Project SPARTA PH's SP901: Data Science and Machine Learning Using Python | 2.7.1 Supervised Machine Learning

Did you know that SP901 was released before SP202, introducing me to the world of Python programming? My first experience with this computer language left me feeling like a fish out of water, struggling to communicate with the machine, and the machine with me. (Ganti-ganti lang! Haha) 

The journey into Python was demanding, somewhat painful, and at times, I found myself questioning why I was putting myself through it. But without further ado, let me share with you the snapshots of the weekly assignments for this course.

I made it in jpg form for you to type in your own Jupyter Notebook, by taking the time to type out our code in our Jupyter Notebook, we're not just copying and pasting; we're building a deeper knowledge of Python and the exciting world of supervised machine learning.

2.7.1 Supervised Machine Learning

Guidelines:

Using the the Breast Cancer dataset, perform the following techniques for binary classification:

- Logistics Regression

- RF

- SVM

For Improvement: Utilize graphs and charts to provide a more comprehensive models than relying only on the accuracy of trainings and tests. 

Oras na ba talaga ni Kuya?

We have been aware of Kuya Laleng's condition since November 2018. We are aware na nakapila na sya for operation but due to COVID na-halt ang mga operation sa heart center (if I remember it right). And 2022 November may magandang balita ang kanyang may bahay na di na muna sya isasalang for operation. 

Magandang Balita

September 18, 2023, I am packing our luggages for our upcoming trip when I received a message from Ate Sol, sinugod sa hospital ang Kuya Laleng due to severe backpain. Immediately I video called Ate Sol. 8:38pm Kuya Laleng already asked for a pain reliever which is very unusual sa aming magkakapatid. We have high tolerance of pain. So alam na namin na talagang nasasaktan sya.

We called Ate Abigail, as always, our prayer warriors. Asking for prayers. Ate Abigail and Nika hanged up 2AM and 2:34AM of September 19 I received a message from Ate Sol “Wala na si Kuya”. 

I am shocked. No tears left my eyes. 11:47AM I called Hannah(bunso nila Kuya), wala akong nasabi, iyak lang ako ng iyak. Parang gripo yung mata kong walang tigil ang tulo ng luha. May tanong ako, “Bakit ang unfair naman po? 17 lang si Hannah. 17 years is not enough to spend time with her father.” 

Then nasundan yun ng iba pang mga questions…

• If we extended our family fasting ay madadagdagan ba ang buhay ni Kuya?
• If we continuously pray and pleaded for his condition na pagalingin syang tuluyan ay mapapagbigyan ba kami? 
• Kung nagkaron ba siya ng sapat na pahinga at sumunod sa bawal ng doctor ay magkakita pa ba kami? 
• If he didn’t push his Cebu trip okay pa kaya siya? 
• Talaga bang hanggang dun na lang si Kuya?

September 20, sa eroplano palang nagpipigil na ako umiyak. I arrived at the wake. I can’t fathom why my reaction is to cry… no wailed! I wailed. It seems unreal. Unacceptable. I let my repressed grief flow. But then my composed father hugged me and sabi nya “Wala na tayong magagawa”. 

Lalong masakit pero kailangan ko tumigil umiyak. Tama wala na kaming magagawa pero the question na bakit ang aga mawala ni Kuya still lingers. 

Pero... ang hatol NIYA ay matuwid. Sino ako para magtanong? 

Ngayon, pare-parehas kaming kailangan mag-move on magkakapatid. Lagi kong inaalala ang sabi ni Ate Sol at Kuya Ric, wala ng sakit, wala ng pagod, wala ng problema si Kuya Laleng. On that, ok na ako. Mas okay na siya dun. Mas maginhawa si Kuya dun. 

Don’t worry Kuya Laleng, ipagpapatuloy ko pang-aasar kila Kuya Ric and Ate Sol! Para may spice ang buhay namin dito. I will move on with your memories ng pagpalo mo sa akin at paglinis ng mga langib sa sugat ko. Huhuhu!

Our Last Family Photo (w/o Nanay) 

Learn From My Mistakes: SP401: Dashboard and Drill Down Analytics

This course is all about unlocking the true value of data, which is super important for us data analysts. In this course, it discussed KPI’s, metrics and we'll learn how to draw meaningful insights that can make a real difference in any company. 

Now, I want to share my very first dashboard with you! As I started my journey of upskilling, I must admit, I learned a lot from my experiences. Looking back, I can now critique my own work, and it's kinda funny too. Haha! 

Learn From My Mistakes: SP401: Dashboard and Drill Down Analytics

Here are three important lessons I learned from my first dashboard: 

1. Research on Color Palettes: I realized that choosing the right colors for the dashboard is crucial to make it visually appealing and easy to understand. 

2. Tell a Story with KPIs: Instead of just showing raw numbers, I should focus on identifying related KPIs that can help me craft a compelling story or insight. That way, my data presentations will be more engaging and impactful. 

3. Embrace Different Charts: I could have done it better if I learned about different charts, it's usage and explanation it is portraying. 

As I recall, I didn't use any pivot table/chart in this dashboard. Even though I didn't use those in my very first dashboard, it was still a great starting point for me. I'm eager to enhance my skills and become more proficient in using various data visualization tools. 

Well, that is my first and I am glad I do start. This skill is an additional package of what I am now and I am grateful to SPARTA for giving out this kind of FREE education for all. 

If you want a copy of my Excel dashboard, feel free to drop us a message on our Facebook Page. Keep learning and enjoy your data analytics journey! Happy Learning!