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Re: Artificial Intelligence And Machine Learning Group by odizeey(m): 8:37am On Dec 26, 2017
Please, I keep seeing error like this (getOption (repos)) when I want to load data set in Rstudio, what should I do please.
Re: Artificial Intelligence And Machine Learning Group by 4kings: 2:10pm On Dec 26, 2017
odizeey:
Please, I keep seeing error like this (getOption (repos)) when I want to load data set in Rstudio, what should I do please.
getOption("repos" ) is a command in R, so i don't quite understand you.

How did you try to load your dataset and can you also post the full error shown.
Re: Artificial Intelligence And Machine Learning Group by odizeey(m): 8:02am On Dec 27, 2017
4kings:

getOption("repos" ) is a command in R, so i don't quite understand you.

How did you try to load your dataset and can you also post the full error shown.

Re: Artificial Intelligence And Machine Learning Group by J0nyb0y(m): 10:59am On Dec 27, 2017
Guys can anyone help with materials on Knowledge Engineering... I think it's a branch of AI.

My project supervisor gave me as a project topic..:

Combating Security Challenges in Knowledge Engineering Products
Re: Artificial Intelligence And Machine Learning Group by 4kings: 8:28pm On Dec 27, 2017
@odizeey you have to install the required packages.
use:
install.packages('Rcpp')

Or using devtools directly:
devtools::install_github("tidyverse/readr" )
Re: Artificial Intelligence And Machine Learning Group by 4kings: 8:30pm On Dec 27, 2017
J0nyb0y:
Guys can anyone help with materials on Knowledge Engineering... I think it's a branch of AI.

My project supervisor gave me as a project topic..:

Combating Security Challenges in Knowledge Engineering Products
What security challenge specifically are you dealing with?
Re: Artificial Intelligence And Machine Learning Group by odizeey(m): 8:33pm On Dec 27, 2017
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.
Re: Artificial Intelligence And Machine Learning Group by 4kings: 8:35pm On Dec 27, 2017
odizeey:
thanks. I'm even thinking of using python, I want to download d anaconda file.
Okay.
What are you doing by the way?
Re: Artificial Intelligence And Machine Learning Group by odizeey(m): 9:07pm On Dec 27, 2017
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?
Re: Artificial Intelligence And Machine Learning Group by Samcent: 9:27pm On Dec 27, 2017
odizeey:
Please, I keep seeing error like this (getOption (repos)) when I want to load data set in Rstudio, what should I do please.
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.
Re: Artificial Intelligence And Machine Learning Group by Samcent: 9:36pm On Dec 27, 2017
odizeey:
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?
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.
Re: Artificial Intelligence And Machine Learning Group by odizeey(m): 9:45pm On Dec 27, 2017
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.
Re: Artificial Intelligence And Machine Learning Group by odizeey(m): 9:48pm On Dec 27, 2017
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.
Re: Artificial Intelligence And Machine Learning Group by Samcent: 10:17pm On Dec 27, 2017
odizeey:
yes its csv, how can I install d rio package.
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.
Re: Artificial Intelligence And Machine Learning Group by odizeey(m): 10:36pm On Dec 27, 2017
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.
Re: Artificial Intelligence And Machine Learning Group by 4kings: 10:55pm On Dec 27, 2017
odizeey:
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?
I have to know the dataset and what the task is to determine if it's classification, regression or what ever.
Classification deals with discrete data e.g Positive and Negative, while Regression deals with Continous data like predicting stock prices.

Goodluck with solution.
Re: Artificial Intelligence And Machine Learning Group by Samcent: 11:09pm On Dec 27, 2017
odizeey:
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.
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.
Re: Artificial Intelligence And Machine Learning Group by Samcent: 11:15pm On Dec 27, 2017
4kings:

I have to know the dataset and what the task is to determine if it's classification, regression or what ever.
Classification deals with discrete data e.g Positive and Negative, while Regression deals with Continous data like predicting stock prices.

Goodluck with solution.
Here is a link to the dataset: www.kaggle.com/kevinmh/fifa-18-more-complete-player-dataset
Re: Artificial Intelligence And Machine Learning Group by 4kings: 11:31pm On Dec 27, 2017
Samcent:
Here is a link to the dataset: www.kaggle.com/kevinmh/fifa-18-more-complete-player-dataset
Interesting, I can see that it's more of provision of dataset and the task to perform is determined by you.

Well there were several options for exploration in this referenced project. Now depending on what you choose to explore on the dataset cluster analysis might also come in handy, but for the most part, it's a classufication problem.

You can start with algorithms you're familiar with and do a cross-validation to see which performs better and if you can you could perform some ensemble learning.
Re: Artificial Intelligence And Machine Learning Group by Samcent: 11:41pm On Dec 27, 2017
4kings:

Interesting, I can see that it's more of provision of dataset and the task to perform is determined by you.

Well there were several options for exploration in this referenced project. Now depending on what you choose to explore on the dataset cluster analysis might also come in handy, but for the most part, it's a classufication problem.

You can start with algorithms you're familiar with and do a cross-validation to see which performs better and if you can you could perform some ensemble learning.
Well, am sorry I upset you. I was only trying to learn while helping. Thanks and have a blissful night rest.
Re: Artificial Intelligence And Machine Learning Group by 4kings: 11:43pm On Dec 27, 2017
Samcent:
Well, am sorry I upset you. I was only trying to learn while helping. Thanks and have a blissful night rest.
Huh?
I don't get, was this post meant for me?
Re: Artificial Intelligence And Machine Learning Group by SoftEng: 11:59pm On Dec 27, 2017
odizeey:
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?


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

2 Likes

Re: Artificial Intelligence And Machine Learning Group by SoftEng: 12:08am On Dec 28, 2017
4kings and Samcent
both of you have been excellent providing help to odizeey. well done.

Samcent, I'm not sure why you posted your last comment. So far, the discussions between 4kings and yourself have been good and constructive. No cause to upset anyone. Please keep the discussions rolling.

Thank you all.

1 Like

Re: Artificial Intelligence And Machine Learning Group by raymod170(m): 3:20am On Dec 28, 2017
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.

there are options available you can apply
1. Creation of a closed domain question answering system
2. Carry out an analysis to determine which player would be highly rated in the coming year since you have access to real data from sofifa.com
3. data visualization of each country, and teams this players play for as some players in a country football also play together in the same team
4. facial recognition of players by using ml algorithm to do so
5.creation of an ultimate team using this real time data to form a team based on ratings among other things
6. Create an algorithm that looks for or creates line of dichotomy between Messi and Ronaldo based on the data available
7. a knowledge based system AI inspired

and much more

but the ideas are unlimited and this is what am talking about using the available data to create things worth it

it's a start and I believe we would get there

thanks 4kings for showing us this website as I have found some interesting datasets which I would use to create some Airtficial intelligence projects starting with this FIFA dataset

best regards

1 Like 1 Share

Re: Artificial Intelligence And Machine Learning Group by raymod170(m): 3:23am On Dec 28, 2017
once again thanks to you all
Re: Artificial Intelligence And Machine Learning Group by odizeey(m): 7:40am On Dec 28, 2017
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.
Re: Artificial Intelligence And Machine Learning Group by odizeey(m): 7:42am On Dec 28, 2017
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.
Re: Artificial Intelligence And Machine Learning Group by Samcent: 7:52am On Dec 28, 2017
4kings:
Huh? I don't get, was this post meant for me?
Good morning broda. One Love!
Re: Artificial Intelligence And Machine Learning Group by Samcent: 8:00am On Dec 28, 2017
SoftEng:
4kings and Samcent
both of you have been excellent providing help to odizeey. well done.

Samcent, I'm not sure why you posted your last comment. So far, the discussions between 4kings and yourself have been good and constructive. No cause to upset anyone. Please keep the discussions rolling.

Thank you all.
Thanks boss, and also for your insight on how to approach the dataset. Have a blessed day.
Re: Artificial Intelligence And Machine Learning Group by Samcent: 8:01am On Dec 28, 2017
SoftEng:
4kings and Samcent
both of you have been excellent providing help to odizeey. well done.

Samcent, I'm not sure why you posted your last comment. So far, the discussions between 4kings and yourself have been good and constructive. No cause to upset anyone. Please keep the discussions rolling.

Thank you all.
Thanks boss, and also for your insight on the dataset. Have a blessed day.
Re: Artificial Intelligence And Machine Learning Group by Samcent: 8:03am On Dec 28, 2017
raymod170:


there are options available you can apply
1. Creation of a closed domain question answering system
2. Carry out an analysis to determine which player would be highly rated in the coming year since you have access to real data from sofifa.com
3. data visualization of each country, and teams this players play for as some players in a country football also play together in the same team
4. facial recognition of players by using ml algorithm to do so
5.creation of an ultimate team using this real time data to form a team based on ratings among other things
6. Create an algorithm that looks for or creates line of dichotomy between Messi and Ronaldo based on the data available
7. a knowledge based system AI inspired

and much more

but the ideas are unlimited and this is what am talking about using the available data to create things worth it

it's a start and I believe we would get there

thanks 4kings for showing us this website as I have found some interesting datasets which I would use to create some Airtficial intelligence projects starting with this FIFA dataset

best regards
Thanks for your contribution. Indeed a whole lot to do.
Re: Artificial Intelligence And Machine Learning Group by J0nyb0y(m): 9:10am On Dec 28, 2017
4kings:

What security challenge specifically are you dealing with?
None specifically, I guess I'll have to specify the various challenges and ways of Combating then in the course of the project work..

The issue am having is that i have researched online, didn't get much helpful materials. As I think the subject is not yet broad in Csc

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