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portfolio of machine learning projects with k-means, elbow method, dimensionality reduction, and linear regression

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machine_learning_portfolio

Clustering and Segmentation (K-Means, Finding best K, Elbow Method)

  1. Segmenting customer spending proportionate to their annual income.

Principal Component Analysis (Dimensionality Reduction)

  1. Segmenting credit card users into customer segments from credit card balance.

Linear and Logistic Regression

  1. Linear regression of sales to ads sold to predict future sales from ads sold.
  2. Predicting Electricity Generation in Future.
  3. Predicting Room Occupancy from Sensor Data.

Deep Learning (with Keras and TensorFlow)

  1. Classify spam status of e-mails with TensorFlow and Keras.

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portfolio of machine learning projects with k-means, elbow method, dimensionality reduction, and linear regression

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