Popular GitHub Repositories for Matplotlib Pyplot

The "House Price Prediction" project focuses on predicting housing prices using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, and XGBoost, this project provides an end-to-end solution for accurate price estimation.

? Materiály, Zdrojové Kódy, Prezentácie ku kurzom Python, OOP, R, BI, Data Science, AI/ML, ChatGPT

Pytorch implementation of the "Dermatologist-level classification of skin cancer with deep neural networks" research paper. Smaller dataset supplied by Udacity.

In the banking industry, detecting credit card fraud using machine learning is not just a trend; it is a necessity for banks, as they need to put proactive monitoring and fraud prevention mechanisms in place. Machine learning helps these institutions reduce time-consuming manual reviews, costly chargebacks and fees, and denial of legitimate transactions. Suppose you are part of the analytics team working on a fraud detection model and its cost-benefit analysis. You need to develop a machine learning model to detect fraudulent transactions based on the historical transactional data of customers with a pool of merchants.

A web app providing the probability that a credit card transaction was a fraudulent one.

Image classifier I worked on as part of the 'AI programming in Python' nanodegree at Udacity.

Simple Convolutional-Neural-Network for a multiclass classification problem using PyTorch... work in progress!

A host of data science + machine learning projects with Python, pandas, scikit-learn and more!

Film Junky Union, a new community for classic movie fans is developing a system to filter and categorize movie reviews, and its main mission is to train models to automatically detect negative reviews.

For Text Mining assignment ONE: 1) Perform sentimental analysis on the Elon-musk tweets (Exlon-musk.csv) TWO: 1) Extract reviews of any product from ecommerce website like amazon 2) Perform emotion mining

Unsupervised machine learning models used to group the cryptocurrencies to help prepare for a new investment.

Exemplos práticos

Predicting diabetes risk through machine learning. Explore data, train models, and gain insights. Early detection for better health outcomes.

GoldVision is a time series forecasting project that predicts gold price trends using Facebook Prophet. The project incorporates custom seasonality and advanced visualization techniques to provide accurate forecasts and insights.

This repository contains source code of Tomato Disease prediction using mobilenetv2

In this project we will practice some machine learning workflow to predict a car's market price using its attributes.

Sentiment Analysis using Machine Learning

A repository that contains AI related projects, notes, practice files and documentations.