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analysis-of-survey-on-mental-health-in-tech-workplace

To find strongest predictors of mental health illness in the workplace in order to improve the workplace for both employees and employers

bank-note-authentication-using-dnn-tensorflow-classifier-and-randomforest

Data were extracted from images that were taken from genuine and forged banknote-like specimens. For digitization, an industrial camera usually used for print inspection was used. The final images have 400x 400 pixels. Due to the object lens and distance to the investigated object gray-scale pictures with a resolution of about 660 dpi were gained. Wavelet Transform tool were used to extract features from images.

image-processing-using-tensorflow-in-python

The images which we will be working with are black and white images of size 28 x 28 pixels, or 784 pixels total. Our features will be the pixel values for each pixel. Either the pixel is "white" (blank with a 0), or there is some pixel value. We will try to correctly predict what number is written down based solely on the image data in the form of an array. This type of problem (Image Recognition) is a great use case for Deep Learning Methods!

no_show_medical_appointment_project

A person makes a doctor appointment, receives all the instructions and it’s a no-show.

plotly-dashboards-with-dash

This is the repo for the Udemy Course Python Dashboards with Plotly's Dash

spam_detection_using_nlp

used_car_price_prediction

To come up with a model which will predict price of a used Car based on different parameters. People planning to buy/sell used cars can estimate the price more accurately based on the data patterns.