Dive into the world of image segmentation, where pixels become storytellers. On this journey, I will uncover the secret of how simple pixels become meaningful predictions. Join me and explore the art and science of image decoding. Get ready for a fascinating adventure that demystifies the magic behind images. Let’s go on this enlightening journey together!
Tag Archives: ML Zoomcamp
Exploring Efficiency: Automating Exploratory Data Analysis (EDA) in Python
In the realm of data science, efficiency is key. Automating the process of Exploratory Data Analysis (EDA) in Python has become a game-changer, allowing professionals to focus more on deriving insights rather than getting lost in the preliminary stages of data exploration. By leveraging Python’s powerful libraries such as Pandas, NumPy, and Seaborn, data scientistsContinue reading “Exploring Efficiency: Automating Exploratory Data Analysis (EDA) in Python”
Project Guide – Data Understanding & Data Sourcing (2/2) – Part 5
Precision in Understanding: EDA Techniques A crucial aspect of data understanding involves delving into Exploratory Data Analysis (EDA) which is an approach of analyzing datasets to summarize the containing main features. This entails both numerical and graphical summaries to paint a comprehensive picture of your dataset. Numerical Summaries: Decoding Data Through Numbers Depending on howContinue reading “Project Guide – Data Understanding & Data Sourcing (2/2) – Part 5”
Project Guide – Data Understanding & Data Sourcing (1/2) – Part 4
In our expedition through the realms of machine learning and data science, we’ve traversed the critical phase of “Problem Understanding,” laying the groundwork for the transformative journey that lies ahead. As we transition to the next phase, “Data Understanding and Data Sourcing,” let’s carry forward the insights gleaned from our problem understanding phase. The datasetsContinue reading “Project Guide – Data Understanding & Data Sourcing (1/2) – Part 4”
Project Guide – Problem Understanding – Part 3
In our previous article, we laid the groundwork for a successful machine learning project. We delved into pivotal aspects, ranging from operating systems and GPU support to GitHub repository structuring, shaping the project’s overarching environment. Now, equipped with a well-prepared environment, we’re ready to dive into the heart of the CRISP-DM process – Business Understanding.Continue reading “Project Guide – Problem Understanding – Part 3”
Project Guide – Environment – Part 2
Welcome back to the second part of our machine learning project initiation series! In the first article, we had a quick refresher of CRISP-DM, and I promised we’d start with the first phase – but hold on, let’s backtrack a bit. Setting the Stage for Success Before we jump into the first phase, let’s talkContinue reading “Project Guide – Environment – Part 2”
Project Guide – Introduction – Part 1
Ever found yourself at the exciting crossroads of wanting to start a machine learning project but unsure of where to begin? If so, you’re not alone! This guide is here to help, offering insights that could be particularly beneficial for projects like the midterms or capstone projects featured in Alexey Grigorev‘s exceptional course at DataTalksClub.Continue reading “Project Guide – Introduction – Part 1”
Unleashing the Power of Data: A Comprehensive Guide to ML/DL Datasets
In the ever-evolving landscape of machine learning and deep learning, access to high-quality datasets is a key factor that can make or break a project. Whether you’re a seasoned data scientist or a curious beginner, having a reliable go-to list of datasets is like having a treasure trove at your fingertips. Navigating the Sea ofContinue reading “Unleashing the Power of Data: A Comprehensive Guide to ML/DL Datasets”
ML Zoomcamp 2023 – Project preparation
TensorFlow with GPU support on Ubuntu This article is about how to use GPU support when using TensorFlow on Ubuntu 22.04. I found several manuals how to install NVIDIA’s Toolkit and cuDNN but there was no manual that was completely helpful for my case. I describe here the process for a normal Intel based PCContinue reading “ML Zoomcamp 2023 – Project preparation”
ML Zoomcamp 2023 – Serverless – Part 7
API Gateway: exposing the lambda function In this article we want to take the lambda function which was created in the last article and expose it as a web service. For that we will use API Gateway which is a service from AWS that lets us expose different AWS services as web services including lambdaContinue reading “ML Zoomcamp 2023 – Serverless – Part 7”
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