Python | Machine Learning | Coding

Python | Machine Learning | Coding | R

🔍 Free Data Analytics Courses by Microsoft

1. Get started with microsoft data analytics
https://learn.microsoft.com/en-us/training/paths/data-analytics-microsoft/

2. Introduction to version control with git
https://learn.microsoft.com/en-us/training/paths/intro-to-vc-git/

3. Microsoft azure ai fundamentals
https://learn.microsoft.com/en-us/training/paths/get-started-with-artificial-intelligence-on-azure/

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Python | Machine Learning | Coding | R

😍 New to AI agents?

This free 10-part course on #GitHub will guide you from concept to #code as you start building #AI #agents:

⚡ Link: msft.it/6013qZ7Zb

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Python | Machine Learning | Coding | R

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Python | Machine Learning | Coding | R

course lecture on building Transformers from first principles:
https://www.dropbox.com/scl/fi/jhfgy8dnnvy5qq385tnms/lectureattentionneuralnetworks.pdf?rlkey=fddnkonsez76mf8bzider3hrv&dl=0

The #PyTorch notebooks also demonstrate how to implement #Transformers from scratch:
https://github.com/xbresson/CS52422025/tree/main/labslecture07

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Python | Machine Learning | Coding | R

👨🏻‍💻 One of the most popular GitHub repositories for "learning and using algorithms in Python" is The Algorithms - Python repo with 196K stars.

✏️

It has a lot of organized and categorized code that you can use to find, read, and run different algorithms. Everything you can think of is here; from simple algorithms like sorting to advanced algorithms for machine learning, artificial intelligence, neural networks, and more.

✅

Why should we use it?

🔢

For learning: If you're looking to learn algorithms in action, this is great.

🔢

For practice: You can take the codes, run them, and modify them to better understand.

🔢

For projects : You can even use the codes here in real-life or academic projects.

🔢

For interviews: If you're preparing for data science interviews, this is full of practical algorithms.

┌ 🏳️‍🌈 The Algorithms - Python
└ 🐱 GitHub-Repos

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Python | Machine Learning | Coding | R

Pandas Introduction to Advanced.pdf

854.8 KB

📄

"Pandas Introduction to Advanced" booklet

👨🏻‍💻 You can't attend a #datascience interview and not be asked about Pandas! But you don't have to memorize all its methods and functions! With this booklet, you'll learn everything you need.

✔️ One of the most useful and interesting combinations is using #Pandas with #AWS Lambda, which can be very useful in real projects.

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Python | Machine Learning | Coding | R

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Python | Machine Learning | Coding | R

Exercises in Machine Learning

This book contains 75+ exercises

Download, read, and practice:
arxiv.org/pdf/2206.13446

GitHub Repo: https://github.com/michaelgutmann/ml-pen-and-paper-exercises

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Python | Machine Learning | Coding | R

Linear Algebra

The 2nd best book on linear algebra with ~1000 practice problems. A MUST for AI & Machine Learning.

Completely FREE.

Download it: https://www.cs.ox.ac.uk/files/12921/book.pdf

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Python | Machine Learning | Coding | R

Forwarded from Data Science Machine Learning Data Analysis Books

#MachineLearning Systems — Principles and Practices of Engineering Artificially Intelligent Systems: https://mlsysbook.ai/

open-source textbook focuses on how to design and implement AI systems effectively

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Python | Machine Learning | Coding | R

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Python | Machine Learning | Coding | R

🔗 Machine Learning from Scratch by Danny Friedman

https://dafriedman97.github.io/mlbook/content/introduction.html

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Python | Machine Learning | Coding | R

Stanford’s Machine Learning - by Andrew Ng

A complete lecture notes of 227 pages. Available Free.

Download the notes:
cs229.stanford.edu/main_notes.pdf

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Python | Machine Learning | Coding | R

"Machine Learning & LLMs for Beginners"

Don't miss these 2 books of 100-pages. Both are #FREE to read.

🌟 The Hundred-Page Machine Learning Book:
themlbook.com/wiki/doku.php

🌟 The Hundred-Page Language Model Book:
thelmbook.com

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Python | Machine Learning | Coding | R

Stanford's "Design and Analysis of Algorithms" Winter 2025

Lecture Notes & Slides: https://stanford-cs161.github.io/winter2025/lectures/

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Python | Machine Learning | Coding | R

"Introduction to Probability for Data Science"

One of the best books on #Probability. Available FREE.

Download the book:
probability4datascience.com/download.html

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Python | Machine Learning | Coding | R

Top 100+ questions%0A %22Google Data Science Interview%22.pdf

16.7 MB

💯 Top 100+ Google Data Science Interview Questions

🌟 Essential Prep Guide for Aspiring Candidates

Google is known for its rigorous data science interview process, which typically follows a hybrid format. Candidates are expected to demonstrate strong programming skills, solid knowledge in statistics and machine learning, and a keen ability to approach problems from a product-oriented perspective.

To succeed, one must be proficient in several critical areas: statistics and probability, SQL and Python programming, product sense, and case study-based analytics.

This curated list features over 100 of the most commonly asked and important questions in Google data science interviews. It serves as a comprehensive resource to help candidates prepare effectively and confidently for the challenge ahead.

https://t.me/addlist/0f6vfFbEMdAwODBk

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Python | Machine Learning | Coding | R

from SQL to pandas.pdf

1.3 MB

🐼

"Comparison Between SQL and pandas" – A Handy Reference Guide

⚡️ As a data scientist, I often found myself switching back and forth between SQL and pandas during technical interviews. I was confident answering questions in SQL but sometimes struggled to translate the same logic into pandas – and vice versa.

🔸 To bridge this gap, I created a concise booklet in the form of a comparison table. It maps SQL queries directly to their equivalent pandas implementations, making it easy to understand and switch between both tools.

⚡ This reference guide has become an essential part of my interview prep. Before any interview, I quickly review it to ensure I’m ready to tackle data manipulation tasks using either SQL or pandas, depending on what’s required.

📕 Whether you're preparing for interviews or just want to solidify your understanding of both tools, this comparison guide is a great way to stay sharp and efficient.

#DataScience #SQL #pandas #InterviewPrep #Python #DataAnalysis #CareerGrowth #TechTips #Analytics

✉️ Our Telegram channels: https://t.me/addlist/0f6vfFbEMdAwODBk

📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

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