classification?
go take statistics courses na
Re: Chronicle Of A Data Scientist/analyst by lymelyte(m): 9:39am On Jan 04
Raalsalghul:
Started studying again after a long break.
not really easy without motivation from ppl pursuing same career
Re: Chronicle Of A Data Scientist/analyst by Sirwallace(m): 10:23am On Jan 04
Singingbae:
Good evening house, please I’ve been following up on this thread. Started Data Science and got stuck in differentiating between Linear regression, polynomial regression, decision tress, logistic regression and other types of classifications with Random forest and so on. I’ll like when to use these classifications, or they give us the same result?

Thanks as this decision is affecting the project I want to work on



Regression are used to predict continuous label. In simple term, they are used to predict the values (usually number) from given features(parameters).
Say you wanna predict the price of Garri (label) and you have historical data of t-fare to the market at different location, different kind of garri, and their prices. This kind of problem is regression Cus you are after a particular figure for your prediction.

linear regression, lasso, polynomial regression, and some classification regression like random forest regressor etc falls into this line


Classification as the name suggest help you to classify and predict an exact label you have in your dataset.
If you have prehistorical data of a weather condition(features) in your area that suggest if it will rain or not(your labels). Then classification model will help predict an output (it will rain) or (it will not rain) based on the weather data.

This is where the logistica regression(Binary classifier), Decision tree, Random feorest, SVM etc falls in.

The kind of data you deal with determine the machine learning type and algorithm to use


Get a Hands on Machine learning book if you really wanna dive deep into this.
Re: Chronicle Of A Data Scientist/analyst by lymelyte(m): 3:38pm On Jan 04
@chilaka04, follow this thread from a to z and begin from here..
Re: Chronicle Of A Data Scientist/analyst by Singingbae(m): 7:38pm On Jan 04
Drybones:

To start with,do you know the difference between regression and classification?
I won’t lie I don’t. I don’t mind you break it down for me
Re: Chronicle Of A Data Scientist/analyst by Drybones: 10:01pm On Jan 04
Singingbae:

I won’t lie I don’t. I don’t mind you break it down for me
Regression: predicting numerical stuffs like the price of a house, house prices are continuous (aren't specific). You can see a house of 2500, 7000,35667,12566,5322 and any amount (the prices are assumed).
Regression mostly answers the question "what is".
e.g what is the price of the car? what is the height of the man?

Classification: predicting whether something is a or b, 1 or 0.
As you can see, what you are predicting in classification is fixed unlike the classification when the values you are predicting are very different. Classification mostly answers the question "is it"
e.g Is the car price expensive or cheap? Is the man tall or short.

3 Likes

Re: Chronicle Of A Data Scientist/analyst by tobillionaire(m): 11:07pm On Jan 04
This database still look confusing to me o.... Pls can anyone groom me on how to create tables and link them in a database, should I just go and be creating tables with ms access or I will have to download my sql to be able to create, query and modify tables
Re: Chronicle Of A Data Scientist/analyst by Singingbae(m): 5:03pm On Jan 05
Drybones:

Regression: predicting numerical stuffs like the price of a house, house prices are continuous (aren't specific). You can see a house of 2500, 7000,35667,12566,5322 and any amount (the prices are assumed).
Regression mostly answers the question "what is".
e.g what is the price of the car? what is the height of the man?

Classification: predicting whether something is a or b, 1 or 0.
As you can see, what you are predicting in classification is fixed unlike the classification when the values you are predicting are very different. Classification mostly answers the question "is it"
e.g Is the car price expensive or cheap? Is the man tall or short.




Thank you, please also can I get machine learning materials, I mean pdf
Re: Chronicle Of A Data Scientist/analyst by Drybones: 5:45pm On Jan 05
Singingbae:

Thank you, please also can I get machine learning materials, I mean pdf

You can search this on Google.

It is easy to understand.

Re: Chronicle Of A Data Scientist/analyst by Marveaux(m): 12:14am On Jan 06
Starkid3010:
please also send to stoicstoic14@gmail.com
Or please if at all you can drop your whatsapp number so I can contact you
Sent
Re: Chronicle Of A Data Scientist/analyst by Marveaux(m): 12:15am On Jan 06
Juicethekid:
please also send to ekenegodspower31@gmail.com
Sent
Re: Chronicle Of A Data Scientist/analyst by Mrves111: 4:13am On Jan 06
teewhydope:
just downloaded this, hoping to learn one or two things on excel

Please can you send the book to my email address. It's vicsolet4greatness@gmail.com.
Thank you very much
Re: Chronicle Of A Data Scientist/analyst by Mrves111: 4:34am On Jan 06
Babitayo2 please sir can you send me the book on excel to my email address which is vicsolet4greatness@gmail.com

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