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Data scientists looking for their first machine learning or data science project begin by trying the handwritten digit recognition problem. The Digit Recognizer data science project makes use of the popular MNIST database of handwritten digits, taken from American Census Bureau employees. The dataset consists of already pre-processed and formatted 60,000 images of 28x28 pixel handwritten digits. With the use of image recognition techniques and a chosen machine learning algorithm, a program can be built to accurately read the handwritten digits with 95% accuracy. The accuracy rate can be higher based on the chosen machine learning algorithm,
In this machine learning project , you will predict the total travel time of taxi trips from their initial partial trajectories.
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.
Data Science Project-Predict the car insurance policy a customer buys after receiving a number of quotes.