🧠 Unlock your full potential as a Data Scientist by learning these: → Python → Statistics → Data Analysis  → Modeling (e.g. PyTorch, Tensorflow) → Data Visualization → Domain Knowledge

Common feature scaling techniques 🔥

CRISP-DM: The standard process model for data mining 🚀 Learn more: tinztwinshub.com/data-science...

Dispersion Parameter - Clearly explained!

Python Libraries for Full Stack Devs - Web Apps: Plotly Dash, Reflex - APIs: FastAPI, Requests - Data Handling & Analytics - Database: SQLAlchemy - Tasks Scheduling: Rocketry - Dependency Management: Poetry - Testing: Pytest

Location parameter

Level of measurement - Clearly explained!

Portfolio optimization focuses on selecting the optimal combination of assets to maximize return and minimize risk. In our guide, you’ll learn how portfolio optimization works. Learn more: tinztwinshub.com/investment-r...

Sankey diagrams are a great way to visualize financial data. We’ll teach you how to create Sankey Diagrams with Plotly. Learn more: tinztwinshub.com/investment-r...

Python Libraries for Data Scientists - Data Handling: Pandas, Polars - Numerical Maths: Numpy - Data Visualization: Plotly - Model Selection and Training: Scikit-learn, XGBoost

Time Shifting in Pandas Cheat Sheet 🔥

If you want to become an AI Engineer in 2026, we would follow this roadmap. 10 steps. No fluff. Just pure learning that gets you ahead. Our website is the perfect starting point for learning these concepts. PLUS: Step-by-step guides (Python Code on GitHub) tinztwinshub.com/blog/

Working with time series in Pandas Learn more about the shift() function. 👇🏽

🐼 Shifting time series with freq

Everyone who wants to learn: - Python - Machine Learning - Multi-Agent Systems - Projects & Real-World Skills - and to build a career in Tech We hope you find our account helpful. If yes, please share this post.

🖋️ Share your unique perspective as a Magic AI writer and inspire others in the tech community. Your voice matters! medium.com/magic-ai/wri...

We make our investment decisions based on data, and you should do the same. But how? With the tool StocksGuide, you can easily analyze stocks and make data-driven investment decisions! Check out our review article: blog.towardsfinance.com/stocksguide-...

Docker simplifies the workflow of machine learning engineers from development to deployment. We explain the key Docker components and show you the CLI commands we use most often in practice. Learn more now: tinztwinshub.com/software-eng...

🤖 Machine Learning is not the best solution for all problems. First, you should not start with machine learning. Instead, do the following 👇🏽

Free ML Books You Should Know! 🔥 1️⃣ d2l.ai 2️⃣ www.deeplearningbook.org 3️⃣ christophm.github.io/interpretabl... 4️⃣ info.deeplearning.ai/machine-lear... 5️⃣ mml-book.github.io 6️⃣ www.statlearning.com

7 Python packages for finance, YOU NEED TO KNOW! 🔥 Our favorite: OpenBB All packages are available for FREE on GitHub. Which would you add?

📈 Discover the best way to invest your money statistically! Isn't it fascinating to think about optimizing your investments?

🐍 Have you ever worked with large numbers in Python? Which number is more readable 1000000 or 1,000,000? The second one, right? Unfortunately, the second notation does not work in Python. However, you can use a _ instead of a ,. Let’s look at an example.

🤯 Wow, it's approximately 7000 times faster! Large Pandas Dataframes can consume a large amount of memory. It's fascinating how processing data in smaller chunks can help prevent running out of memory and access data faster! Are you looking for more Python tips?👇🏽 tinztwinshub.com/data-science...

Generate Realistic Fake Data with Faker 🔥 Faker is a Python package that makes it easy to create fake but realistic data for testing. It can make names, addresses, zip codes, and more. Say goodbye to making test data by hand and improve your testing with Faker.

🚀 Efficient scheduling of Python functions To schedule Python functions with easy-to-understand and customizable scheduling statements, use Rocketry. Unlike other tools, Rocketry makes no assumptions about the project structure. More Python tips? tinztwinshub.com/data-science...

Python List Methods - Clearly explained 🔥 . 🤔 Which of these methods do you use most often? Share your experiences in the comments below!

Protect your sensitive data! 🔥

Model View Controller (MVC) Pattern 🔥 🔍 Model: It handles the business logic and communicates with databases or other backend systems. 👀 View: It presents the data but doesn't directly interact with the model. 🔗 Controller: It processes data and updates the view with information from the model.

🌟 Discover the power of AI agents in finance! Our curated list of LLM apps is a great starting point for your own projects. buff.ly/o6qf2p7

📈 Discover the best way to invest your money statistically! Isn't it fascinating to think about optimizing your investments?

🐍 Have you ever worked with large numbers in Python? Which number is more readable 1000000 or 1,000,000? The second one, right? Unfortunately, the second notation does not work in Python. However, you can use a _ instead of a ,. Let’s look at an example.

🤯 Wow, it's approximately 7000 times faster! Large Pandas Dataframes can consume a large amount of memory. It's fascinating how processing data in smaller chunks can help prevent running out of memory and access data faster! Are you looking for more Python tips?👇🏽 tinztwinshub.com/data-science...

Generate Realistic Fake Data with Faker 🔥 Faker is a Python package that makes it easy to create fake but realistic data for testing. It can make names, addresses, zip codes, and more. Say goodbye to making test data by hand and improve your testing with Faker.

🚀 Efficient scheduling of Python functions To schedule Python functions with easy-to-understand and customizable scheduling statements, use Rocketry. Unlike other tools, Rocketry makes no assumptions about the project structure. More Python tips? tinztwinshub.com/data-science...

Python List Methods - Clearly explained 🔥 . 🤔 Which of these methods do you use most often? Share your experiences in the comments below!

Protect your sensitive data! 🔥

Model View Controller (MVC) Pattern 🔥 🔍 Model: It handles the business logic and communicates with databases or other backend systems. 👀 View: It presents the data but doesn't directly interact with the model. 🔗 Controller: It processes data and updates the view with information from the model.

🌟 Discover the power of AI agents in finance! Our curated list of LLM apps is a great starting point for your own projects. buff.ly/o6qf2p7

How do you track ML Models? We use MLflow to manage the machine learning lifecycle. You can use our open-source MLflow Workspace.

🚀 Become a Magic AI writer and share your insights with a vibrant community of tech enthusiasts. Learn from experts and contribute to the world of machine learning and data science.

How do you track ML Models? We use MLflow to manage the machine learning lifecycle. You can use our open-source MLflow Workspace.

🚀 Become a Magic AI writer and share your insights with a vibrant community of tech enthusiasts. Learn from experts and contribute to the world of machine learning and data science.

Semantic versioning is a standardized versioning system for software, using the format MAJOR.MINOR.PATCH. 🟥 Major → Breaking changes 🟧 Minor → New features or performance improvements, Non-breaking changes 🟩 Patch → Bug Fixes 🟦 (optional) Pre-Release suffix

🍃 Stem-Leaf Plot - An intelligent visualization! It's a simple and effective way to visualize and compare datasets. 👇🏽 ✍🏽 Have you used stem-leaf plots before?

Boxplot: A clear explanation 👇🏽 💡 A boxplot is a visual summary of your data that shows how the data is distributed and where it spends the most time. Imagine your data as a series of numbers arranged in order. ✍🏽 How do you use boxplots in your data analysis? Write it in the comments.

Run LLMs locally with Docker 🔥 Docker Model Runner makes this possible. In our FREE guide, you'll learn how to use the Docker Model Runner CLI. Read Now 👇🏽

🚀 Expose Your Agno Agent as an AG-UI Compatible App! AG-UI (Agent-User Interaction Protocol) standardizes how AI agents connect to frontend applications. It’s like a universal translator for AI-driven systems. Unlock the knowledge:

Ensemble methods (Boosting, Bagging, and Stacking) visually explained! 👇🏽

Machine Learning: A Visual Guide to Boosting Boosting is an ensemble method. An ensemble combines multiple models to create an even more powerful model. 💡 Primary idea: The aggregation of multiple models helps to reduce the weaknesses of individual models. Our FREE cheat sheets: buff.ly/69Jw60g