Tools for Data Science

In this article, I am just documenting my journey of learning Data Science. Currently, I have completed Course 2 of the IBM Data Science Professional Certificate titled “Tools for Data Science”

I have currently two digital badges from IBM to flaunt on this Digital Universe

The link to the Badges is:

  1. Data Science Orientation

https://www.credly.com/badges/82b8daa6-9d94-4ea5-a7ed-1dcd78accc91

2. Tools for Data Science

https://www.credly.com/badges/e8119c02-2b2f-4fdd-852e-bab85cc64bfa

Now Coming to the main part of this article. The final takeaway of this course was the final assignment learned in week 4 of the course where we executed the learning of different Markdowns (i.e Fonts / Caligraphy in Coding). This has complied in a Jyupter Notebook made inside Waston Studio provided by IBM. I am sharing a link to my work as this would be the first-ever task I managed to pulled of in my Data Science journey. (I know I know in the future I will laugh that I shared a barely minimum sill level task but it is just the start of a big Marathon thus I thought the smaller achievements are worth a share)

The link to my work is :

https://eu-gb.dataplatform.cloud.ibm.com/analytics/notebooks/v2/86e5b12c-d95a-4038-9873-35835cafb4d8/view?access_token=486577407cc406a91d70ef53ec197f2ba50cb70e79295bbd588de37513a605c0

Hey I can also share my Completion certificate now, the link to my Certificate is :

https://coursera.org/share/27abd5146bfe79343b0fe0e678b289b8

Hopefully, more Certificates, as well as projects, would come in the future to flaunt my skills thus do sign up / follow /Subscribe or bookmark this website to get further updates posted as and when I learn new cool stuff.

Thanks

Tapish

Jupyter Notebooks on the Internet

Copy of Original Article by “Romeo Kienzler” in IBM Data Science Course

There are thousands of interesting jupyter notebooks available on the internet for you to learn from. One of the best sources is: https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks

It is important to notice that you can download such notebooks to your local computer or import them to a cloud based notebook tool so that you can rerun, modify and follow along what’s explained in the notebook.

Very often jupyter notebook are already shared in a rendered view. This means, that you can look at them as if they were running locally on you machine. But sometimes, folks only share a link to the jupyter file (which you can make out by the *.ipynb extention). In this case you can just grab the URL to that file and past it to the NB-Viewer => https://nbviewer.jupyter.org/

The list above gives you a very nice start with a huge collection of materials to explore. Therefore it’s maybe more useful to give you some pointers to interesting notebooks. As we have covered some toy examples with toy data in the labs, let me just point to some work which uses these data and goes further down the road of data science. In addition, as we’ve covered the different tasks in data science we’ll also provide an exemplar notebook for each of those.

First you start with exploratory data analysis, so this notebook is highly recommended to have a look at: https://nbviewer.jupyter.org/github/Tanu-N-Prabhu/Python/blob/master/Exploratory_data_Analysis.ipynb

For data integration / cleansing at a smaller scale, the python library pandas is often used. Please have a look at this notebook: https://towardsdatascience.com/data-cleaning-with-python-using-pandas-library-c6f4a68ea8eb

If you want to already experience what clustering is, have a look at this: https://nbviewer.jupyter.org/github/temporaer/tutorial_ml_gkbionics/blob/master/2%20-%20KMeans.ipynb

And finally, if you want to go for a more in-depth notebook on the iris dataset have a look here: https://www.kaggle.com/lalitharajesh/iris-dataset-exploratory-data-analysis

“I have just kept a copy of this page on my website as a personal note that this infomation is useful and I should read the individual links in my free time.” – Tapish Dongre

Creative Markdown Cheatsheet

While practicing work on Jupyter Notebooks there are many fancy ways to write a code markdown. Markdown are like Headings, Titles and Subtitles in a code which are not executed in while we run the programme. These Markdowns are only there to guide the reader of what the code is about or explain the code step by step or add hint or comments.

There is a cheat sheat to guide us through the variety of Markdown styles. I will provide the link to original post so that the credit goes to the content creator rather than just copy pasting the styles in this web page.

This link to the Markdown Sheet is: https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet

Hope to share more info about Data Science as and when I learn about it.

Regards

Tapish

Skills Vs Challenge

World used the television series How I Met Your Mother as an Comedy entertainment option to relax after a stressful day. But back in India, I used this as something a simulating model of how the behaviourial pattern would be if/when I would get a chance to visit or live in some other country. Back then it was a platform to learn about other cultures. Fast forward 10 years down the line, I actually got a chance to study and live in Australia. Though the series dose not exactly mimic actual life living in land outside India, but it was like a starter/refreshment course for us to actually understand a little bit of western culture, their problems, way of thinking and what can or cannot be done in a day to day life.

In the same series a character named “Barney Stinson” played by Neil Patrick Harris used a graph called “Hot vs Crazy” to define or explalin in general that a person can tollerate as much as crazyness of girl/woman as much Hot she is. Definatly I am not trying to justify any objectification of any gender as the graph was used only for a comic purpose which in their fictional world made some sense. Comming back to reality, I found another graph which relate to Challenge vs Skills origally observed in “Finding Flow by Mihaly Csikszentmihalyi”

Finding Flow by Mihaly Csikszentmihalyi

This Graph I can actually realte to while I am studing Data Science or Working on any Project.

For a simple task like washing utensils, the skil level is low, and the challege is low, so I sometimes get into wonderland in my own mind.

Where as Studing Diffrential Calculus where I have less skill and being a highly challenging task for me gives me Anxiey and I try to quit or find excuses to postponed the task.

Current target is not directly aim for flow, but to at least be in the Relaxation or Control zone while gaining more knowledge.

Please do wrte in comment section below what state of mind you are while currenlty doing any task in your current life stage. Hopefully we can share strategies to overcome our hurdles with collective information and experience.

Best regards

Tapish

Piracy _ Hacking _ Technology Transfer

While few year ago I wrote an article about Piracy in Biotechnology, or its lack of, making the spread of technology very slow in Indian Biotech Industry. People either going with high moral values and givng all those newly discoverd things for free (or) being crazy for fame and money, registering patent after patent. Both sides of the sea, the main idea is to progress. In time the force derives by public demand, ease of use and most important “funds” for any project to be viable.

Today based on the same idea I found a video which is like 8 years old relative to the time I am writing this post. Discussess how cost-effective technolgy hacking can really be useful and more than the video, if you can go and check the comments section of the video where only the idea of some research and its use have done an positive impact on people around the globe. I will screen short and paste one such comment which I personnaly liked along with the video link:

Change using Wii Remote Hack

Actual Video Link

Gallery of Interesting Jupyter Notebooks

While studing IBM Data Science, which I voluntary signed up for I found this intresting link of all the self learning stuff we can do at Juniper Notebooks tutorials.

Thus thought to paste the link here in case I forget to add it to my github account.

(Self note: Learn how to delete a repository on github)

So the link is

https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks#introductory-tutorials

Hope to find more resources in future and share with the world.

Thanks

Regards

Tapish

Completed “Push-UP Challenge” to support Mental Health Awareness

The year 2021 looks like the year of achievements. Though financially I am dried up, but in other realms, I am super active. One such thing I participated in was in June 2021 for the first 25 days. The target was given a big number Three Three One Eight, representing the number of people who committed suicide in the year 2019.

My first response was that is impossible. I had preconceived views of some of the past Australian channels reporting that “if they did the 3318 pushups even spread throughout the month, they would gain good muscles and a fit body.” But actually accepting a challenge and then performing it would be a tough job for them as well.

I thought let us try it anyway. What’s there to lose anyway. (except the 100 kg weight I have gained all over the past 6 years 😛 )

So I registered, download the app, and started from Day 1 (1st June 2021).

The app and website were synchronized that whatever I actually performed and reported on the app was well reflected on the website as well. Link https://www.thepushupchallenge.com.au/pushuperer/177159

Then there was a fundraiser. Being cash poor, I was not able to contribute myself but along with that being concerned for the many International communities I was in contact with who were struggling in Covid last year, it did not seem fair for me to even ask for any money. Thus the fundraiser part of the challenge was a big No-No for me.

Still, somehow I wanted to contribute to the challenge. It was either a guilt trap or actual concern, that I thought I could at least contribute towards the awareness part of the whole challenge initiative.

So I took my camera, learned more about OBS studio, and started recording the already available daily mental health facts which were released on daily basis throughout the challenge days. My target there was if I was able to translate the given text from English to Hindi, that would be a good use of my skills as well as even the Hindi-speaking audience would be able to be aware of what is going on Push-Up challenge.
Link to videos: https://youtu.be/Xo8D2WNuGSc

So day after day the videos were being posted and that encouraged me to keep continuing to do the push-up as well.

During the challenge, I learned so many new terms, actions, and numbers representing the local and national relations with stress, depression, and suicidality.

So finally today I got my certificate of completion and thought to do a little show-off post it here.

#PushForBetter

Overall I would like to say 3318 is a relatively big number, both for doing the push-up as well as the number of the actual human being losing their lives due to various reasons related to mental health. I wish this number is reduced in the coming years and a better mental health support system is built not only in Australia but throughout the world.

Signing off for now and keen for the next challenge in life, this time probably a 42.19 km marathon next year.

Kind Regards

Tapish

How to Watch Indian Series outside India

When in India we get addicted to so many TV shows and movies that have limited distribution in India itself. Thus watching the same outside India even from a paid source sometime is a difficult task.

Thus I am writing few ways to watch the series as long as these methods are still active.

Watching/Using these sources may/may not be “leagal” depeding on the laws of the country you are watching in. Thus it will be your “Moral” responsiblity to use/not to use this information freely available on Internet.

  1. Pika Show: Pikashow is an adroid app where most TV sereis are availabe for free. The app keeps upgrading its links thus a simple google search will get you the app. This app is not availabe on Playstore and thus you have to google the link to download and install it in your mobile. ( https://www.apkmart.net/app/pikashow-apk-v10-5-5-1/ )
  2. Thop TV: Thop TV is another application like PikaShow with more collection of the same Indian series along with many Hind Dubbed Movies as well. ( https://thopapk.com/ )
  3. Apne TV: Apne Tv is a video streaming website. There has been multiple fake apne tv website too, so simple way to check is by following this golden rule : The apne tv is free…and thus who so ever website ask you for money are the fake website. Apne TV is free Their latest url is ( https://starapne.co/ )
  4. Movierulz: It has Hindi/English/Tamil & Telgu movies streaming links as well as torrent links they keep changing their url. Their latest url is ( https://4movierulz.mu/ )
  5. WorldFree4u: Its another movies/series/software sharing website. But the catch is you have to downlad the content instead of streaming it most of the time. ( https://worldfree4u.pink/ )