Working on small dataset which has 26k records.
-
Updated
Nov 6, 2021 - Jupyter Notebook
Working on small dataset which has 26k records.
Projeto final tcc
Extract data from New York times driven data for a future research.
dimensionality Reduction with python- bioinformatic
Analysis of Denver crime records from January 2018- October 2023
DeepLeaf: CNN-based potato disease classification. Utilizes TensorFlow, Keras, and FastAPI. Frontend designed with HTML/CSS/JS. Android app (PotatoPathoGuard) developed in Android Studio. Enables precision agriculture through on-device disease detection.
The objective is to design a machine learning model capable of accurately counting repetitions and classifying weightlifting exercises based on data collected from accelerometer and gyroscope sensors. The project began with meticulous data collection and preprocessing to ensure suitability.
This repository contains a collection of lab experiments for the Machine Learning course offered. Each experiment is designed to provide hands-on experience with various machine learning concepts and techniques. The experiments are primarily conducted using Python and its popular libraries for machine learning and data analysis.
End-to-end project to predict and segment customers. (clustering problem)
This project aim to classify real time facial emotion recoginition to either of one of the universal seven emotions using Deep convolutional neural network(CNN) learning and openCv
This sniper bot on the Solana network specializes in swiftly buying 'shitcoins' while spotting tokens poised for growth.
Add a description, image, and links to the jup topic page so that developers can more easily learn about it.
To associate your repository with the jup topic, visit your repo's landing page and select "manage topics."