This is the notebook for the titanic dataset in Kaggle. The task is to predict whether a given person id find out whether person is alive or dead.
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Updated
Sep 2, 2021 - Jupyter Notebook
This is the notebook for the titanic dataset in Kaggle. The task is to predict whether a given person id find out whether person is alive or dead.
The notebook shows how deep learning tools (TensorFlow/Keras and PyTorch ) work in practice.
I used this notebook to discuss different supervised learning approaches. In the notebook you can find evaluations of a logistic regression, a K-Nearest-Neighboor, a Support Vector Machine, a Decision Tree and the ensemble methods Random Forest, AdaBoost and XGBoost Classifyer.
This notebook looks into using various python-based machine learning and data science libraries in an attempt to build a ML model capable of predicting whether or not someone has heart disease based on their medical attributes.
Build machine learning model to predict whether a house will sell or not based on a set of features. The results will be presented in the form of interactive widgets in jupyter notebook for technical audience that can be used to make informed decision about selling their properties.
Repository with natural language processing implementations in Jupyter Notebooks
A Jyupter notebook for identifying whether the sound and image belong to the same digit using Convolution Neural Networks (multiple models)
A Jupyter Notebook with the analysis and prediction of Final Grades (Pass/Fail) for students of mechatronics engineering in several mechanic courses.
A series of notebooks on Support Vector Machine algorithm
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