Milan Janosov’s Post

Built Logistic Regression from Scratch using NumPy! Implemented the sigmoid function, trained the model using gradient descent, and visualized the logistic curve for binary classification. This project helped me understand how logistic regression actually works under the hood without using ML libraries. 🔗 GitHub: https://lnkd.in/gnZ-g4aQ #MachineLearning #Python #NumPy #LogisticRegression #DataScience #LearningInPublic

Calculate the perfect triangle area in Python with precision As a beginner, learning geometric calculations can make you a standout in the tech industry. In this article, discover the step-by-step approach to calculating the area of a right-angled triangle using Python. PythonProgramming ITFreshers Geometry Trigonometry TechLab Read the full article 👉 https://lnkd.in/drnG9C3a #RightAngledTriangle #PythonProgramming #ITFreshers #Geometry #Trigonometry #TechLab Code. Learn. Build. — TechLab by Neeraj

You can fit the most common Bayesian regression models in Python using a consistent syntax (similar to brms in R) using the bambi package. It utilizes PyMC to do the simulations. It's remarkably easy and straightforward to use - you just adjust the family name to the right model type. Here are a few examples. More instructions are available here: https://lnkd.in/eGSG3-Bk #statistics #datascience #analytics #rstats #python #peopleanalytics #technology #ai

🚀 Sum of Subarray Minimums Using a monotonic stack, compute how many subarrays each element contributes to as the minimum. Contribution → arr[i] × left × right Reduces complexity from O(n²) to O(n) for large arrays. #geekstreak60 #npci #python #dsa #algorithms

We just finished the first YouTube series on py-dss-toolkit. If you use OpenDSS with Python, this series shows practical ways to explore models, extract results, and visualize studies more efficiently. You can use py-dss-toolkit to: ✅ work with OpenDSS data in a more structured way 📊 move results into pandas DataFrames for analysis 💻 create visual workflows, including in Google Colab I’d love your feedback: what should the next series focus on? 🔎 Plotting? 🔎 QSTS? 🔎 Model exploration? 🔎 Automation? #OpenDSS #Python #PowerSystems

Exploring clustering algorithms in Machine Learning! 📊 I recently implemented the **K-Medoids (PAM) clustering algorithm in Python** and visualized the clusters using Matplotlib. Unlike K-Means, K-Medoids selects actual data points as cluster centers, making it more robust to outliers. This small project helped me better understand how clustering works and how different algorithms group similar data points. Tools used: • Python • NumPy • Matplotlib Always exciting to turn theory into practical implementation! 🚀 #MachineLearning #DataScience #Python #Clustering #KMedoids #StudentProject

𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐢𝐧𝐠 𝐭𝐡𝐞 𝐓𝐫𝐮𝐞 𝐒𝐢𝐳𝐞 𝐨𝐟 𝐀𝐟𝐫𝐢𝐜𝐚 - by Jeff Desjardins published by the Visual Capitalist: https://lnkd.in/d5K8qn3f ----- Learn geospatial in Python: https://lnkd.in/dBTUqctW

This compelling story highlights just how vast Africa is compared to other continents worldwide, showcasing the incredible power of GIS visualization.

📌 Negative Indexing in NumPy Negative indexing in NumPy allows us to access elements from the end of an array. Instead of starting from the beginning (0, 1, 2...), negative indexing starts from the last element. -1 refers to the last element in the array. -2 refers to the second last element. -3 refers to the third last element, and so on. This feature is very useful when working with arrays where we need to quickly access values from the end of the dataset. Negative indexing helps make array operations more flexible and efficient in data analysis. #Python #NumPy #DataAnalytics #LearningPython

I'm thrilled to announce the first release of HaloBlocks 🎉—a new Python library where every neural network component is a composable, plug-and-play block. Built for clarity and performance, it features modular MoE, VLA blocks (like Flow Matching), and a clean factory pattern for seamless model block integration and usage ✅ Install via pip ( python 3.13 available): pip install haloblocks Would love to hear your thoughts! #HaloBlocks #Python #AI #OpenSource