Machine Learning Movie Recommendation System with Python

🚢 Titanic Survival Prediction – Machine Learning & Streamlit ✅ Developed and deployed a user-friendly Streamlit web application to predict Titanic survival using Machine Learning, with clear model comparison and performance insights GITHUB LINK : https://lnkd.in/gaptG8kv STREAMLIT.IO LINK : https://lnkd.in/g6R6TwAd #DataScience #MachineLearning #Streamlit #Python #MLProject #LearningJourney #CareerRestart

Built a machine learning regression model to predict California housing prices using XGBoost and evaluated its performance through an actual vs predicted comparison. The project focuses on model training, performance evaluation, and a simple Streamlit interface for making predictions. Tech stack: Python, Pandas, NumPy, Scikit-learn, XGBoost, Streamlit. #MachineLearning #DataScience #Python #XGBoost #Regression #ScikitLearn #Streamlit #LearningByDoing #BuildInPublic

⌛ This was 8 years ago, and if you try Python in Excel it feels like a feature they are still "considering." The real way to integrate Python and Excel is to move your Excel work to Python environments -- NOT jam python functions into your workbook. Python environments can handle larger datasets, faster processing, and more sophisticated AI. This is what we are building at Mito AI. The Excel-user front end for Python/AI workflows 🚀 #AI #Excel #Python #Data #DataScience

🚀 House Price Prediction | Machine Learning Project Built a machine learning regression model to predict house prices using Python. Performed data cleaning, EDA, feature encoding, model training, and evaluation. Tech Stack: Python | Pandas | NumPy | Scikit-learn | Matplotlib | Jupyter Notebook GitHub Project: https://lnkd.in/ggrBHjNM #MachineLearning #DataScience #Python #MLProject #LearningJourney

Built a Movie Recommender System using Machine Learning to understand how large-scale platforms personalize content. . . . Worked on data preprocessing, feature representation, and similarity-based recommendations using Python and Scikit-learn. Developed in Colab, modularized and tested in PyCharm. #MachineLearning #Colab #MovieRecommenderSystems #DataScience #Python #MLProjects #LearningByBuilding

Why Python for AI? Python offers a powerful ecosystem for building intelligent systems. With NumPy for numerical computing, Pandas for data preparation, and Matplotlib for visualization, it enables a smooth transition from raw data to actionable insights. #ArtificialIntelligence #Python #AI #DataScience #FutureofAi

Built an end-to-end machine learning application to predict whether a person is diabetic using clinical health data. The project focuses on data preprocessing with feature scaling, training a Support Vector Machine (SVM) model, evaluating performance on training and test data, and converting the model into an interactive Streamlit web interface for real-time predictions. Tech stack: Python, Pandas, NumPy, Scikit-learn, Streamlit. #MachineLearning #DataScience #Python #Streamlit #ScikitLearn #MLProjects #LearningByDoing #BuildInPublic #AspiringDataScientist

Developed a data-driven real-time availability prediction system using Python, Random Forest, and Streamlit. This project focuses on transforming raw data into actionable insights by predicting availability and supporting smarter booking decisions through machine learning. ✅ Built ML model using Random Forest ✅ Created interactive dashboard using Streamlit ✅ Converted model outputs into real-time decision support Always learning and exploring ways to turn data into impactful solutions! 📊 #MachineLearning #Python #Streamlit #RandomForest #Projects #LearningInPublic

🐍 Python & AI: The Perfect Duo! Just realized how powerful Python is when combined with AI/ML frameworks. Whether you're working with: ✨ LLMs using LangChain or Llama Index ✨ Computer Vision with OpenCV & PyTorch ✨ Building automation bots with Python ✨ Data processing with Pandas & NumPy Python remains the go-to language for AI development. The simplicity of syntax paired with powerful libraries makes rapid prototyping and deployment a breeze. Currently exploring Django REST APIs for AI-powered applications. The possibilities are endless! 🚀 What's your favorite Python library for AI? Let me know in the comments! #Python #AI #MachineLearning #Django #Automation #TechLearning

Mastering machine learning sounds cool until you're buried in math, lost in algorithms, and wondering what Python package you're supposed to install next. If you've ever: - Opened a tutorial and closed it 10 minutes later - Felt like everyone else already gets it - Wondered where you were supposed to start... This blog post can help you. It breaks down the real path to getting started with machine learning using Python. #MachineLearning #Python #AI #DataScience #RheinwerkComputingBlog #RheinwerkComputingInfographic Take your first (or next) step here: https://hubs.la/Q03-nkwR0