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@bolaboyega: Nobody knows tomorrow?๐โโ๏ธ๐ฅ #kltp #kidolikestoparty #ondo #fyp #viral
โKLTPโOCTOBER 30๐จ๐
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Region: NG
Thursday 29 October 2026 20:46:23 GMT
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ๅใปใปๅ๐ด๐ค and 35,569 others :
Active jhor ๐โ๐ฟ
2026-10-30 00:26:31
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๐ฆน ๐ฎโด๐๐๐ฝ๐ ๐ฎ๐ถ๐โโด๐๐๐ฆน :
Una be sly ๐ก I con comot finish ๐ญ
2026-10-29 21:24:48
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Unete al bando#nova#๐ฅท๐๐๐๐ฅท
#CapCut #Z #views
๐ 3 MACHINE LEARNING PROJECTS YOU CAN BUILD IN ONE WEEKEND No months of preparation. No complicated research papers. Pick a dataset, build a model, evaluate it, and turn it into a working project. ๐ป 1๏ธโฃ CUSTOMER CHURN PREDICTOR ๐ Problem: Predict which customers are likely to stop using a service. Build these features: โ Clean and explore customer data โ Train Logistic Regression and Random Forest โ Compare Precision, Recall, and F1-Score โ Explain important features using SHAP โ Create an interactive Streamlit dashboard Tech Stack: Python, Pandas, Scikit-learn, SHAP, Streamlit ๐ฏ Portfolio upgrade: Explain why a customer may leave and suggest retention actions. 2๏ธโฃ HOUSE PRICE PREDICTOR ๐ Problem: Estimate property prices using features such as location, size, and number of rooms. Build these features: โ Analyze price distributions โ Handle missing values and outliers โ Encode categorical variables โ Train Linear Regression and Random Forest โ Evaluate with MAE, RMSE, and Rยฒ โ Build a simple price prediction interface Tech Stack: Python, Pandas, Scikit-learn, Matplotlib, Streamlit ๐ฏ Portfolio upgrade: Compare model predictions with actual prices and explain prediction errors. 3๏ธโฃ CREDIT CARD FRAUD DETECTOR ๐ณ Problem: Identify potentially fraudulent transactions. Build these features: โ Explore class imbalance โ Establish a baseline model โ Compare Logistic Regression and Random Forest โ Test class weighting or resampling โ Evaluate Precision, Recall, and PR-AUC โ Display suspicious transactions in a dashboard Tech Stack: Python, NumPy, Pandas, Scikit-learn, Streamlit ๐ฏ Portfolio upgrade: Explain why accuracy alone can be misleading when fraud cases are rare. ๐๏ธ YOUR WEEKEND BUILD PLAN SATURDAY * Morning: Dataset + data cleaning * Afternoon: EDA + feature engineering * Evening: Train baseline models SUNDAY * Morning: Evaluate + improve the model * Afternoon: Build the interface * Evening: Write README + upload to GitHub ๐ฅ THE SECRET TO A STRONG ML PORTFOLIO Donโt just upload a notebook. Include: โ Problem statement โ Dataset source โ Reproducible code โ Evaluation metrics โ Error analysis โ Working demo โ GitHub README One weekend. One finished project. One more piece of proof that you can build with ML. Save this roadmap and choose your first project. ๐ #MachineLearning #MLProjects #DataScience #creatorsearchinsights #datascience
Gokil update nya! Bisa belajar sihir dan banyak misi yang seru! Game : Play Together VNG #PlayTogetherVNG #MobileGame #roblox #Gaming #games
#apertsyndrome #healthjourney #keepfighting #storytime #fyp
ุงูุฐููู ุงููู ูุฐูู ู ุงูุนุฒูุฒ ุงููู ูุนุฒู๐๐ป #ุงูุณุจููุฑ
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