🏡 Built a House Price Prediction project using Linear Regression! Learned data preprocessing, feature scaling, model training, and evaluation using MSE, MAE. Great experience applying ML to a real-world problem. #MachineLearning #DataScience #AI #Python # #MLProject Day 45 🚀

Technical Highlights: • ML Pipeline using ColumnTransformer • One-hot encoding scaling • Feature importance extraction • Model serialization with Joblib • Real-time prediction via Streamlit Focused on production-style structure, not just model accuracy. #Python #MLProject

Finished learning Decision Trees and Logistic Regression and built a Titanic Survival Prediction model using Scikit learn. Touched 80 percent accuracy and learned how to evaluate a classifier. Project code here : github.com/CodeSagarrr/AIML-… #MachineLearning #AI #Python #MLProject

👇🚀 Day 61 – 100 Days of Machine Learning Journey Today, I explored Hierarchical Clustering Learn with @geeksforgeeks Nation SkillUp: 👉 Course: geeksforgeeks.org/batch/ds-1… #100DaysOfML #MachineLearning #UnsupervisedLearning #MLProject #DataScience #nationskillup #skillupwithgfg

PROJECT LAUNCH!🚀 I built and deployed an end-to-end Crop Recommendation System using ML! -> This is a basic ML Project From Jupyter Notebook to a live Streamlit app. Check it out:👉crop-recommendation-ml-model… #MLProject #DataScience #Streamlit #AgTech Feedback welcome!👇

世の中のナウでヤングなイケイケPythonista達が次々にuvに乗り換えていくのに、スパコンで機械学習しようとすると今でもMLproject Condaしか汎用的な選択肢がなくて悲しい。まぁハードが速いからソフトが遅くても困らないんだけど、ワイだって湘南の海でuvを乗り回してブイブイ言わせたいんや

Data cleaning and analysis are done. Now, it's time to predict the future. 🔮 Tomorrow, I'm starting my first end-to-end Machine Learning project: predicting house prices using Python and Scikit-learn. Moving from a Data Analyst to a Data Scientist mindset. Any tips for mlproject

Just built a Clickbait Detector! 📰 Enter any headline and see if it’s clickbait or not. Powered by Logistic Regression and Python Flask. Try it here: tinyurl.com/clickbait-projec… #MachineLearning #Python #DataScience #Flask #MLProject

Just built a Spam Detector using ✅ Multinomial Naive Bayes ✅ TF-IDF NLP ✅ Flask API React (Vite) Enter a message → get instant prediction ⚡ Spam or Not Spam? 💬 #MachineLearning #MLProject #ReactJS #SpamClassifier #Flask #NLP

Our latest case study 📋 explains how we ran a tailored machine learning workshop for a client building a data extraction platform for accounting professionals. If you're wondering what kind of value a well-run ML workshop can bring, and how it directly translates into smarter investment 📈 decisions, this article gives you a complete, real-world example. 🔗 Grab your fav ☕️ and enjoy reading: softwaremill.com/before-you-… #MachineLearning #workshop #MLProject

AI Music Composer Progress 🎶 ✅ 200 tracks labeled (happy/sad/angry/relaxed) ✅ 30 features extracted (MFCC, Chroma, etc.) ✅ Trained Random Forest mood classifier ✅ Auto-labeling MIDI files complete Next: LSTM for mood-based music gen! 🎹 #AI #DeepLearning #Python #MLProject

Life is easy with @cursor_ai Pro 💻 I created a full ML project plan in just seconds - as per my client requirement. Have you ever used Cursor to design a project architecture ? #AItools #CursorAI #MLproject #DeveloperLife #Freelancer #Freelancing

Project Completed: Diamond Price Predictor – Powered by Machine Learning 💎 I just wrapped up a full-stack machine learning project where I built and deployed a Diamond Price Predictor using the 4C framework — Carat, Cut, Color, and Clarity. 📊 What I Did: - Performed Exploratory Data Analysis to understand relationships in the dataset - Engineered features and cleaned data for better model performance - Trained an Ensemble Model (Random Forest XGBoost) for price prediction - Deployed the interactive app using Streamlit 💡 This project helped me deepen my skills in feature engineering, regression modeling, and ML deployment. 🔗 Live App:  submissions-teamoluwatunmise… 🔧 GitHub Repo: github.com/apostleoffinance/… If you're into machine learning, data science, or just curious about diamonds, check it out and let me know your thoughts! #MachineLearning #DataScience #Streamlit #Regression #MLProject #DiamondPricing #XGBoost #RandomForest #Quant

🐑The final data collection for the Merino Lifetime Productivity project wrapped up in August 2024! Nearly 10 years & 2,000,070 data points collected. Full analysis is now underway! Stay tuned for insights 🔍 merinosuperiorsires.com.au/c… #merino #SheepBreeding #MLProject

#LSPPDay25: Finalized & Deployed a Movie Recommendation System on TMDB 5000 dataset. Try it here: 👉movie-recom-sfl.streamlit.ap… Also took a lesson on Applying logistic regression & SVM. #60DaysOfLearning2024 #LearningWithLeapfrog #buildinginpublic #mlproject #movie @lftechnology

Built an End-to-End ML project, Spam-Message-Detector The source code with Dockerfile is available here: github.com/arihant1805/Spam-… #MLproject

Day 116 of #100DaysOfCode MLProject - 2: 📌Wrote Preprocessing script for Inference Pipeline. 📌Configured Inputs and Outputs for the inference pipeline and wrote some unit test for it.

Days 57-58: My college put some constraints on my minor project, making it impossible to do a full-stack project. So, I had to switch into MLproject. It is quite a challenge! DSA - continued my journey with recursion in that i learnt quick sort #100DaysOfCode #DSAWithKunal #ML

MLProject （@M_live_project） さんのプレミア配信「Special Summer Radiant【1部】【なぁぁ..」をツイキャス公式ストアで購入！ ssl.twitcasting.tv/m_live_pr…

Guys , watch out my new video on ML project on YouTube youtu.be/Oqr0YH6zRQY #MachineLearning #python #googlecollab #mlproject #regression