This are the Machine Learning notes by leading AI website named Deeplearning.AI. This notes will help you to be a machine learner from beginner to advanced level. Welcome Everyone!!
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Updated
Jun 1, 2024 - Jupyter Notebook
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
This are the Machine Learning notes by leading AI website named Deeplearning.AI. This notes will help you to be a machine learner from beginner to advanced level. Welcome Everyone!!
Titanic prediction API, this is a data science project which predicts the survival of a person given determined parameters based on a passenger's information.
Project aims to forecast potato prices in India using LSTM, KNN, and Random Forest Regression, integrating historical data on prices, regional stats, and rainfall patterns. Targeting agricultural stakeholders for informed decision-making.
I am a UG2k21 dual degree student at IIIT Hyderabad in the CHD program. This is my attempt to include all my coursework, hoping it might come in handy to others.
This project uses an ensemble of CNN, RNN, and VGG16 models to enhance CIFAR-10 image classification accuracy and robustness. By combining multiple architectures, we significantly outperform single-model approaches, achieving superior classification performance.
A curated list of awesome Machine Learning frameworks, libraries and software. With repository stars⭐ and forks🍴
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Raku package for Machine Learning (ML) clustering algorithms
Machine Learning models that were utilized to predict hotel prices in Saudi Arabia.
Educational notebooks reviewing machine learning models and concepts.
Web app for used car price predictions
cuML - RAPIDS Machine Learning Library
Simple and flexible classical ML module that can be used for recording baseline ML performance.
"Singapore Resale Flat Prices Prediction" likely refers to a project or task focused on forecasting or predicting the future prices of resale flats in Singapore. This could involve leveraging machine learning or statistical models to analyze historical resale flat data and identify patterns or trends that may influence future prices.
Implementations of essential machine learning algorithms from scratch
WQU Capstone Project
Hello everyone this repo will contain my journey of machine learning and DeepLearning with some exciting projects
A sample of an AI-DSS (AI-Desicison Support System) a system that combines AI, data analysis, and decision support capabilities to help individuals or organizations make informed and data-driven decisions. It can be applied across various domains and industries, including healthcare, finance, marketing, supply chain management, and more...
This course covers the applied side of algorithmics in machine learning and deep learning, focusing on hands-on coding experience in Python.
软件工程师、算法工程师、机器学习工程师、数据科学家实践与面试