₦airaland Forum

raymod170:
stay blessed

am awake working on the FIFA data set to achieve one or two of the tasks I mentioned earlier today

weh done sir, I anticipating your work. My problem now is my pc, anaconda is not loading, my pc is damn slow. I have minitab, but I'm not sure it can do the things R, Python, SAS, can do.

kokaneprodigy:
To be fair Mou wasn’t always like that early in his career.
The defensive approach all started when his success got into his head, he became arrogant, boastful, insulting other managers and acquired a blabber mouth. Having done all these it was very important to him to never lose to his rivals, reason he would always prefer a draw to risking losing to a rival. It’s an ego thing and it subconsciously became a part of his tactics.

thats true, Chelsea tap ball that year.

dubylhover:
one would read your status and think he's conversing with a civil person,but alas,all humans can't b sane

I hear, I'm insane.

patrickmuf:
Abeg make una chill, we all love United and want the best for the team...

I surrender.

dubylhover:
you dey mind that demented fellow

I no like online brawls, na waste of time. Na here cowards like una dey get mouth.

codedguy1:
Guy e no reach to commit suicide na.

sucide kor, I won burst person skull.

dubylhover:
ooh..and I was here thinking mourinho is just about defense

wow so its d players in utd team dat are bringing the park the bus idea right? Who con be coach. I which I had a gun.

Samcent:
To install a package you need Internet connection, but once installed, only have to load whenever you want to use which does not require Internet connection. But using the read.csv function doesn't not require any installing or loading, the function is available by default.

ok.

patrickmuf:
Lol then he failed cos he was definitely highly rated...And talking about Mbappe, for all his brilliance, the current state of the market was a major determinant in the price PSG ended up paying, a price many big teams frowned at...
A pointer? Lemar was priced at about 90m when he isn't as good as Martial.

true talk.

patrickmuf:
Please tell me what is a lie? That Martial wasn't a first team player?
Someone opined (he wasn't sure) Martial only played the playoffs and I only informed him that Martial was part of the team that reached the Quarter finals losing to Juventus, also pointing out that he was highly rated and that was why we accepted the inclusion of all those Balon d'or clauses in his contract...Please disprove the points highlighted and stop being overly aggressive...

bros, he just want to justify his claim that martial is not up to standard.

joeace2020:
Now my question to you like i pose to every other fan out there is.. Who is the replacement? Who is the manager with the pedigree, winning mentality and prestige to become our manager when we sack Mourinho? This is not in defense of Mourinho but in finding out what truly the Mourinho out brigade want for the team.

people plenty wen dey find work, you no just know them.

Ok we hear. All our players are useless, waste of money, let dem overhaul the team.
Mourinho stay and rebuild for how long you want.

elampiro:
I saw Mbappe destroying fullbacks in Champions League matches. Who knew Iheanacho, Walcot and Martial? Martial only played in UCL play off (I think).

who knew walcot, guy u funny o. E be like say u just start to watch ball.
Who knew kelechi, I weep.

elampiro:
Who was Martial before we bought him? He was an unknown kid. When we bought him, we had to look for youtube video of him to even know how he plays. Even Rooney asked Schneiderlin "who is Anthony Martial?" He scored a few beautiful goals in two months and regressed badly under Gaal.

Mbappe on the other hand was well known before PSG bought him

just d way everyone knew walcot, ihenacho,. The difference between martial and mbappe at their discovery is good publicity.

elampiro:
Why are we not always in for the best players? Mbappe, Neymar, etc?

People shouting Mourinho spent 300m, do you realize Guardiola has spent more and that Guardiola would gadly request City for 350m if Messi becomes available today?

mbappe mbappe mbappe, wetyn sef, martial no reach, no be una dey useless am. Abeg lets move on.

Samcent:
From your r studio, enter the code: install.packages('rio'). After installing, load the package with the code: library ('rio'). You can also load your csv files using 'read.csv()' function. You don't need to load any package to use read.csv function. Make sure your data is in your working directory.

do in I Internet connection for this.

SoftEng:
I've looked through kaggle to get a feel of the Complete Player dataset. I'm guessing you're referring to one of the links down below (I'm not sure the exact one).

If the above is correct, then there is no clear cut pre-defined task for the dataset (i.e. no clearly a classification or a regression problem). Based on Exploring Data section in authors description, it may seem that they provided the dataset for mainly analysis/visualisation of the dataset. However, people can work on many different types of tasks as evident in Kernels section of each dataset link. For example, predicting player position, which is a classification task.

In case you are not sure where to start, checkout the Kernels section of each dataset. The kernel section contains codes of tasks people worked on. You can read through their code/tutorial and run the code as well. This should help you improve your skills. You can also check out the "Discussion" section of the dataset link, which should give you a some additional ideas of what people are working on, questions raised etc.


Short Note On Data Analysis/Visualisation
Data analysis/visualisation is a key preliminary step in any datascience project. It enables you (the data scientist) to get a good feel (and other useful information such as mean and variance of the dataset distribution). Additionally, through data analysis/visualisation you may be able to find out duplicate features in samples of your dataset as well as eliminate or reduce the number of features in samples of your dataset. Usually, after data analysis/visualisation stage, the data scientist is better equipped to select the right kind of machine learning model (e.g. random forest, gradient boosting, neural network and so on) that may work best for the dataset.


Links
1. https://www.kaggle.com/thec03u5/fifa-18-demo-player-dataset
2. https://www.kaggle.com/artimous/complete-fifa-2017-player-dataset-global
3. https://www.kaggle.com/kevinmh/fifa-18-more-complete-player-dataset

thanks boss.

Samcent:
The Fifa 18 More Complete Player Dataset has 17,994 observations and 185 variables. What do you have in mind to accomplish with this dataset? Honestly, I am not sure which machine learning task to apply. However, I think doing a k-means cluster analysis may help throw some light on the data. Also, you may not need to work with all the 185 variables. These are my amateur submissions though.

I have nothing in mind as of now.

Neymar1095:
Mr sensible Keep in mind that a simile is a type of metaphor.

I just learnt something new.

Samcent:
From your r studio, enter the code: install.packages('rio'). After installing, load the package with the code: library ('rio'). You can also load your csv files using 'read.csv()' function. You don't need to load any package to use read.csv function. Make sure your data is in your working directory.

ok. I will try it.

Samcent:
Can you describe the dataset? If there is a variable on the COMPLETE PLAYER that is captured as YES or NO, then it's a classification task. Logistic regression is also a classification task. If you don't mind can we work on this dataset together for learning purpose. I am also new to machine learning.

there is no variable indicating yes or no, just the club of the players, nation, weighg, height, and so on.
We can work on it surely. It would be nice.

Samcent:
The dataset you want to load is in which format,.... csv, xlsx...? There's a package in r called rio. Install the package if you haven't and load. Then use 'import()' function to load your dataset. Make sure the dataet is already downloaded in your machine and remember to added the right file extension. Eg: import('iris.xlsx') , for iris dataset in an excel format. I hope the above helps.

yes its csv, how can I install d rio package.

dubylhover:
I no understand u

no worry.

nitrogen:
Sterling under Pep - Epl's Messi
Sterling under Mourinho - Defensive Winger

defensive keeper sef.

dubylhover:
is Herrera asked to play his "abnormal" game?

nawa o. Una go see wetyn dey happen una go won talk true. Be truthful. Aaahhhh. Make everybody juat dey watch him match dey go.

4kings:
Okay.
What are you doing by the way?

I just downloaded a dataset from kaggle, about the most complete player.
I just want to try my best, I'm just a learner. What kind of problem is that: determining the most complete player, classification, regression, or which?

4kings:
@odizeey you have to install the required packages.
use:
install.packages('Rcpp')

Or using devtools directly:
devtools::install_github("tidyverse/readr" )

thanks. I'm even thinking of using python, I want to download d anaconda file.

dubylhover:
ogbeni did I quote or ref you?

I can quote you if I like, its my phone.

dubylhover:
hehehehehe you self noticed,I was just wondering where they emanated from when d team is at its nadir

because nairaland na una property abi. Clap for yourself.

dubylhover:
whr did I say so?

sorry, I misread.

nitrogen:
Tell me more!

You telling me that those headless chickens are better than our midfielders? Wow!

Better to say that they are more effective because of the manager's style. Simples!

bros I surprised at what im seeing here

dubylhover:
you have valid points,I think their issue lies in having a proper 4 to shield the defense,heard that Keita can play the role but he's also dangerous bursting forward so it might b a waste just making him sit at d back...we seriously need to splash money oo or be left behind..

so matic is not good again.