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My 8-Day ML + MLOps Showcase Series
I’m excited to announce that I’ll be rolling out an 8-day LinkedIn series diving into my self-taught, AI-powered ML project, StellarHarvest Insight Engine. Tech recruiters & ML engineers, I’d love your feedback and insights! My 8-Day ML + MLOps Showcase Series Hey everyone! 🚀 Over the next week and a half, I’ll share: 🔍 Tech…
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I had a dream about Chat with AI – Web App AI Chat – Own Server
Moving forward in my journey into the AI/ML world, I thought, “Let’s create an AI Chat for my blog content.” It sounds easy, but it wasn’t. I learned many lessons and gained new skills. The problems started when I wanted to put my app code on production. The idea The main idea was to create…
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scikit-learn – Machine Learning Models in Python – EDA Introduction (Exploratory Data Analysis) & Workflow
Preface In this post, I will focus on EDA – Exploratory Data Analysis. EDA is done in the first step “Data – load & analyze” of the workflow. The next required steps and the technology stack are described in detail in scikit-learn – Machine Learning Models in Python – Workflow & Introduction. NOTE: In the…
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scikit-learn – Machine Learning Models in Python – Workflow & Introduction
What is a scientific toolkit for learning (scikit-learn) Scikit-learn is an open-source Python library widely used for machine learning tasks. It provides simple and efficient tools for data preprocessing, feature extraction, model selection, and a variety of supervised and unsupervised learning algorithms. Built on NumPy, SciPy, and Matplotlib, it is designed for ease of use,…
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matplotlib – Data Visualization in Python – Introduction
What is matplotlib Matplotlib is a popular Python library for creating static, interactive, and animated visualizations. It provides tools to plot graphs like line charts, bar graphs, scatter plots, and histograms, which are essential for data analysis, and feature exploration. With functions like plot(), scatter(), and imshow(), it enables visualization of data distributions, trends, and…
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NumPy – Numerical Data Analysis and Manipulation in Python – Introduction
What is Numerical Python NumPy is a Python library that forms the foundation of scientific and numerical computations in Python. NumPy stands for Numerical Python. Since machine learning involves transforming data into numbers and finding patterns, NumPy is often a critical component. Why NumPy Numerical computations can be done using pure Python. At first, Python might…
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pandas – Data Analysis and Manipulation in Python – Introduction
pandas, what pandas 🐼 pandas is an open-source library for Python that enables data manipulation and analysis. Why pandas The pandas library is a powerful tool for data manipulation, analysis, and exploration in Python. Its intuitive data structures, rich set of functions, and integration with other libraries make it a popular choice for a wide range…
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How do I prepare data for the Machine Learning Model? Make it all numbers!
In this article, I will go deeper into the step “The data” from the Machine Learning Workflow. In the previous article, How do I work with data using a Machine Learning Model? I described three of the six steps. All the data for the Machine Learning Model needs to be numerical. Preparing the data involves…
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How do I evaluate the Machine Learning Model? Does it perform well?
In this article, I will describe the next step (Evaluation) for the Machine Learning Workflow. In the previous article, How do I work with data using a Machine Learning Model? I described three of the six steps. Evaluation of a Machine Learning Model is often comparing predicted labels to the truth labels. Evaluating the results…
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How do I work with data using a Machine Learning Model?
In this article, I will show how to use a Machine Learning Model to predict whether the patient has heart disease or not based on the medical records available for free on the internet. It’s been a while since my last post. I was learning, and thinking about the form of the next post. Should…
Hi, I’m Jacek. 𝗔𝗜-𝗠𝗶𝗻𝗱𝗲𝗱 𝗚𝘂𝘆 – I work with and teach about machine learning – self-taught. I’m interested in machine learning from the technical and mathematical perspective. 𝗠𝗲𝗻𝘁𝗼𝗿, 𝗧𝗿𝗮𝗶𝗻𝗲𝗿 𝗳𝗼𝗿 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 – Helping others to change their current occupation to Junior Java Developer. I hope you will find something interesting on my blog.
Strong, clear, and immediately valuable content. I’m happy to have discovered this gem.