BC MACHINE LEARNING
Saved by @Mollyycolllinss

Which libraries do you really need to get started with Machine Learning and why?

🧵👇

 First and foremost, make sure that you have nailed the fundamental concepts of Python because machine learning requires a lot of programming!

(2 / 19)
If you know these topics, then you are good to go with machine learning in Python

- Object-oriented programming in Python:Classes,Objects,Methods
- Lists & List functions
- List comprehension
- List slicing
- String formatting
- List,Dictionaries & Tuples

(3 / 19)
Now, let's understand what popular python machine learning libraries do.

We will talk about👇
- TensorFlow (+ Keras)
- PyTorch
- Pandas
- Numpy
- Matplotlib
- SciKit Learn
- Seaborn

(4 / 19)
Now let's cover the libraries that you have to learn (at least the basics) for machine learning

1. Pandas

Pandas is a python library that allows you to store and read data from spreadsheets ( .csv, .xlsv files ) in structures called Dataframes.

(5 / 19)
Dataframes allow you to work with data present in a spreadsheet.

Pandas help you make the data frame itself.

(6 / 19)
2. Numpy

Numpy allows you to manipulate the data. It replaces python lists and does the same things, like list slicing for example. However numpy lists are much faster to execute than the default python lists.

(7 / 19)
3. Matplotlib

Matplotlib is a library for plotting data into pie charts, bar charts, and whatever kinds of graphs you can imagine.

(8 / 19)
There is another library based on Matplotlib which is called Seaborn.

Seaborn is based on Matplotlib and allows you to visualize data with support for themes (as in color schemes like VS code themes) and more visualization options.

(9 / 19)
It is definitely not mandatory to learn Seaborn at the beginning of your machine learning journey.

Use it when you need to.

(10 / 19)
Why is it important to learn these libraries?

In machine learning, you will have to work with a lot of messy data! A lot!
These libraries are essential for you so that you can manipulate and analyze data.

(11 / 19)
You must always remember that data largely dictates how well your machine learning model will perform.

Do not ignore data analysis and cleaning.

It is even more important than neural network!

(12 / 19)
Now we are left with TensorFlow, PyTorch, and Scikit Learn.

Let's talk about them.

(13 / 19)
TensorFlow allows you to make neural networks, anything from computer vision to natural language processing, TensorFlow will help you out. Keras allows you to make machine learning models and is heavily integrated with Tensorflow v2 (the latest version of TensorFlow).

(14 / 19)
- PyTorch does the same things as TensorFlow in a different syntax.

- Both PyTorch and TensorFlow are equally amazing libraries.

(15 / 19)
SciKit Learn

Scikit learn does a lot of things, from regression to classification, you name it.
It is a great tool to have when working on machine learning.

(16 / 19)
Let's summarize.

Step 1: Learn Python well.
Step 2: Learn the basics of Numpy, Pandas, and matplotlib.
Step 3: Learn either PyTorch or TensorFlow or SciKit learn at the start.

(17 / 19)
Step 4: Do a project from Kaggle where you can use these tools. (Pro-tip, look at notebooks and solutions from other people, this will help you in understanding how experienced people tackle certain problems)

(18 / 19)
The best tutorials to learn these would be from the freecodecamp YouTube channel, simply search for `framework name` freecodecamp.

They have some of the best machine learning tutorials out there.

(19 / 19)

More from Pratham Prasoon

Pratham Prasoon
Pratham Prasoon
@PrasoonPratham
Here's everything you need to know about the math for machine learning.

(+ free resources )
🧵👇

Before diving into the math, I suggest first having solid programming skills.

For example👇

(2 / 18)

In Python, these are the concepts which you must know:

- Object oriented programming in Python : Classes, Objects, Methods
- List slicing
- String formatting
- Dictionaries & Tuples
- Basic terminal commands
- Exception handling

(3 / 18)

If you want to learn those concepts for python, these courses are freecodecamp could be of help to you.

🔗Basics:youtube∙com/watch?v=rfscVS0vtbw
🔗Intermediate :youtube∙com/watch?v=HGOBQPFzWKo

(4 / 18)


👉You need to have really strong fundamentals in programming, because machine learning involves a lot of it.

It is 100% compulsory.

(5 / 18)
MACHINE LEARNING
Pratham
Pratham
@PrasoonPratham
Everyone tells you how important math is in machine learning.

But I believe that if you want to learn machine learning today, there are things more important than math which very few people will tell you about.

Here are 5 of them.

🧵 👇🏻

The field of machine learning has been very academic which is why there is so much emphasis on learning math for it.

But, today with the frameworks that we have, not knowing how to multiply matrices is far less of an issue than knowing how to use the tools in this list 👇🏻

Yes, I know; you have R, Julia, and whatnot for machine learning but as of today, Python is the industry standard.

Get your data structures and algorithms right in Python because you will need them, here are some concepts worth learning 👇🏻


Let's say you're building the next big GPT-3 powered app that's going to take over the world.

You add a new feature to your app but it breaks the entire thing, what do you do now?

Learn Git, the ultimate version control tool.

I use this cheat sheet for all my git needs 👇🏻


You will be constantly be working on multiple packages which specific python version requirements 🐍

Virtual environments like Anaconda or Poetry will make this process much easier for you.

Who likes to see broken dependencies while running code?
ALL
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Pratham
Pratham
@PrasoonPratham
This is a beginner's guide on mining cryptocurrencies.

🧵 👇🏻


Mining 101

Typically, when you transfer money using a service like Paypal, they take a small cut for facilitating the exchange.

In cryptocurrencies, people like you and me act as Paypal and facilitate exchanges of cryptocurrency. We get a cut for this just like Paypal did.

In order to make these transactions happen, our computers need to do some calculations which requires a lot of computational power.

A GPU or a Graphics Processing Unit which is typically marketed for gaming workloads can be used to mine cryptocurrencies.

Why do you need a GPU?

Today, there are so many miners that the "difficulty" of mining cryptocurrencies has skyrocketed, which basically means it takes a lot of computational power to mine crypto which GPUs can provide and CPUs cannot.

(❗ This is an oversimplification)

If you are interested in the inner workings of how blockchain and cryptocurrency, then I highly suggest that you read this thread by @oliverjumpertz
CRYPTOCURRENCIES GUIDE
Pratham Prasoon
Pratham Prasoon
@PrasoonPratham
This is how I got three job offers as a 16-year-old high school student.

( and why I rejected them )
🧵👇

June 2020.

I receive a DM from a college student in California. The message read something like this "Hey Pratham, I am one of the co-founders of XYZ Inc, a robotics company, we are looking to add enthusiastic people to our team, would you be interested?"

(2 / 11)

It was the first time I had ever been offered a job, so I said Yes! (I did reject it later)

There were a couple of interview rounds I had to go through. None of them included technical questions, which was interesting.

(3 / 11)

After the first interview, I saw the list of the roles I could apply for. I realized how little I knew, terms like "Ui/UX, ROS(Robot operating system)", at that time, I was overwhelmed.

(4 / 11)

I knew that this wasn't a job for me. I decided that I would reject this job role even if I cleared the second round, which I ended up doing.

(5 / 11)
LIFE
Pratham
Pratham
@PrasoonPratham
A list of my favourite tutorials for learning Python as a beginner.

🧵 👇🏻

All the tutorials below include the basics like installation, variables etc.

I've also listed out the key highlights of each tutorial so that it is easy for you decide which one to pick.

Before going through these tutorials I would highly suggest you to go through this thread if you are a complete


The Full Python Course from learn with Python with Rune

key highlights
- 17 part course
- Jupyter notebooks
- Free eBook included

Duration: 8

The Python Beginner's course on FreeCodeCamp's YouTube Channel.

Key highlights

- Building a casic calculator
- Mad Libs Game
- Slightly advanced concepts like inheritance, Classes etc.

Duration: 4
ALL

More from Machine learning

Pratham Prasoon
Pratham Prasoon
@PrasoonPratham
Everything you need to know about the math for machine learning as a beginner.

🧵👇

Before diving into the math, I suggest first having solid programming skills.

For example👇

(2 / 17)

In Python, these are the concepts which you must know:

- Object oriented programming in Python : Classes, Objects, Methods
- List slicing
- String formatting
- Dictionaries & Tuples
- Basic terminal commands
- Exception handling

(3 / 17)

If you want to learn python, these courses are freecodecamp could be of help to you.

🔗Basics: youtube .com/watch?v=rfscVS0vtbw
🔗Intermediate :youtube .com/watch?v=HGOBQPFzWKo

(4 / 17)


You need to have really strong fundamentals in programming, because machine learning involves a lot of it.

It is 100% compulsory.

(5 / 17)
MACHINE LEARNING
Madison Kanna
Madison Kanna
@Madisonkanna
With hard work and determination, anyone can learn to code.

Here’s a list of my favorites resources if you’re learning to code in 2021.

👇

1. freeCodeCamp.

I’d suggest picking one of the projects in the curriculum to tackle and then completing the lessons on syntax when you get stuck. This way you know *why* you’re learning what you’re learning, and you're building things

2. https://t.co/7XC50GlIaa is a hidden gem. Things I love about it:

1) You can see the most upvoted solutions so you can read really good code

2) You can ask questions in the discussion section if you're stuck, and people often answer. Free

3. https://t.co/V9gcXqqLN6 and https://t.co/KbEYGL21iE

On stackoverflow you can find answers to almost every problem you encounter. On GitHub you can read so much great code. You can build so much just from using these two resources and a blank text editor.

4. https://t.co/xX2J00fSrT @eggheadio specifically for frontend dev.

Their tutorials are designed to maximize your time, so you never feel overwhelmed by a 14-hour course. Also, the amount of prep they put into making great courses is unlike any other online course I've seen.
MACHINE LEARNING
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Ram Bhupatiraju
Ram Bhupatiraju
@RamBhupatiraju
Happy 2⃣0⃣2⃣1⃣ to all.🎇

For any Learning machines out there, here are a list of my fav online investing resources. Feel free to add yours.

Let's dive in.
⬇️⬇️⬇️

Investing Services

✔️ @themotleyfool - @TMFStockAdvisor & @TMFRuleBreakers services

✔️ @7investing

✔️ @investing_city
https://t.co/9aUK1Tclw4

✔️ @MorningstarInc Premium

✔️ @SeekingAlpha Marketplaces (Check your area of interest, Free trials, Quality, track record...)

General Finance/Investing

✔️ @morganhousel
https://t.co/f1joTRaG55

✔️ @dollarsanddata
https://t.co/Mj1owkzRc8

✔️ @awealthofcs
https://t.co/y81KHfh8cn

✔️ @iancassel
https://t.co/KEMTBHa8Qk

✔️ @InvestorAmnesia
https://t.co/zFL3H2dk6s

✔️

Tech focused

✔️ @stratechery
https://t.co/VsNwRStY9C

✔️ @bgurley
https://t.co/NKXGtaB6HQ

✔️ @CBinsights
https://t.co/H77hNp2X5R

✔️ @benedictevans
https://t.co/nyOlasCY1o

✔️

Tech Deep dives

✔️ @StackInvesting
https://t.co/WQ1yBYzT2m

✔️ @hhhypergrowth
https://t.co/kcLKITRLz1

✔️ @Beth_Kindig
https://t.co/CjhLRdP7Rh

✔️ @SeifelCapital
https://t.co/CXXG5PY0xX

✔️ @borrowed_ideas
MACHINE LEARNING , ALL
Marcus Mengs
Marcus Mengs
@mame82
Okay, doing my first baby steps with r2frida (which combines the power of @radareorg and @fridadotre).

Gonna share my progress in this thread (live, so keep calm).

The goal: Runtime inspection of data sent out by TikTok !!before!! it gets encrypted

1/many

First of all, we do not start from zero. I got some prior knowledge from past reversing attempts and want to share some important facts.

TikTok's (log data) encryption is accomplished by a native library. The Android Java code just serves as proxy function to the native function

The decompiled code for the respective native JNI function of an older TikTok version looks something like this, but in this example I use the most current TT version (no statical analysis done, yet)


In case you never reversed native libraries which were build to interface with Android Java layer via JNI, I highly suggest the entry level introduction on the topic by @maddiestone

Before we start, I want to pinpoint some important aspects (which are also covered by Maddie's videos).

1) Unlike raw C-functions, JNI functions like the one showcased above, receive pointers to complex Java objects .

F.e. a function receiving a String on the Java layer...
MACHINE LEARNING
Pratham Prasoon
Pratham Prasoon
@PrasoonPratham
These are the tools you will need for machine learning in Python.

🧵👇

Anaconda

When you work in python, you'll be working with several frameworks and many of them work only on specific versions of python.

(2 / 13)

Now imagine downloading a new version of python and then installing it for every framework you want to work with 😬.

Meet Anaconda which allows you to run several versions of python. It comes pre-installed with several data science and machine learning frameworks.

(3 / 13)

Pip-env is also a way of maintaining several versions of Python and comes pre installed with Python.
You can use pip env or Anaconda, whichever works for you.

(4 / 13)

Jupyter Notebooks

Jupyter notebooks is an IDE just like VS code or Sublime. The special thing about jupyter is that you can parts of code in mini code editors called cells. This is great for prototyping and testing code.

(5 / 13)
MACHINE LEARNING

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Shaan Puri
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If you're a college student who wants to pay off all your loans... here's an idea for you:

It takes ~$5k to start and will make ~$30k a year of profit

It won't get you rich, it'll pay for college.

(..and will teach them more about business than they’ll learn in school)

The idea isn’t sexy. But it works:

**Plastic Moving Bin Rentals**

Everyone knows moving sucks. The worst part is being stuck with 400 cardboard boxes at the end of your move.

Instead - @benmlevy told me about Gorilla Bins. They dropoff plastic moving bins, & pickem up later.


Let’s break it down. Our goal is to pay for college (~$30k profit per year).

To do that, I think we’ll need $50k in revenue.

The avg move (a 2 bedroom apartment) is $180

To hit our goal, we need do ~5.5 moves per week

COSTS?

How many bins do we need to buy up front?

5.5 moves a week x 50 bins = you need 275 bins. Let’s round up to 300 to be safe.

Ok let’s hop over to @uline to see how much these bins cost

Bingo. Bins cost about $15 a piece.

$15 x 300 bins = $4,500 initial startup costs.

Time to beg your parents or a rich aunt to lend you money to get the biz rolling (...or just take $5k of student loan money and invest it here…)
FINANCE
Trader knight
Trader knight
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Pyramiding 2.0

A thread-


What is pyramiding?

It is simply adding to your winners.

Why use pyramiding?

1. It makes your winners bigger than your losers.

• Because you are adding positions when your trades are going your way, you are increasing your gains but your losers will be small comparatively.

2. You lose less during Draw-down time ( it saves you from losing big during whipsaws )

• Many times when the market is in sideways mode, Entering a trade with full risk might not be the best idea.

• So, you test the waters with a small position first, it could be ⅓ or ¼ of your total risk.

• So if the Breakout fails or whipsaws come, then you will only lose a small part of your overall risk.

• Then when position starts to go in your favor you can add to it.

3. It helps you to concentrate on a few trades,

They say that don’t put all your eggs in one basket, but don’t put them in too many either.

• See, Everyone can see charts and find breakouts, pullbacks etc.
ALL , SWING TRADING , PYRAMIDING
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V\u0936\u0941\u0926\u094d\u0927\u093f
Vशुद्धि...
@V_Shuddhi
क्या आप जानते हैं कि क्या है, पितृ पक्ष में कौवे को खाना देने के पीछे का वैज्ञानिक कारण!

श्राद्ध पक्ष में कौओं का बड़ा ही महत्व है। कहते है कौआ यम का प्रतीक है, यदि आपके हाथों दिया गया भोजन ग्रहण कर ले, तो ऐसा माना जाता है कि पितरों की कृपा आपके ऊपर है और वे आपसे ख़ुश है।


कुछ लोग कहते हैं की व्यक्ति मरकर सबसे पहले कौवे के रूप में जन्म लेता है और उसे खाना खिलाने से वह भोजन पितरों को मिलता है

शायद हम सबने अपने घर के किसी बड़े बुज़ुर्ग, किसी पंडित या ज्योतिषाचार्य से ये सुना होगा। वे अनगिनत किस्से सुनाएंगे, कहेंगे बड़े बुज़ुर्ग कह गए इसीलिए ऐसा करना

शायद ही हमें कोई इसके पीछे का वैज्ञानिक कारण बता सके।

हमारे ऋषि मुनि और पौराणिक काल में रहने वाले लोग मुर्ख नहीं थे! कभी सोचियेगा कौवों को पितृ पक्ष में खिलाई खीर हमारे पूर्वजों तक कैसे पहुंचेगी?

हमारे ऋषि मुनि विद्वान थे, वे जो बात करते या कहते थे उसके पीछे कोई न कोई वैज्ञानिक कारण छुपा होता था।

एक बहुत रोचक तथ्य है पितृ पक्ष, भादो( भाद्रपद) प्रकृति और काक के बीच।

एक बात जो कह सकते कि हम सब ने स्वतः उग आये पीपल या बरगद का पेड़/ पौधा किसी न किसी दीवार, पुरानी

इमारत, पर्वत या अट्टालिकाओं पर ज़रूर देखा होगा। देखा है न?

ज़रा सोचिये पीपल या बरगद की बीज कैसे पहुंचे होंगे वहाँ तक? इनके बीज इतने हल्के भी नहीं होते के हवा उन्हें उड़ाके ले जा सके।
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PC\U0001f30e\u262e
PC🌎☮
@pc_432
Moderna CEO Stephane Bancel was previously CEO of bioMerieux in France from 07-10.

Alain Merieux, who owns bioMerieux, was instrumental in the creation of the Wuhan Institute of Virology P4 Lab.

The same people who helped create the virus, also helped to create the vaccines...


Moderna partnered with French Pasteur Institute in 2015 to develop mRNA vaccine technology.

Pasteur Institute partnered with the Wuhan P4 Laboratory in 2017 along with the Merieux Foundation to study emerging viruses...
https://t.co/yFsHwrNYaK
https://t.co/9M5lydBKhM


Nobel prize winning scientist Luc Montagnier asserts that Sars-Cov-2 is man-made and originated from the Wuhan Institute of Virology.

Montagnier did extensive work with the Pasteur Institute in France which was partnered with the Wuhan P4.

Merieux Foundation & the Chinese government have worked together since 1965, and partnered to study emerging pathogens in Africa in 2015.

Their research included "PATHOGENS CARRIED BY BATS" that provoke respiratory diseases.

🚨🚨🚨
https://t.co/gVwpT0ssqI
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Anu Satheesh \U0001f1ee\U0001f1f3
Anu Satheesh 🇮🇳...
@AnuSatheesh5
Thirumalai Murugan Kovil
#Panpoli
#TamilNaduTemples 🚩

Thirumalai Murugan Temple is located in Tenkasi district of Tamil Nadu. Muruga is worshipped as Thirumalai kumarasamy. Temple is situated near Kerala border and known to be where Shri Murugan gave darshan to Rishi Agasthiar


Devi is worshipped in the temple as Thirumalai Kaali amman

Sthala Puranam says that, there was a priest named Poovanbhattar of Thirumalai Kaali amman. Murugar appeared in a dream of the bhattar and said to find a Vigraham, lying in particular place which is of Thirumalaikumaran


Bhattar conveyed the news to the Pandalam Raja and they went to find out the vigraham. Surprisingly ants showed the way to find the Vigraham. Thus Murugan vigraham was found and Prathista was done here. There is a lake with pure water on the top of the hill


which is said to be created by Agasthiyar. It is believed that kannaki of
Chilapathikaram visited here before going to Kerala. Sapthamathrukkal also worshipped Murugan here. Kanthashashti Thiruvizha is very famous here.

Om Muruga
Muruganukku Harohara
🙏🕉🙏
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