Land your dream ML job! 🚀 Level up your skills with 100+ real-time Machine Learning projects. Learn by doing & conquer the IT sector! Ready to build the future? 💡 #MachineLearning #MLProjects

🤖 “Not a pro yet🙄, but every small ML project is a step closer to building something BIG 🚀💻 #keeplearning #MachineLearning #AI #100DaysOfCode #BuildInPublic #DataScience #MLProjects #CodingLife #SmartWork #FutureIsAI #ViralBuilds

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📊 Wrapping up today with my final model training! Learned and implemented XGBoost Regressor to predict salaries with a solid R² score on test data. Another step forward in my ML journey! #MachineLearning #XGBoost #DataScience #100DaysOfML #MLProjects #AI #CodingJourney

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#IndependenceDay 🇮🇳 #HappyIndependenceDay #AITraining #MachineLearningTraining #AIProjects #MLProjects #AIML #AITechnology #AIForBusiness #ArtificialIntelligence #MachineLearning #TechTraining #AIIndia #DigitalIndia #FareeshubsTechnologies

Remember these ways to do #FeatureEngineering, perform #SQL-style queries, and how to work with our #Flatline editor. These #DataTransformations will be very useful to prepare your data for your #MLprojects! bigml.com/releases/summe… #MachineLearning #BigML #MLplatform

Cloud platforms like OCI (@Oracle )can significantly accelerate large-scale data operations. /end. #MachineLearning #DataScience #EnergyAnalytics #OracleCloud #AI #MLProjects #ModelValidation #UKEnergy

🌟 Transform Your Final Year Dreams into Reality with ClickMyProject🌟 🔗 website: clickmyproject.com #clickmyprojectmadurai #finalyearprojects #engineeringprojects #iotprojects #javaprojects #pythonprojects #mlprojects #aiapplication #androidproject #webdevelopmentproject

⚡ Latest ML Topics to Power Your M.Phil Research! Supercharge your thesis with cutting-edge Machine Learning (ML) innovations 📞 Ping us today: +91 9465330425 #MachineLearning #MLProjects #MPhilResearch #ThesisHelp #Techsparks #FinalYearProjects #ArtificialIntelligence

GitHub: github.com/tanishapritha/… Built using Python, Streamlit, and deployed on Hugging Face. Which model do you think wins? #MachineLearning #DataScience #Python #MLProjects #Streamlit #huggingface

Ready to Level Up Your Data Game in 2025? Here are the Top 6 Data Projects to make your resume stand out and land your dream job! 💼🚀 #DataScience #MLProjects #CareerGoals #ResumeBuilder #DataAnalytics #MachineLearning #AIProjects #NLP #DashboardDesign #PythonProjects #Tech

📊 PCA on Iris dataset 🔹 4D ➡ 1D & 2D 🧮 Used np.linalg.eig for eigen decomposition ✅ Applied SVC for classification #PCA #MLProjects #UnsupervisedLearning #DataScience #MachineLearning #Python #IrisDataset

🛍️ Ran Apriori Association Rule Mining 📦 Found frequent itemsets from basket data 💡 What a customer buys → What they’re likely to buy next! #Apriori #MarketBasketAnalysis #MachineLearning #AssociationRules #DataScience #RetailAnalytics #MLProjects

🧠 Used Hierarchical Agglomerative Clustering 📊 Mall customer data → Segmented into 5 clusters 📈 Based on income & spending score #Clustering #HierarchicalClustering #CustomerSegmentation #MachineLearning #DataScience #Python #MLProjects

⚡ Built AdaBoost from scratch! 🧠 Step-by-step: Weight samples Train weak classifiers Calculate influence Update weights Repeat 💪 #AdaBoost #Boosting #MachineLearning #Python #MLProjects #DataScience #EnsembleLearning

📊 Used K-Means Clustering for: 👤 Segmenting income groups by age 🌸 Clustering Iris flowers by features — labels known but used only for visual validation #MachineLearning #KMeans #UnsupervisedLearning #Clustering #IrisDataset #MLProjects #DataScience #Python

🤖 Used Naive Bayes Classifier in two tasks: 🌦️ Gaussian NB → Predict if I can play based on weather 📧 Multinomial NB → Classify messages as spam or not spam #MachineLearning #NaiveBayes #SpamDetection #Python #Sklearn #TextClassification #MLProjects #DataScience

🩺 Used KNN on Kaggle’s Diabetes dataset ✅ Model predicts if a patient is diabetic or not 📊 Tuned k by plotting accuracy vs. k values #MachineLearning #KNN #DiabetesPrediction #Kaggle #Classification #Sklearn #MLProjects #Python

🧠 Worked on SVM with: 🌸 Iris Dataset – Binary classification ✍️ Digits Dataset – Multi-class classification (0–9) 📌 Learned how SVM handles both linear & multi-class problems. #MachineLearning #SVM #Classification #Sklearn #IrisDataset #DigitsDataset #Python #MLProjects

🔍 Logistic Regression on: ✔️ Placement data – predict student placement ✔️ UCI German Credit data – credit risk classification ✅ Used accuracy, precision, recall & cost-based evaluation #MachineLearning #LogisticRegression #CreditScoring #DataScience #Python #UCI #MLProjects

📈 Worked on Polynomial Regression with: ✔️ LinearRegression & SGDRegressor ✔️ Scaled features using Pipeline ✔️ Built custom class w/ Gradient Descent ✔️ Evaluated using R² Score #MachineLearning #PolynomialRegression #Python #Sklearn #GradientDescent #MLProjects #DataScience