Shafirafa_

~ Rara ~

[Shafirafa_ @faira_shafira]

@aklfreet Boleh dm aja

[Shafirafa_ @faira_shafira]

adakah yang ikut studi independen data scientist? khususnya RMDS narasio data

[Shafirafa_ @faira_shafira]

@intanmuhas Haloo boleh ya

[Shafirafa_ @faira_shafira]

@Shinismeee Bolee🙌🏻

[Shafirafa_ @faira_shafira]

@darahakukopi @thinkaboutze Boleh🙌🏻

[Shafirafa_ @faira_shafira]

@sa_n_hi Bolehh

[Shafirafa_ @faira_shafira]

@mipan_zulzulzul Oke kak

[Shafirafa_ @faira_shafira]

@jungwon_x_y @mipan_zulzulzul Okee

[Shafirafa_ @faira_shafira]

@mipan_zulzulzul Jadi, aku batch4 ya

[Shafirafa_ @faira_shafira]

@mipan_zulzulzul Boleh kak

[Shafirafa_ @faira_shafira]

@nzzlaf @piernafleur @collegemenfess Okaii

[Shafirafa_ @faira_shafira]

@nzzlaf @piernafleur @collegemenfess Boleh kak

[Shafirafa_ @faira_shafira]

web to learn test machine learning engineer? or a youtube channel? If anyone knows, please let me know

thank you🙌🏻

[Matt Dancho (Business Science) @mdancho84]

Forecasting time series is what made me stand out as a data scientist. But it took me 1 year to master ARIMA. In 1 minute, I'll teach you what took me 1 year. Let's go.

1. ARIMA and SARIMA are both statistical models used for forecasting time series data, where the goal is to predict future points in the series.

2. Business Uses: I got my start with ARIMA using it to predict sales demand (demand forecasting). But ARIMA and forecasting are also used heavily in econometrics, finance, retail, energy demand, and any situation where you need to know the future based on historical time series data.

3. ARIMA Decomposed: AR-I-MA stands for Autoregressive (AR), Integrated (I), Moving Average (MA).

4. Autoregressive (AR): This part of the model captures the relationship between an observation and a specified number of lagged observations.

5. Integrated (I): This involves differencing the time series data to make it stationary. A stationary time series is one whose properties do not depend on the time at which the series is observed, meaning it doesn't have trends or seasonal patterns.

6. Moving Average (MA): This part of the model allows the modeling of the error term as a linear combination of error terms occurring contemporaneously and at various times in the past.

7. Lowercase pdq notation: A non-seasonal ARIMA model is denoted as ARIMA(p, d, q) where: p is the number of lag observations in the model (AR part). d is the degree of differencing required to make the time series stationary. q is the size of the moving average window (MA part).

8. Linear Regression: The ARIMA is simply a Linear Regression model that includes the autoregressive (AR) components and the "moving average" (MA) aka the error terms.

9. SARIMA: Seasonal Autoregressive Integrated Moving-Average extends ARIMA by supporting Seasonal component(s).

10. PDQ-M Notation: Uppercase PDQ defines the orders, which are multiplied by M, the seasonal period (e.g. 4 for quarterly or 12 for monthly).

===

I’d like to help you improve your data science skills (and complete projects 10X faster).

I put together a free on-demand workshop that covers the 10 skills that helped me make the transition to Data Scientist: https://t.co/LR39RJ5XKB

And if you'd like to speed it up, I have a live workshop where I'll share how to use ChatGPT for Data Science (so you can complete projects 10X faster): https://t.co/EaMpKrJiqX

P.S. If you want to learn high-performance time series forecasting, then look no further than my course: https://t.co/O40JbCkPh1

If you like this post, please reshare ♻️ it so others can get value.

[There's An AI For That @theresanaiforit]

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{ Thread 🧵 }

[Sen Alpethir || CF A29-30 @sen_alpethir]

Bung Hatta kepada Anies

Sebuah komik kecil

(1/4)

[Ainun Najib @ainunnajib]

Bangun-bangun buka WA messagenya begini 🤯

Animo masyarakat tinggi sekali atas @KawalPemilu_org dan mengakibatkan melambungnya ongkos cloud, sudah mau USD 4 ribu alias > Rp 60 juta 😭

Pasti perlu crowdfunding sih, tapi di saat yang sama tolong jangan upload dobel ya mubazir 🙏

[Isfa @isfhaani]

2019 gw pernah di offer untuk revamp entire app KPU untuk memodernisasi. Tapi sayangnya, setelah 70% development progress, agreement di putus sepihak, karena tiba-tiba tender dari ITB yang di approved.

Cont..

[King Purwa @BosPurwa]

Mak.. Dirty Vote baru 25% dari kenyataan yang ada, masih ringan dan masih sopan? 😱

[Abdullah Gymnastiar @aagym]

Imam Syafi'i pernah berkata:
Saat kamu menyampaikan kebenaran, maka kamu akan menemukan dua reaksi yang berbeda
Orang cerdas akan merenung, orang bodoh akan tersinggung