All of my PyCaret's notebooks covering both Supervised & Unsupervised Machine Learning.
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Updated
Apr 10, 2021 - Jupyter Notebook
All of my PyCaret's notebooks covering both Supervised & Unsupervised Machine Learning.
Repository containing notebooks and codes submitted in various hackathons.
🎮 Trabalho Prático - Tecnologias para Data Science
How to access time series data from QuestDB Data storage and train a forecasting model using Pycaret Library
Gesture detection from time-series data
Using PyCaret to Predict Apple Stock Prices
EDA and predictions on salary in usd for professionals in the data science field
Machine Learning with Pycaret simple, easy to learn.
Build a Machine Learning model to predict the CTR(click through rate) of an email campaign based on the email campaigning information.
Fack news Detection
Low-code machine learning library in Python - Pycaret
Detecting and Identifying Fraudulent credit card transactions from normal transactions.
This is a Streamlit application that allows users to explore the Washington DC Bike Dataset and showcases the modeling process for predicting the number of users per hour on a given day. The app includes two main sections: exploratory data analysis (EDA) and predictive modeling.
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.
Predição do gasto do plano de saúde com um novo cliente
Breast Cancer detection study with Pycaret library.
Basic EDA, Model
A ML model to predict whether the clients will subscribe to insurance or not.
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
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