Tag: machine learning

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I am going through the

kaggle data visualization course. So far I have learned to make line plots, bar pots and heatmaps. One problem I had is that because I have the dark theme on the kaggle kernel is that I could not see the numbers on the side of the bar plot.

I could not figure out what to do. I looked in the documentation to the matplotlib and found that I could use the facecolor parameter to the figure function to change the color around the side of the bar plot.

Making bar plots, lime plots and heat maps is not as heard as I thought they would be. At least making simple ones is not as hard as I thought they would be. All I need to remember is plt.title for the time of the plot. Then there is plt.figure with which I can set the side of the plot. And then there is of course sns.lineplot, and sns.barplot, sns.heatmap. to make the plots and heatmap.

Data visualization is fun.

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What I am up to

I am trying to work my way though Microsoft’s web development for beginners. One thing I learned about from the accessibility lesson was to think about how screen readers might read my web page.

Another thing I am working my way though is 130 machine learning projects solved and explained. i am on the time series project right now. I don’t know how many projects I will be able to get through but, I will try to get through them all. Its fun following along with the projects even though I have trouble getting some of the code to work. The version of anaconda I use to follow along with the projects is not the newest version. So I figure that is why some code does not work for me. Machine learning is fun.

I found the microsoft web development course in Front end focus newsletter. I learned about 130 machine learning projects solved and explained from Data elixir newsletter which I learned about from Data School.

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In addition to working

Thorough the intermediate machine learning tutorial on kaggle I am now working through the pandas course.

The pandas course is fun so far. I have learned what a DateFrame is. Its a table. Instead of having the rows be names 0,1 ect I can put any values I want for the rows by using index.

And I also learned that a pandas set is like a row of a DataFrame. And I learned that the s is Set is capitalized.

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I have know about

arxiv.org for awhile and yesterday I thought why not get some machine learning papers from arxiv and read them. I have gotten math papers from arxiv but, I never thought about getting machine learning or security papers from there. Seems interesting.

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I was able to make it through

kaggle’s machine learning course. Its still hard for me to remember what I am supposed to be doing to get a prediction. I will have to keep trying. I have got to walk before I can run. Just because I have trouble remember what to do know does not mean I will have trouble remembering how to get a prediction a year from now.

It was exciting to get to submit a prediction to a kaggle contest. At the end of the machine learning course I got to submit my results to a kaggle contest. I had no idea that the machine learning model I had been working on in the course would be submitted to a kaggle contest.

I got an error when I tried to submit my notebook to the contest but, I checked and it had actually submitted to the contest. So after 3 years of being on kaggle I have finally submitted something to a contest. Very cool.

Then I started going through the intermediate machine learning tutorial. One course down the rest of them to go. Since I hope to go through all of the kaggle courses.

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I want to learn more

about genetic programming. I downloaded a free book about it. But, I only read a few pages and then went on to other things. I think genetic programming allows a program to evolve on its own without the intervention of the programmer. I don’t know when I will get to learning about genetic programming.

I don’t know if genetic programming is the same thing as machine learning or if its a branch of machine learning. All I know is that I want ot learn more about genetic programming.

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Machine learning I don’t know much about it

I want to know more about it. I have read machine learning for dummies twice. And you I have not done anything with machine learning.

It must be that I tell myself OatmealBreakfast someday you will get to it. Someday you will make that neural network that you want to make. Someday. To be honest I don’t know if that day will ever arrive.

I do know that I want to use pharo and python for machine learning. And I do want to make a neural network that writes songs. So that I don’t have to write songs. Ha.

I don’t know if I will be able t make a neural network. I do want to try. I might also want to try R. The list of new things I want to try never ends.

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One thing I want to learn is

machine learning with python or pharo, or javascript, or java. I thought it would be fun to have the computer come up with the lyrics to my songs or even the notes to my songs.

I have not done much machine learning programming yet and I may never. It is one thing I want to do with programming though. It seems so fun. I don’t know if am capable of doing it though. I hope I am. Wish me luck. Or don’t. It does not matter to me.

I want to used Kaggle to learn and program machine learning programs and enter competitions. I leaned about the website from machine learning for dummies.

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