Unsupervised anomaly detection in vibration signal using PyCaret vs BiLSTM
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Updated
Feb 20, 2024 - Jupyter Notebook
Unsupervised anomaly detection in vibration signal using PyCaret vs BiLSTM
Using PyCaret to Predict Apple Stock Prices
Python Phishing URL Detection
Real time streaming of a time series with corresponding forecasts.
All of my PyCaret's notebooks covering both Supervised & Unsupervised Machine Learning.
This is the Streamlit web application that allows users to upload a dataset, generate an automated exploratory data analysis (EDA) report using the pandas-profiling library, and and train a machine learning model for regression or classification tasks.
This repository contains a practice streamlit app that automatically builds, trains and downloads(optional) the best performing machine learning model
Testing PyCaret, Fugue, and Dask
Utilizes pycaret to automates machine learning workflows (Deployed at streamlit)
How to access time series data from QuestDB Data storage and train a forecasting model using Pycaret Library
Our project leverages Python, pandas, Tableau, and machine learning techniques to analyse and predict student outcomes in higher education. Using a comprehensive dataset, we employ data preprocessing, visualisation with Tableau, and advanced machine learning models built with Python to uncover insights into graduation rates and factors influencing
Analyzed large-scale patient data from multiple sources, including electronic health records. Developed a predictive model with high accuracy, for early disease detection using 6 ML algorithms in model.
CatBoost regressor for Predicting alcohol level based on chemical properties of the white wine
EDA and predictions on salary in usd for professionals in the data science field
Titanic: Machine Learning from Disaster - Predict survival on the Titanic - Automation for EDA and Modelling
Repository containing notebooks and codes submitted in various hackathons.
Basic EDA, Model
Detecting and Identifying Fraudulent credit card transactions from normal transactions.
🎮 Trabalho Prático - Tecnologias para Data Science
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