- Repository containing portfolio of Data Science projects completed by me for academic, self learning, and hobby purposes. Presented in the form of Python file .py and Jupyter Notebook (.ipynb).
- What things you need to install the software and how to install them
Python 3, TensorFlow 1.1, NumPy, Pandas
- The project above touches on the basics of building a recomendation model. From the MovieLens dataset, we perform extensive data processing, data analysis, handle imbalaced data, imputation and finally use Collaborative Filtering to do the prediction.
Collaborative Filtering, Matrix Factorization, Support Vector Machines (SVM)
- The project above touches on the basics of building a recomendation model. Similar to above, the prediction model is done my using a single-pass Neural Network using a Softmax model to output the probability distribution.
- Creating a prediction model using Machine Learning to detect if any particular transaction is fradulent or not.
- All the files above can be run using Google Colab with GPU runtime. This project is licensed under the MIT License.