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Akshay π
Follow @akshay_pachaar
Here to simplify python, maths & machine learning for you. π¨βπ» Sr DataScientist @tomtom | πBITS Pilani | 3patents | π© to Colab | π β https://t.co/wJAWnkjqX5
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Jan 28
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12 tweets
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6 min read
I started my career in Data Science back in 2016 β³
Here's a List of Python/ Machine Learning libraries I would urge you to master!! π
Links to official docs & YouTube Tutorials in the thread π§΅π 1οΈβ£ NumPy
The most popular Python library for scientific computing.
Docs: π
numpy.org/doc/stable/useβ¦
Video Tutorial: π
Jan 27
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4 tweets
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The ML code is only a small part of the Puzzle π§©
The surrounding infrastructure is vast & this is where MLOps becomes important.
Resources to get started with MLOp! π
A Thread π§΅π
MLOps Specialization:
π β
tinyurl.com/MLOps-Coursera
MLOps/ Applied ML:
π β
madewithml.com
MLOps Project:
π β
tinyurl.com/zoomcar-camp
MLOps Book:
π β
tinyurl.com/ml-system-desiβ¦
MLOps Platform:
π β
abacus.ai
Jan 25
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Grab these top-rated AI/ Machine Learning books for FREE! π π₯
Links in the thread π§΅π
1οΈβ£ ISL
Tested by time and read by millions, the bible for statistical & classical machine learning.
Mathematical concepts are explained in a beginner friendly & intuitive way.
π β
tinyurl.com/ISLhastie
Jan 24
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The missing semester in your college education!π§βπ
If you want to:
- master the command-line
- use a powerful text editor (vim)
- become a data wrangling pro
- use fancy features of version control
Open this: Folks at MIT have created this amazing playlist on YouTube!
1οΈβ£ Shell Tools & Scripting
Check this out π
Jan 24
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8 tweets
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2 min read
I have been writing code for 8 years nowβ³
Today, I'll show you how ChatGPT is saving me hours of work everyday π
A Thread π§΅π It helps me build models & customise them however I want π₯
All I need is to provide all the specifications in plain english.
Check this out π
Jan 22
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3 min read
Here's how you can train a typical image classifier using TensorFlow π
Let me break it down for you today!
A Thread π§΅π
We start by importing the necessary modules from TensorFlow.
This includes the EarlyStopping & ModelCheckpoint callbacks.
( more on callbacks later in the π§΅ )
Check this out π
Jan 17
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4 min read
I started my career in Data Science back in 2016 β³
Here's a list of courses that I took!!
π§΅ππ» 1οΈβ£ Machine Learning by Andrew Ng
Tested by time and taken by millions.
Arguably the best course to start with ππΌ
Check this out π
coursera.org/specializationβ¦
Jan 15
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Data Scientist or Software engineer, every programer must know Git!! π
Top resources to learn Git and Version Control for Free β
A Thread π§΅π 1οΈβ£ Missing Semester by MIT
1 hour Version Control Lecture.
This one is my favourite π
Check this outπ
Jan 13
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I have been solving problems using ML for 6 years now β³
Here's a list of Tech YouTube Channels I've ardently followed!! β
A Thread π§΅π 1οΈβ£ Corey Schafer
Arguably the best python channel on YouTube π₯
I have personally learned a lot from him β
Check this out π
youtube.com/c/Coreyms
Jan 12
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Kornia is a Differentiable Library based on PyTorch.
Today, we learn about Warping image using perspective transform, an important Computer Vision concept!!
A Thread π§΅ π
@kornia_foss
First of all, we make necessary imports & load the original image.
Check this outπ
Jan 11
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Power BI is an incredibly powerful tool to have for a Data Analyst!
Master Power BI with these FREE resources! π
A Thread π§΅π
1οΈβ£ Microsoft Learn
Official resources by Microsoft to learn Power BI π
Check this out π
learn.microsoft.com/en-us/trainingβ¦
Jan 10
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Lambda functions in Python are a game-changer for writing elegant & efficient code!! π₯
Let's understand them today! π
A Thread π§΅π
What are lambda functions ?
Simply put, they are small anonymous functions that are defined without a name.
Check out the syntax π
Jan 7
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Boost your odds of landing a Data Science job in 2023 with these projects π
A Thread π§΅ π 1οΈβ£ GPT-3 Chatbot with Python π€
Build you own GPTChat like chat-bot π₯
Check this outπ
jman4190.medium.com/how-to-build-aβ¦
Jan 6
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Become a data wrangling pro! π₯
Eight Pandas operations you should master!! πΌ π
-- explained with code snippets --
A Thread π§΅π 1οΈβ£ Read/Write | Shuffle/Sample
Reading, writing, shuffling & sampling your data using Pandas.
Check this out π
Jan 4
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Become a Google Certified Data Scientist
for FREE!! π§βπ
A Thread π§΅ππ» 1οΈβ£ Python Basics for Data Analysis
Check this out π
learndigital.withgoogle.com/digitalunlockeβ¦
Jan 3
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Kornia is a Differentiable Library based on PyTorch.
π« Build a ππππ π«πππππππ in just a few lines of Python code using Kornia.
A Thread π§΅π
@kornia_foss
1οΈβ£ Import necessary libraries.
Check this outπ
Jan 1
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I started my career in Data Science back in 2016 β³
Here's a detailed roadmap to learn Data Science/ Machine Learning in 2023! β¨
-- A Thread -- If you are new to programming and just getting started.
There isn't a better place to learn Python than
@davidjmalan
's CS50p.
Beautiful explanations and great projects.
It's a complete package β‘οΈ
Check this out π
cs50.harvard.edu/python/2022/
Dec 31, 2022
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I have been solving problems using ML for 6 years now. β³
Here are the Books that have helped me during this journey! π
A Thread π§΅π
1οΈβ£ ISL
Tested by time and read by millions, the bible for statistical & classical machine learning.
Mathematical concepts are explained in a beginner friendly & intuitive way.
A must read for anyone starting in machine learning. π
Dec 30, 2022
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Master Excel for FREE!! π
A Thread π§΅π 1οΈβ£ freeCodeCamp | Microsoft Excel
2.5
hrs Full Course π₯
Six hand-on projects to teach you Excel β
Check this outπ
Dec 29, 2022
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The likes of Google, Microsoft & IBM are offering FREE Data Scientist & Analyst certifications π§βπ
Level up your game in 2023! π
A Thread π§΅π 1οΈβ£ Google Data Analyst Certification:
Provides all the skills you need to find a job in the field of data analytics.
Check this outπ
grow.google/intl/en_in/datβ¦
Dec 26, 2022
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PCA from scratch using Python π₯
Principal Component Analysis is a powerful technique for dimensionality reduction and data visualisation.
-- step by step explanation with code --
A Thread π§΅π
We'll use wine_dataset which has 13 features (dimensions) originally!!
Check this out π