Introduction to Jupyter Notebooks - Interface | Ipython Kernel | Sharing | GitHub

Harshit Tyagi · Beginner ·🛠️ AI Tools & Apps ·5y ago
Thi tutorial is a complete guide to Jupyter notebooks to get you started with your analysis or any data science project. You'll learn about the Notebook interface, the working of an Ipython kernel and how you can share your work with your colleagues. Here are the resources you can use: - My featured blogpost covering everything: https://link.medium.com/HeZhzLw1t5 - Jupyter documentation: https://jupyter-notebook.readthedocs.io/en/stable/ - Ipython: https://ipython.readthedocs.io/en/stable/ You can connect with me here: - LinkedIn: https://www.linkedin.com/in/tyagiharshit/ - Medium where I w…
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Uploads from Harshit Tyagi · Harshit Tyagi · 4 of 60

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1 Your PATH to learning Data Science
Your PATH to learning Data Science
Harshit Tyagi
 2 Ideal Python environment setup for Data Science projects - Unix shell, Anaconda and Git.
Ideal Python environment setup for Data Science projects - Unix shell, Anaconda and Git.
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 3 Building COVID-19 interactive dashboard from Jupyter Notebook | No frontend/backend coding required.
Building COVID-19 interactive dashboard from Jupyter Notebook | No frontend/backend coding required.
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 ▶ Introduction to Jupyter Notebooks - Interface | Ipython Kernel | Sharing | GitHub
Introduction to Jupyter Notebooks - Interface | Ipython Kernel | Sharing | GitHub
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 5 Python fundamentals for Data Science - Part 1 | Data types | Strings | Lists
Python fundamentals for Data Science - Part 1 | Data types | Strings | Lists
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 6 Python fundamentals for Data Science - Part 2 Dictionaries | Conditionals | Loops | Functions
Python fundamentals for Data Science - Part 2 Dictionaries | Conditionals | Loops | Functions
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 7 Python fundamentals for Data Science - Part 3 OOPS | Working with External Libraries & Modules
Python fundamentals for Data Science - Part 3 OOPS | Working with External Libraries & Modules
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 8 NumPy Essentials for Data Science - part-1 | One Dimensional Array
NumPy Essentials for Data Science - part-1 | One Dimensional Array
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 9 NumPy Essentials for Data Science - part-2 | Multi-Dimensional Array
NumPy Essentials for Data Science - part-2 | Multi-Dimensional Array
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 10 Math For Data Science | Practical reasons to learn math for Machine/Deep Learning
Math For Data Science | Practical reasons to learn math for Machine/Deep Learning
Harshit Tyagi
 11 Linear Algebra Ep 1 | Introduction to Vectors, Matrices and Tensors using NumPy
Linear Algebra Ep 1 | Introduction to Vectors, Matrices and Tensors using NumPy
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 12 Linear Algebra Ep 2 | Dot Product in Linear Algebra for Data Science
Linear Algebra Ep 2 | Dot Product in Linear Algebra for Data Science
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 13 Python vs R | The BEST programming language for your Data Science Project
Python vs R | The BEST programming language for your Data Science Project
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 14 Linear Algebra for Data Science Ep3 | Identity and Inverse Matrices | NumPy
Linear Algebra for Data Science Ep3 | Identity and Inverse Matrices | NumPy
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 15 The Data Show Ep1 | Elucidating Data Science in Drug Discovery - A CTO's Account
The Data Show Ep1 | Elucidating Data Science in Drug Discovery - A CTO's Account
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 16 Google Certified TensorFlow Developer | Learning Plan, Tips, FAQs & my Journey
Google Certified TensorFlow Developer | Learning Plan, Tips, FAQs & my Journey
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 17 Speeding up your Data Analysis | Hacks & Libraries
Speeding up your Data Analysis | Hacks & Libraries
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 18 How to build an Effective Data Science Portfolio
How to build an Effective Data Science Portfolio
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 19 End-to-End Machine Learning Project Tutorial - Part 1
End-to-End Machine Learning Project Tutorial - Part 1
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 20 Data Preparation with Sci-kit learn and Pandas | End-to-End ML Project Tutorial - Part 2
Data Preparation with Sci-kit learn and Pandas | End-to-End ML Project Tutorial - Part 2
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 21 Training and Fine-Tuning ML Models with Sklearn | End-to-End ML Project Tutorial - Part 3
Training and Fine-Tuning ML Models with Sklearn | End-to-End ML Project Tutorial - Part 3
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 22 Deploying a Trained ML model via Flask on Heroku | End-to-End ML Project Tutorial - Part 4
Deploying a Trained ML model via Flask on Heroku | End-to-End ML Project Tutorial - Part 4
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 23 Three Decades of Practising Data Science | Interview with Dean Abbott
Three Decades of Practising Data Science | Interview with Dean Abbott
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 24 Calculating Vector Norms - Linear Algebra for Data Science - IV
Calculating Vector Norms - Linear Algebra for Data Science - IV
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 25 Ep1 - Getting Started | Zero to Hero in Computer Vision with TensorFlow
Ep1 - Getting Started | Zero to Hero in Computer Vision with TensorFlow
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 26 Ep3 - Designing Data Experiments to enhance your Product | Rapido's Data Science Lead, Pramod N
Ep3 - Designing Data Experiments to enhance your Product | Rapido's Data Science Lead, Pramod N
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 27 Building projects with fastai - From Model Training to Deployment
Building projects with fastai - From Model Training to Deployment
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 28 October AI - Video Calling with One-Tenth of Internet Bandwidth
October AI - Video Calling with One-Tenth of Internet Bandwidth
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 29 November AI - Breakthrough in biology after 50 years | Datasets, books, research papers and more...
November AI - Breakthrough in biology after 50 years | Datasets, books, research papers and more...
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 30 Data Science learning roadmap for 2021
Data Science learning roadmap for 2021
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 31 How to land your first freelancing project - 5-step process!
How to land your first freelancing project - 5-step process!
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 32 Talk is cheap, BUILD - Microsoft Software Engineer | Interview with Abhirath Batra
Talk is cheap, BUILD - Microsoft Software Engineer | Interview with Abhirath Batra
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 33 Building a Habit of Reading Research Papers | Ft. Anurag Ghosh(Microsoft Researcher)
Building a Habit of Reading Research Papers | Ft. Anurag Ghosh(Microsoft Researcher)
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 34 Tableau vs Python - Building a COVID tracker dashboard
Tableau vs Python - Building a COVID tracker dashboard
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 35 [Explained] What is MLOps | Getting started with ML Engineering
[Explained] What is MLOps | Getting started with ML Engineering
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 36 Dmitry Petrov - Creator of DVC | ML Systems, Teams, Scaling challenges, and Learning Data Science
Dmitry Petrov - Creator of DVC | ML Systems, Teams, Scaling challenges, and Learning Data Science
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 37 Five hard truths about building a career in Data Science
Five hard truths about building a career in Data Science
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 38 Questions you should ask before starting an ML project
Questions you should ask before starting an ML project
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 39 Computing gradients using TensorFlow | Training a Linear Regression model from scratch.
Computing gradients using TensorFlow | Training a Linear Regression model from scratch.
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 40 Foundations for Data Science & ML - First steps for every beginner!
Foundations for Data Science & ML - First steps for every beginner!
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 41 Course Outline - Foundations for Data Science & ML
Course Outline - Foundations for Data Science & ML
Harshit Tyagi
 42 How Machine Learning uses Linear Algebra to solve data problems
How Machine Learning uses Linear Algebra to solve data problems
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 43 Calculus for ML - How much you should know to get started
Calculus for ML - How much you should know to get started
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 44 Building a buzzing stocks news feed using NLP and Streamlit | Named Entity Recognition & Linking
Building a buzzing stocks news feed using NLP and Streamlit | Named Entity Recognition & Linking
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 45 AI Engineer - The next big tech role!
AI Engineer - The next big tech role!
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 46 AI researcher vs AI engineer | The next big tech role!
AI researcher vs AI engineer | The next big tech role!
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 47 How to become an AI Engineer in 2024 | Skills, learning resources, and project ideas.
How to become an AI Engineer in 2024 | Skills, learning resources, and project ideas.
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 48 Reviewing LLMs for content creation
Reviewing LLMs for content creation
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 49 Building a chatGPT-like bot on WhatsApp #coding #chatgpt #engineering
Building a chatGPT-like bot on WhatsApp #coding #chatgpt #engineering
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 50 High Signal AI - the most action-oriented newsletter on the web! #ai
High Signal AI - the most action-oriented newsletter on the web! #ai
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 51 Building an AI-powered Discord Chatbot Locally for FREE using Ollama
Building an AI-powered Discord Chatbot Locally for FREE using Ollama
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 52 Build a second brain with Khoj 🧠 #ai #obsidian #plugins #productivity #engineering #notes
Build a second brain with Khoj 🧠 #ai #obsidian #plugins #productivity #engineering #notes
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 53 Summarising YouTube Videos using Ollama on Discord | Becoming an AI Engineer - Ep 2
Summarising YouTube Videos using Ollama on Discord | Becoming an AI Engineer - Ep 2
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 54 Watch the full video on my channel - Roadmap to become an AI Engineer.
Watch the full video on my channel - Roadmap to become an AI Engineer.
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 55 Mesop - Python-based UI framework from Google!
Mesop - Python-based UI framework from Google!
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 56 How I automated my YouTube | Gumloop tutorial | No Code
How I automated my YouTube | Gumloop tutorial | No Code
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 57 ARC PRIZE - Win $1Million to Beat the ARC-AGI benchmark
ARC PRIZE - Win $1Million to Beat the ARC-AGI benchmark
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 58 Microsoft's Autogen vs CrewAI - tested on a diverse range of use cases
Microsoft's Autogen vs CrewAI - tested on a diverse range of use cases
Harshit Tyagi
 59 Claude #AI artifacts are just amazing!
Claude #AI artifacts are just amazing!
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 60 OpenAI releases CriticGPT to correct GPT-4's mistakes | Read the paper with me
OpenAI releases CriticGPT to correct GPT-4's mistakes | Read the paper with me
Harshit Tyagi
Item-Level Price Mismatches: Google Merchant Center Guide
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Item-Level Price Mismatches: Google Merchant Center Guide
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