👋 Vincent Warmerdam’s Post

A fantastic tool for when you want to showcase the performance of different classification or clustering models! #machinelearning #datascience

In need of a refresh and fresh inspiration on how to approach data, I revisited and reworked some Machine Learning exercises from my Data Bootcamp. To add an extra layer of perspective, I decided to spice few things up. This weekend's project involves creating a Linear Regression model aimed at accurately predicting the impact of smoking on respiratory ability. Beyond the fascinating scientific insights, this little exercise has helped me reconnect with the foundational principles of Machine Learning and Linear Models. 📚💡 #DataScience #MachineLearning #DataAnalysis" My Github repo for details: https://lnkd.in/grjTe8u4

I decided to try something new this week and perform linear regression manually instead of using a library like Scikit-learn. The process worked surprisingly well and I'm excited to share my experience with you. If you want to try it yourself datatalks.club videos give step by step instructions. https://lnkd.in/exg6Dw4d Or if you want a general introduction to linear regression, check out StatQuest. https://lnkd.in/euuFja6U #mlzoomcamp

Day 31: 🚑 Rescuing the numbers! Delving into the strategies of handling numerical missing data in machine learning with the help of imputing. Time to make the data whole again! 💡📊 #DataScience #MissingData #MachineLearning

Demystifying K-Nearest Neighbors (KNN): A Friendly Approach to Machine Learning Simplify K-Nearest Neighbors (KNN) in a glance. Explore this intuitive machine learning approach that's as easy as asking your neighbors for insights. Elevate your data understanding. Doremon Den #KNN #MachineLearning #DataScience #DataAnalysis #AIExplained #40DaysOfData #DoremonDen #LearnInPublic #DataAnalysis

Navigating the world of machine learning can be complex, but with the right tools, it's a breeze! 🌟 Discover the perfect algorithm for your data science project with this handy Scikit-Learn Cheat Sheet. Whether you're classifying, clustering, or reducing dimensions, this guide helps you find your way with ease. Kickstart your journey through the algorithms with confidence and elevate your machine learning game today! #DataScience #MachineLearning #ScikitLearn #AlgorithmMagic

I am happy to share my project. This house price prediction machine learning model uses Advanced Regression Techniques like *XGBRegressor from the XGBoost, . I have used data sets from Kaggle from the "House Prices - Advanced Regression Techniques "prediction competition. Link to my GitHub Repo => "https://lnkd.in/dpfARCsT"  at hashtag #prodigyinfotech.

Week 6 on DataTalksClub by Alexey Grigorev #mlzoomcamp Outline for the week: Decision Trees and Ensemble Learning - Credit risk scoring project - Data cleaning and preparation - Decision trees - Decision tree learning algorithm - Decision trees parameter tuning - Ensemble learning and random forest - Gradient boosting and XGBoost - XGBoost parameter tuning - Selecting the best model

Interested in data cleaning? Start off your journey with part one of our five-part series! Master the essentials of data quality and machine learning in our program. Learn strategies to manage missing data and dive into foundational linear regression algorithms. https://lnkd.in/gR5rnx7N

From Average to Exceptional: How Ensemble Learning Enhances Accuracy in Predictive Models 📣 Exciting News! 🌟 Check out our latest blog post that explores the power of ensemble learning in enhancing accuracy in predictive models! 📈🔍 Learn how this technique can take your data science and machine learning projects from average to exceptional! 🚀 #DataScience #MachineLearning 🔗 Read the full post here: [From Average to Exceptional: How Ensemble Learning Enhances Accuracy in Predictive Models](https://ift.tt/kZevFSw) https://ift.tt/kZevFSw