Top Tweets for #MLProject
π Interns Required @ YBI Foundation ππ» - Open for all college students (π« No Experience Needed)
πApply Link - https://t.co/qonFdt1Lmx
π (+91) 9667987711
π§ [email protected]
#Internship2026 #Ybifoundation #python #trending #Ybi #ai #mlproject #analytics #ml
π Urgent Hiring - Kickstart your career with our 45 Days Internship Programππ»
πApply Link - https://t.co/kZLpFEIetY
For any query, π (+91) 9667987711 or π§ [email protected]
#Internship2026 #Ybifoundation #Python #Ybi #Ai #mlproject #DataScience
π Sat, 16 May 7:00pm π―Join FREE Online Project Workshop
Inventory Demand Forecasting using Machine Learning
πApply Now - https://t.co/vpAkRPQQH2
π9667987711
π§ [email protected]
#mlproject #machinelearning #certificate #ybi #ybifoundation
Mastery Age & Gender Detection Using DNN & OPENCV Project
β±οΈ 39 mins
β 4.23
π₯ 6,409
π May 2025
π° $17.99 β 100% OFF
https://t.co/3CD5XSdxgD
#OpenCV #DeepLearning #MLProject #udemy
Technical Highlights:
β’ ML Pipeline using ColumnTransformer
β’ One-hot encoding + scaling
β’ Feature importance extraction
β’ Model serialization with Joblib
β’ Real-time prediction via Streamlit
Focused on production-style structure, not just model accuracy.
#Python #MLProject
Machine learning can predict future product demand using historical data β helping businesses plan smarter and reduce losses ππ€
https://t.co/s0uIGb5h8l
#MachineLearning #DemandForecasting #PredictiveAnalytics #AI #DataScience #MLProject
Build a Language Detection ML project in Python that can automatically identify languages using machine learning and NLP β perfect for real-world text classification! π https://t.co/2LAf5uaVAQ
#MachineLearning #NLP #LanguageDetection #Python #AI #DataScience #MLProject
Just finished a small end-to-end beginner project! π
Built a simple Forest Fire FWI Predictor using ML + Flask and deployed it on Vercel π₯π²
Try it here π
https://t.co/yguT9U04hC
Still learning step by step π
#EndToEnd #BeginnerProject #Python #Flask #MLProject
π§ New video alert! I trained 7 ML models to predict road accident severity using SMOTE, XGBoost & SHAP. π Confusion matrices π Feature importance π Explainable AI with SHAP Watch now π https://t.co/EZjWshW0dK #MachineLearning #DataScience #XGBoost #SHAP #SMOTE #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 : https://t.co/I8w6jRAzP9
#MachineLearning #AI #Python #MLProject
ππ Day 61 β 100 Days of Machine Learning Journey
Today, I explored Hierarchical Clustering
Learn with @geeksforgeeks Nation SkillUp:
π Course: https://t.co/WEOoRR2CvF
#100DaysOfML #MachineLearning #UnsupervisedLearning #MLProject #DataScience #nationskillup #skillupwithgfg
π Used Kaggle data to predict pizza prices !!!
πΉ Cleaned & encoded data / EDA
πΉ Trained models: Linear, SVM, RF, GB, XGBoost
πΉ Diameter & Size, most impactful features
- will tune parameter !
#MachineLearning #DataScience #Regression #XGBoost #Kaggle #Python #AI #MLProject
Built a simple baseline model - Never1Classifier - that never predicts β1β.
Surprisingly, it achieves ~91% accuracy.
A reminder that high accuracy doesnβt always mean good performance. #MLProject #Python #ScikitLearn
PROJECT LAUNCH!π 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:πhttps://t.co/v3Utbsgefv
#MLProject #DataScience #Streamlit #AgTech
Feedback welcome!π
Can your model predict whoβs leaving next? ππ‘
Letβs use a Neural Network to predict customer churn! π€
Training Accuracy: 87% βοΈ
Validation Accuracy: 85% π₯
still improving !!
#DeepLearning #NeuralNetworks #AI #MachineLearning #Keras #TensorFlow #DataScience #MLProject #AI
Learning highlight: small changes in data splits can impact resultsβunderstanding variance matters!
repo [https://t.co/0XRa0koQcQ]
#MachineLearning #DataScience #Regression #Python #MLProject
Building something fun: Dog Harness Size Predictor
Turning data into real-world pet solutions β let me show you what Iβve got so far
#MLProject #PythonProject #PortfolioProject
πΈIris Flower Classification with Machine Learning
πBuilt a logistic regression model to classify Iris flowers into species.
β
Achieved 97% accuracy on unseen data!
πExplore the code here:
https://t.co/tpYcxWIrnV
#MachineLearning #DataScience #Python #MLProject #X #developer
Just built a Clickbait Detector! π°
Enter any headline and see if itβs clickbait or not.
Powered by Logistic Regression and Python Flask.
Try it here: https://t.co/s5q2ZeyoH8
#MachineLearning #Python #DataScience #Flask #MLProject
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