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Movie Recommendation Engine

data science & mlFoundation365d access
99onwards

Build a content-based recommendation system using TF-IDF and cosine similarity. Enter a movie, get 5 similar recommendations. Intuition-builder for how embeddings work

  • Understand TF-IDF vectorization and cosine similarity intuitively
  • Build a content-based recommendation engine from scratch
  • Implement a nearest-neighbour search using cosine similarity matrices
  • Connect recommendation logic to an interactive Streamlit UI\

Student Score Predictor

data science & mlFoundation365d access
99onwards

Train a linear regression model to predict student exam scores from study hours, attendance, and test scores. Deploy it as a simple Streamlit app with a prediction form.

  • Build and train a linear regression model using scikit-learn
  • Encode categorical variables and prepare features for ML models
  • Evaluate regression models using RMSE and R² metrics
  • Save a trained model to disk and load it for inference

Exploratory Data Analysis Dashboard

data science & mlFoundation365d access
99onwards

Take a real-world dataset, clean it, explore distributions, correlations, and outliers, and visualize everything in a Streamlit dashboard. The foundation of all data work

  • Load and clean a real-world dataset using pandas
  • Identify and handle missing values, duplicates, and outliers
  • Visualize distributions and correlations using matplotlib and seaborn
  • Build an interactive multi-chart Streamlit dashboard
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