New 20hr bootcamp on Probability & Statistics!!!

Videos released weekly but full playlist already posted:
https://youtube.com/playlist?list=PLMrJAkhIeNNR3sNYvfgiKgcStwuPSts9V&si=JnxwphTT7VXPPlS3

Probability & Statistics are cornerstones of data science and machine learning. This course rapidly covers the basics and gets into advanced topics.

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Three Ways of Storing and Accessing Lots of Images in Python

Link:https://realpython.com/storing-images-in-python/

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Check Internet Speed using Python

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Transformer by hand ✋

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11 types of variables in a Dataset

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Here’s the 2024 edition of the Daily Dose of Data Science archive.

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Density based clustering (DBSCAN), clearly explained

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Beginner's Guide to Multi-Agents

Video Recording: https://youtu.be/lGQ9rpfQBng

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📂 Tags: #DataScience #Python #ML

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Beginner's Guide to Multi-Agents - Slides

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Data Pre-Processing of Diabetes Data for reliable machine learning model

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📂 Tags: #DataScience #Python #ML

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How to deal with outliers clearly explained

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Using Normalization Layers to Improve Deep Learning Models

Link: https://machinelearningmastery.com/using-normalization-layers-to-improve-deep-learning-models/

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📂 Tags: #DataScience #Python #ML #AI #LLM

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Python Pandas Cheat Sheet

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NumPy cheat sheet for Data Scientists

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Amazing graphical representation of a neural net, never seen anything like it.

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Bayes’ theorem, clearly explained

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The opportunity is only seized by the wise and does not come around twice.

Transformers, visually explained

Details: https://poloclub.github.io/transformer-explainer/

Videos: https://youtu.be/ECR4oAwocjs

📂 Tags: #DataScience #Python #ML #AI

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🐱 Top 10 GitHub repos
✅ To succeed in data science interviews


1️⃣ ML Interviews repo

⏪ Including machine learning interview questions from basic topics to complex topics such as neural networks and reinforcement learning.

🔗 Link: GitHub-Repos
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2️⃣ Repo 500AI Projects with Code

⏪ 500 artificial intelligence, machine learning, deep learning, CV, NLP projects with code.

🔗 Link: GitHub-Repos
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3️⃣ 100 Days of ML Code repo

⏪ A hundred-day program for learning and practicing machine learning coding.

🔗 Link: GitHub-Repos
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4️⃣ Awesome Data Science repo

⏪ This repository is a curated list of great data science resources including books, software, and tools.

🔗 Link: GitHub-Repos
✂️✂️✂️✂️✂️✂️

5️⃣ Data Science for Beginners repo

⏪ This repository from Microsoft has a 10-week course with 20 lessons for beginners. Each lesson includes videos, quizzes, challenges and more.

🔗 Link: GitHub-Repos
✂️✂️✂️✂️✂️✂️

6️⃣ Data Science Masters repo

⏪ This repository provides a comprehensive, open-source curriculum to prepare students for entry-level roles in data science, at no cost!

🔗 Link: GitHub-Repos
✂️✂️✂️✂️✂️✂️

7️⃣ Awesome AI repo

⏪ A comprehensive collection of artificial intelligence learning resources including articles, books, courses and related tools.

🔗 Link: GitHub-Repos
✂️✂️✂️✂️✂️✂️

8️⃣ Awesome Public Datasets repo

⏪ Multiple examples of machine learning algorithms in Python with interactive Jupyter demos and mathematical explanation.

🔗 Link: GitHub-Repos
✂️✂️✂️✂️✂️✂️

9️⃣ Awesome Public Datasets repo

⏪ This repository provides a collection of data science job interview questions and answers that are great for preparation.

🔗 Link: GitHub-Repos
✂️✂️✂️✂️✂️✂️

1️⃣ Data Science Collected Resources repository

⏪ A list of the best data science resources including books, articles, and practical tools for learning and developing data science skills.

🔗 Link: GitHub-Repos

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