Welcome to the Machine Learning Hub, your one-stop destination for all things related to machine learning!
Get ready to embark on an exciting journey into the realm of AI and discover how machines can learn and make intelligent decisions. Our blog articles are crafted with simplicity and clarity in mind, making complex machine learning concepts easy to understand for everyone. Whether you’re a beginner or an experienced practitioner, we’ve got you covered with informative and insightful content. Explore the fascinating world of algorithms, models, and data as we delve into supervised and unsupervised learning, reinforcement learning, and more. Discover practical applications in various domains like healthcare, finance, and autonomous vehicles. From introductory guides to advanced techniques, we’re here to help you demystify machine learning and unlock its potential. Join us on this journey as we unravel the secrets of machine learning and empower you to build intelligent systems that can analyze data, make predictions, and drive innovation.
Let’s shape the future together with the power of machine learning!
Image by Editor # Introduction We’ve all heard it: entry-level jobs are dead, Skynet is here, and we should prepare for a global revolution. I know I’m not the only one tired of saying how artificial intelligence (AI) will destroy our careers. What about staying ahead and maybe even monetizing the opportunity? But what does …
perfect. You’re going to encounter a lot of data inconsistencies. Nulls, negative values, string inconsistencies, etc. If these aren’t handled early in your data analysis workflow, querying and analysing your data would be a pain later on. Now, I’ve done data cleaning before using SQL and Excel, not really with Python. So, to learn about …
I Cleaned a Messy CSV File Using Pandas . Here’s the Exact Process I Follow Every Time. Read More »
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to Randomisation In our day-to-day life, we come across several different phenomena that are totally random. The weather is random: sure, we can forecast and predict the weather, but to a certain degree only. Radioactive decay is also an interesting random process that lacks patterns and predictability. Unlike computers that are deterministic and function the …
How to Implement Randomization with the Python Random Module Read More »
Image by Author # Introduction Most people who use artificial intelligence (AI) coding assistants today rely on cloud-based tools like Claude Code, GitHub Copilot, Cursor, and others. They are powerful, no doubt. But there is one huge trade-off hiding in plain sight: your code has to be sent to someone else’s servers in order for …
Top 7 Open Source AI Coding Models You Are Missing Out On Read More »
to analyze your time series as a data scientist?Have you ever wondered whether signal processing could make your life easier? If yes — stay with me. This article is made for you. 🙂 Working with real-world time series can be… painful. Financial curves, ECG traces, neural signals: they often look like chaotic spikes with no …
Image by Author # Introduction I have been hearing stories about Claude Code or Cursor “deleting the database” or wiping out files that people have spent days building while vibe coding. The real issue is usually not the artificial intelligence (AI) itself but the lack of version control. If you are not using Git, all …
its latest LLM: Gemini 3. The model is long-awaited and has been widely discussed before its release. In this article, I’ll cover my first experience with the model and how it differs from other frontier LLMs. The goal of the article is to share my first impressions when using Gemini 3, highlighting what works well …
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Unlock Business Value: Build a Data & Analytics Strategy That Delivers Read More »
you’ll stumble upon when doing AI engineering work is that there’s no real blueprint to follow. Yes, for the most basic parts of retrieval (the “R” in RAG), you can chunk documents, use semantic search on a query, re-rank the results, and so on. This part is well known. But once you start digging into …
How to Build an Over-Engineered Retrieval System Read More »
