Exercises on Machine Learning
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Updated
Jun 1, 2024 - Jupyter Notebook
scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
Exercises on Machine Learning
[scikit-learn Free Tutorials]-scikit-learn is a Python library for machine learning. It provides a wide range of algorithms and tools for data mining and analysis. In this skill tree, you'll learn how to use scikit-learn to build machine learning models in Python.
[Sklearn Practice Challenges]-This course contains lots of challenges for Sklearn, each challenge is a small Sklearn project with detailed instructions and solutions. You can practice your Sklearn skills by solving these challenges, improve your problem-solving skills, and learn how to write clean a
[Sklearn Practice Labs]-This course contains lots of labs for Sklearn, each lab is a small Sklearn project with detailed guidance and solutions. You can practice your Sklearn skills by completing these labs, improve your coding skills, and learn how to write clean and efficient code.
CareX is a comprehensive web app designed to empower you to take charge of your well-being, focusing on aspects that you can actively control. It supports both physical and mental health by providing personalized guidance on balanced nutrition and in-home yoga practices to help you rediscover inner peace.
Tools for easing the handoff between AI/ML and App/SRE teams.
Here are the assignmnets for the course Data Science Masters 2.0
A scikit-learn-compatible module for estimating prediction intervals.
HR application to predict if an employee is about to quit
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Standardized Serverless ML Inference Platform on Kubernetes
Web application to train sklearn ML models
Developed student performance predicting model, showing strong understanding of predictive modeling techniques.
Open-source Intrusion Detection System (IDS) designed to monitor and detect security threats on Windows, Linux, and macOS systems. The IDS includes both Host-based Intrusion Detection (HIDS) and Network-based Intrusion Detection (NIDS) components, providing comprehensive coverage for detecting and mitigating various types of cyber threats.
Linear algebra, statistic, EDA with pandas, numpy, statsmodels or SQL etc... what I learned(practiced) today....!
AI model for summarizing and categorizing news articles
首届社交群体智能算法大赛 【赛题1:社交媒体舆论场虚假账号检测】第三名(0.8248)方案
Created by David Cournapeau
Released January 05, 2010
Latest release 11 days ago