Data Science Portfolio - Kaggle Datasets & AI Projects | Artificial Intelligence

Real-world Data Science projects ideas: 💡📈 1. Credit Card Fraud Detection 📍 Tools: Python (Pandas, Scikit-learn) Use a real credit card transactions dataset to detect fraudulent activity using classification models. Skills you build: Data preprocessing, class imbalance handling, logistic regression, confusion matrix, model evaluation. 2. Predictive Housing Price Model 📍 Tools: Python (Scikit-learn, XGBoost) Build a regression model to predict house prices based on various features like size, location, and amenities. Skills you build: Feature engineering, EDA, regression algorithms, RMSE evaluation. 3. Sentiment Analysis on Tweets or Reviews 📍 Tools: Python (NLTK / TextBlob / Hugging Face) Analyze customer reviews or Twitter data to classify sentiment as positive, negative, or neutral. Skills you build: Text preprocessing, NLP basics, vectorization (TF-IDF), classification. 4. Stock Price Prediction 📍 Tools: Python (LSTM / Prophet / ARIMA) Use time series models to predict future stock prices based on historical data. Skills you build: Time series forecasting, data visualization, recurrent neural networks, trend/seasonality analysis. 5. Image Classification with CNN 📍 Tools: Python (TensorFlow / PyTorch) Train a Convolutional Neural Network to classify images (e.g., cats vs dogs, handwritten digits). Skills you build: Deep learning, image preprocessing, CNN layers, model tuning. 6. Customer Segmentation with Clustering 📍 Tools: Python (K-Means, PCA) Use unsupervised learning to group customers based on purchasing behavior. Skills you build: Clustering, dimensionality reduction, data visualization, customer profiling. 7. Recommendation System 📍 Tools: Python (Surprise / Scikit-learn / Pandas) Build a recommender system (e.g., movies, products) using collaborative or content-based filtering. Skills you build: Similarity metrics, matrix factorization, cold start problem, evaluation (RMSE, MAE). 👉 Pick 2–3 projects aligned with your interests. 👉 Document everything on GitHub, and post about your learnings on LinkedIn. Here you can find the project datasets: https://whatsapp.com/channel/0029VbAbnvPLSmbeFYNdNA29 React ❤️ for more