a Wide Shelf for AI and Data Science | Resources 🍔
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Updated
Jun 29, 2023
a Wide Shelf for AI and Data Science | Resources 🍔
Advanced NLP Workshop: word-sense disambiguation with RoBERTa and text summarization with BART (Machine Learning Milan)
Visualizing Gradient Descent with Momentum in Python
SPPU BE COMP LP3 Codes - Machine Learning (ML) and Information and Cyber Security (ICS)
Being the most common and rapidly growing disease, Diabetes affecting a huge number of people from all span of ages each year that reduces the lifespan. Having a high affecting rate, it increases the significance of initial diagnosis. Diabetes brings other complicated complications like cardiovascular disease, kidney failure, stroke, damaging th…
This repository contains CryMLClassifier, a machine learning model that classifies baby cries into five categories. It utilizes 193 features extracted from the cry audio data, achieving high accuracy with Random Forest and XGBoost algorithms. The repository includes a "features_extraction" folder for feature extraction code samples.
Lets Grow More Virtual Internship Program(LGMVIP) Beginner level tasks as a Data Science Intern March-22
MetroPT-3 Anomaly Detection using Machine Learning and Deep Learning
The global fashion industry is valued at three trillion dollars and accounts for 2 percent of the world's. GDP the fashion industry is undergoing a dramatic transformation by adopting new computer vision and Machine learning and deep learning techniques. In this case study we'll look at a hypothetical situation. We assume that if a retailer hire…
Repository for The projects that i completed that was assigned in the nanodegree course.
Google BigQuery Tutorial
Lead classification using python and logistic regression.
Machine Learning Model to classify whether a Mushroom is Edible or Poisonous by its features
写过的深度学习文章以及翻译的文章等
This project involves predicting which passengers survived the Spaceship Titanic disaster. Utilizing various machine learning techniques, I analyze data to develop and evaluate models, ultimately contributing to a competitive ranking on Kaggle.
This system utilizes Optical Character Recognition (OCR) extracts text, while computer vision techniques map document layout. Then, SIFT (Scale-Invariant Feature Transform) cleverly matches documents to pre-defined templates, even with variations. This intelligent matching helps identify potential fraud for further investigation.
A machine learning solution to forecast sales for Rossmann Pharmaceuticals' stores across various cities six weeks in advance. Factors like promotions, competition, holidays, seasonality, and locality are considered for accurate predictions.
An end-to-end project which includes statistical analysis and price prediction of the laptops available in June 2022.
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