This project analyzes and visualizes the Used Car Prices from the Automobile dataset in order to predict the most probable car price
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Updated
Jun 13, 2021 - Jupyter Notebook
This project analyzes and visualizes the Used Car Prices from the Automobile dataset in order to predict the most probable car price
Analyzing the safety (311) dataset published by Azure Open Datasets for Chicago, Boston and New York City using SparkR, SParkSQL, Azure Databricks, visualization using ggplot2 and leaflet. Focus is on descriptive analytics, visualization, clustering, time series forecasting and anomaly detection.
While there are so many languages out there, Python is a must-learn programming language for the professionals working in the Data Science domain. There is an increased demand for skilled Data Scientists in the IT industry, and Python has evolved as the most preferred programming language.
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This Repo contains tools that allow us to import, clean, manipulate, and visualize data —Includes Python libraries, like pandas, NumPy, Matplotlib, and many more to work with real-world datasets to learn the statistical and machine learning techniques.
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The dataset having Pneumonia and Normal chest X-Ray images were trained on different numbers of epochs to check the variability in the training and validation accuracies. The ResNet50 model with the highest and closest Training and Validation accuracies was then used for the prediction.
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