Brayo Chainz

hustler nation

[Brayo Chainz @ChainzBrayo]

@TrajanKing *_ASSIGNMENT&EXAM HELP_*
Hello, are you having a busy schedule such that you find it difficult to do your assignments?Worry no more. I am here for you.100% UNIQUE CONTENT (ZERO PLAGIARIZED WORK)
I HANDLE
✓Content Writing
✓Term Paper
✓Quiz
✓Essay
✓Thesis
etc [phone]

[cheruiyotkb @cheruiyotkb]

Every single Sh 1 you invest into fixed deposit or MMF accounts, stock market, treasury bills, bonds or SACCO deposits - gives your employer a little less power over you.

The goal is to build passive income streams that will eventually replace your salary.

Keep pushing.

[Prince Fynn @Prince_Fynnd]

PREPARATION.

Get 2 bananas, half cucumber, 2 garlic and yogurt/Milk, blend all together.

Benefits 👇

[MethoDman @polo_kimanii]

What motivated me to buy my own car is the expiriemce i had with zile matatu za industrial area,yani Gari ni mzee mpaka ilibidi nimeuliza conductor kimoyomoyo kwani hii gari mnawekanga petrol ama uji ya wimbi buana,nikaangalia dirisha nikaona wameeka sticker imeandikwa “Ata nyanya yako alikua dem”nikajua hapa nikiongea naweza pata laana ,gari ilikua mzee mpaka pilot akichange gear unaskia engine nikama inapiga binja ikilia juu ya maumivu,my blood pressure rose to 310 like dr kanyares seeds when the door of the old matatulocked itself and refused to open buana,Ni bahati tulikua wazee juu tulitokea kwa dirisha ungedhani tunact ile movie ya Ruto must be crazy volume 2,wiki haikuisha nikaendea subaru Mombasa

[cheruiyotkb @cheruiyotkb]

How to build a low-risk portfolio on Sh 70K net salary:

As usual, we insist on 20% allocation to savings and investments, that's Sh 14,000.

~Put 9000 in an MMF
~Put 5000 in a SACCO BOSA

End of year 1:
MMF = 120,960 net average 12%
SACCO = 67,200 net average 12%
Total = 188,160

Move Sh 100,000 from MMF to T-bonds.

End of year 2:
MMF = 144,435
SACCO = 142,464
T-bond = 100,000 excluding 16,000 interests (transfer to MMF)
*New MMF balance: 160,435

Total portfolio value: 402,899

If you had merely saved 14,000 monthly for 2 years = 336,000

+66,899 from just setting up, automating contributions, and living your life.

What about year 3, 4, or 5? 🤯

[Akshay 🚀 @akshay_pachaar]

Eigenvalues & Eigenvectors clearly explained:

[Wachira. @Thee_mavERIC]

Four day weekend followed by a 4 day week, Mungu bariki wengine sasa 🥰

[MATT GRAY @matt_gray_]

Here are 5 laws of the Universe that are surprisingly accurate:

1. Murphy’s law.

Anything that can go wrong, will go wrong.

2. Kidlin’s law.

When you write down a problem clearly, the matter is half solved.

3. Falkland law.

When there is no need to make a decision, don’t make a decision.

4. Wilson’s law.

Prioritize knowledge and learning, and money will continue to flow.

5. Gilbert’s law.

It’s always your responsibility to find the best way to achieve the desired result.

[Matt Dancho (Business Science) @mdancho84]

Trading is an unfair game. We have machine learning and algorithms. But Hedge funds and the Wall Street elite have an edge:

Better tools,
more information,
automated execution.

That ends tomorrow. 🧵

Tomorrow, Jason Strimpel and I will reveal Omega during our live algorithmic training and course launch event. Here's a taste of Jason's proprietary Omega Hedge fund in a box demo:

1. Omega is a hedge fund in a box.

Omega solves the toughest problem "the last mile". In data science, this is the equivalent of the ML Ops part. Omega is how you take your algorithmic trading strategy into production.

2. Omega makes execution easy.

Need to execute 100 orders? No problem.

Need to log trades in your trade log SQL database? No problem.

Need to watch your live portfolio and manage risk? No problem.

3. Omega is designed for data scientists and coders.

It's built in Python. And if you're a data scientist who wants to trade with algorithms, then you're going to feel right at home with Omega.

If you want to see Jason and I share what we've been working on for 12 months (and see the app that Jason poured 1000+ hours of development into)...

👉 Then register here (seats are limited): https://t.co/q8XAqpjX9O

[Matt Dancho (Business Science) @mdancho84]

Understanding P-Values is essential for improving regression models. In 2 minutes, learn what took me 2 years to figure out.

1. The p-value: A p-value, in statistics, is a measure used to assess the strength of the evidence against a null hypothesis.

2. Null Hypothesis (H0): This is a general statement or default position that there is no relationship between two measured phenomena or no association among groups. For example, the regressor does not affect the outcome.

3. Alternative Hypothesis (H1): This is what you want to test for. It is often the opposite of the null hypothesis. For example, that the regressor does affect the outcome.

4. Calculating the p-value: The p-value for each coefficient is typically calculated using the t-test. There are several steps involved. Let's break them down.

5. Coefficient Estimate: In a regression model, you have estimates of coefficients (β) for each predictor. These coefficients represent the change in the dependent variable for a one-unit change in the predictor, holding all other predictors constant.

6. Standard Error of the Coefficient: The standard error (SE) measures the accuracy with which a sample represents a population. In regression, the SE of a coefficient estimate indicates how much variability there is in the estimate of the coefficient.

7. Test Statistic (T): The test statistic for each coefficient in a regression model is calculated by dividing the Coefficient Estimate / Standard Error of the Coefficient. This gives you a t-value.

8. Degrees of Freedom: The degrees of freedom (df) for this test are usually calculated as the number of observations minus the number of parameters being estimated (including the intercept).

9. P-Value Calculation: The p-value is then determined by comparing the calculated t-value to the t-distribution with the appropriate degrees of freedom. The area under the t-distribution curve, beyond the calculated t-value, gives the p-value.

10. Interpretation: A small p-value (usually ≤ 0.05) indicates that it is unlikely to observe such a data pattern if the null hypothesis were true, suggesting that the predictor is a significant contributor to the model.

===

Need help applying data science to business?

I'd like to help. Here's how:

👉 My Free 10 Skills Webinar: 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

👉 Learn ChatGPT for 10X Faster DS Projects: 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

If you like this post, please reshare ♻️ it so others can get value (follow me, 🔥 Matt Dancho 🔥 for more data science concepts).

[Brayo Chainz @ChainzBrayo]

@passion_KE Godfather of Harlem

[MethoDman @polo_kimanii]

God was on to something when he said his people perish because of ignorance,Tukiwa ocha class 2 kuna jamaa huitwa saimo Ilituambia If we want to circimcise ourselves tunaweka latex kwa Bolingo,Latex is the white milky Liquid produced by trees as a defense mechanism,Lemme tell you maina,kanyunyui ilifura ikatoshana zile japanesse Grenades zinakaanga rolling stick,ilifika mahali my grandmother akaenda soko akaninunulia skirt,Choo nilikua napelekwa Na wheelbarrow,We were three boys,3months later after kupona sisi ndio tulikua prayer item mpaka Deacon akaitwa atupake mafuta

[Brayo Chainz @ChainzBrayo]

@polo_kimanii 😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😭😭

[Brayo Chainz @ChainzBrayo]

@Kotgenerali Nipige support -0741613564

[Makanika🇰🇪🇬🇧♐ @Kotgenerali]

How much is your lunch?

[Brayo Chainz @ChainzBrayo]

@Kotgenerali 100 bob mkuu

[HOW THINGS WORK @HowThingsWork_]

Fear of Heights. I'm sure a lot of people can relate to this feeling. 😰🧗‍♀️

Would you attempt this?

[George T. Diano @georgediano]

Umetulia na bibi mnawatch njoro wa Uba then unaskia mboch kwa dinning ameshout "Beb,,, ooh sorry, baba Liam gas imeisha". Waaaaaaaaaaaaaiiii mailood, William Ruto will finish us all. Armed with a kitchen knife, unaskia mama Liam amepiga nduru za kuaminika "Aaaauwiii, tebu rudia tena chenye umesema Brenda, nikama sijakuskia vizuri". Homicide was never this rampant during Uhuru's regime, ayaam telling you by the time Ruto is vacating office, wedding gowns will be at the museums as an archive.