Classification task using supervised learning techniques algorithms: k-NN & decision trees
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Updated
Dec 21, 2023 - Python
Classification task using supervised learning techniques algorithms: k-NN & decision trees
Flask API serving a trained ML model to perform inferences over the input Json.
Applied Data Science Project
The primary goal of this project is to convert free users of a financial tracking app into paid members. This conversion will be achieved by building a model that identifies users who are unlikely to enroll in the paid version of the app.
Applied Data Science Project
📶In this repository, we will do feature engineering with Python.
A two layered LSTM model to solve binary classification problem (positive and negative movie review)
A comparison of a few sample optimization algorithms has been made using the IRIS dataset on Keras and Sklearn frameworks.
One-hot encoding for simple molecular-input line-entry system (SMILES) strings
Unofficial but extremely useful Label and One Hot encoders.
Digit Recognition Neural Network: Built from scratch using only NumPy. Optimised version includes HOG feature extraction. Third version utilises prebuilt ML libraries.
Neural Network using NumPy, V1: Built from scratch. V2: Optimised with hyperparameter search.
Exercises for the "Data Analytics" course, University of Bologna (2021/2022)
Create a machine learning model using logistic regression that can predict credit card approvals from the described dataset.
When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time
Korean OCR Model Design(한글 OCR 모델 설계)
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