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1. Car-Sale-Data Car-Sale-Data Public

   Linear regression model to predict the price of a used car depending on its specifications using Python, Pandas, NumPy, Statsmodels, sklearn and Jupyter Notebooks.

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2. Bank-Data Bank-Data Public

   Logistic regression model that predicts if a client will subscribe a term deposit with a Portuguese bank, using Pandas, Numpy, Statsmodels, Matplotlib, Seaborn, and SciPy.

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3. Iris-Flower-Data Iris-Flower-Data Public

   Iris flower species segmentation exploratory data analysis with K-means clustering using NumPy, Pandas, sklearn, Matplotlib, and Seaborn.

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4. MNIST-Classifier MNIST-Classifier Public

   Deep neural network for handwritten digit recognition with the MNIST dataset, using TensorFlow and Numpy.

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5. ChemSketch ChemSketch Public

   Visualization app in Python for modeling the 3-D structure of molecules based on their molecular formulas.

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6. Uber-EDA Uber-EDA Public

   Exploratory data analysis project using R and ggplot on Uber ride times and bases affecting the amount of customer trips.

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