This repository consists of two models, one from scratch with the help of sklearn, and the other from HuggingFace. Find more info in the README.
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Updated
Jul 16, 2024 - Python
scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
This repository consists of two models, one from scratch with the help of sklearn, and the other from HuggingFace. Find more info in the README.
Some code as an introduction to neural networks
Sklearn, TensorFlow ,Keras and PyTorch models for diverse ML tasks.
Standardized Serverless ML Inference Platform on Kubernetes
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
Implementation of Dynamic Programming Decision Tree algorithm (Kohler et. al. 2024).
Exercises on Machine Learning
ICARO Data Science course content
My computer science master's degree project
Tools for easing the handoff between AI/ML and App/SRE teams.
Discovering energy consumption patterns of residential and commercial users.
Machine learning models aimed at improving loan approval processes using Home Credit Kaggle Dataset
Linear algebra, statistic, EDA with pandas, numpy, statsmodels or SQL etc... what I learned(practiced) today....!
Full stack Data science : How to become a data scientist
In this machine learning project, we will make use of K-means clustering which is the essential algorithm for clustering unlabeled dataset.
A unified framework for tabular probabilistic regression and probability distributions in python
implementation and evaluation of various Artificial Neural Network (ANN) models aimed at automatically classifying Twitter posts as True or Fake based on their veracity.
Created by David Cournapeau
Released January 05, 2010
Latest release 13 days ago