Machine Learning
Projects

You will find my recent machine learning projects here.

DIABETES PREDICTION MODEL

In this project i build a simple deep leaning model with Keras, trained the model, evaluated the model and use the model to make prediction.
Steps:

  • Load Data
  • Define Keras Model
  • Compile Keras Model
  • Fit Keras Model
  • Evaluate Keras Model
  • Make Predictions

ACCIDENTS RISK Prediction

For public safety, precautions are necessary to avoid accidents. In 2016, the United States' National Highway Traffic Safety Administration (NHTSA) records show that 37,461 people were killed in 34,436 motor vehicle crashes, an average of 102 per day. Therefore accident risk prediction models can help in saving lives and improving road safety

Solving Classification Problem with logistic Regression

    Problem Statement:

  • As the administrator of a university department and I want to determine each applicant's chance of admission based on their results on two exams.
  • I have historical data from previous applicants that I can use as a training set for logistic regression. For each training example, I have the applicant's scores on two exams and the admissions decision.

Task: Build a classification model that estimates an applicant's probability of admission based on the scores from their two exams

Solving Classification Problem with Regularized logistic Regression

    Problem Statement:

  • As the product manager of the factory and I have the test results for some microchips on two different tests.
  • To help me make the decision, I have a dataset of test results on past microchips, from which I can build a logistic regression model.

Task: Implement regularized logistic regression to predict if microchips from a fabrication plant passes quality assurance. The model should help determine whether microchips should be accepted or rejected.