Standardized Serverless ML Inference Platform on Kubernetes
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Updated
Jun 12, 2024 - Python
scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
Standardized Serverless ML Inference Platform on Kubernetes
Here I will publish my developments in Machine learning area.
Full stack Data science : How to become a data scientist
Machine Learning tasks involving the Titanic Dataset and Breast Cancer Wisconsin (Diagnostic) dataset
Tools for easing the handoff between AI/ML and App/SRE teams.
Linear algebra, statistic, EDA with pandas, numpy, statsmodels or SQL etc... what I learned(practiced) today....!
To detect heart disease using machine learning
A unified framework for tabular probabilistic regression and probability distributions in python
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
In this machine learning project, we will make use of K-means clustering which is the essential algorithm for clustering unlabeled dataset.
Exercises on Machine Learning
The project consists of a Multi-Label Text Classifier project using a Random Forest Classifier with MultiOuputClassifier from Sklearn.
Comparing the performance of MLP (multilayer perceptron) and CNN (convolutional neural network) on USPS dataset and visualizing it via TensorBoard.
Machine Learning inference engine for Microcontrollers and Embedded devices
Designed and implemented a robust big data pipeline to store real-time streaming sensor readings in MongoDB using Confluent Kafka. Leveraged this data to create an end-to-end AI-powered application that can help reduce the unnecessary costs incurred while repairing heavy-duty trucks.
ICARO Data Science course content
[Ruby] Read the dictionary file and data manipulation. 📚
Product recommendation system using Python and FastAPI
Feature selection with Firefly Algorithm
Created by David Cournapeau
Released January 05, 2010
Latest release 22 days ago