Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
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Updated
Nov 3, 2023 - Python
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Learning to create Machine Learning Algorithms
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
A machine learning project that predicts results of a football match
Machine learning approach to detect whether patien has the diabetes or not. Data cleaning, visualization, modeling and cross validation applied
一个文本分类的项目,这个项目实现了三种文本分类的方法,从一开始的随机森林,到fasttext,最后是基于BERT预训练模型训练出自己的文本分类模型;还包括模型的压缩,比如模型量化,模型蒸馏等操作;是一个完整的项目
This project detects whether a news is fake or not using machine learning.
AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset
Final Year Project on Road Accident Prediction using user's Location,weather conditions by applying machine Learning concepts.
Detect Fraudulent Credit Card transactions using different Machine Learning models and compare performances
ExeRay AI detects malicious Windows executables using ML. Analyzes entropy, imports, and metadata for rapid classification, aiding incident response. Built with Python and scikit-learn.
AI Powered Smart Farming Assistant uses advanced technology, including machine learning and CNNs, to provide farmers with crop recommendations, disease identification, weather forecasts, fertilizer recommendation, and crop management guidance through a user-friendly web app.
An AI-driven platform offering crop recommendations, fertilizer suggestions, and disease detection for optimal farming
A machine learning web application use to predict chances of heart disease, built with FLASK and deployed on Heroku.
Some example projects that was made using Tensorflow (mostly). This repository contains the projects that I've experimented-tried when I was new in Deep Learning.
This is a Malware Detection ML model made using Random Forest Algorithm
Modular full-stack ML project leveraging Groq API, Streamlit, Supabase, JSON, SciPy, SciKit-Learn, Plotly & EmailJS, alongside libraries - NumPy, Pandas, Utils, OS, Base64, Re, Pillow & DateTime.
Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.
Natural Language Processing for Multiclass Classification: A repository containing NLP techniques for multiclass classification of text data.
A simple machine learning model for small-molecule target prediction in Python.
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