Psyplot plugin for visualizing and calculating regression plots

📜 🎉 Automated reporting of objects in R

📗 This repository provides an in-depth exploration of the predictive linear regression model tailored for Jamboree Institute students' data, with the goal of assisting their admission to international colleges. The analysis encompasses the application of Ridge, Lasso, and ElasticNet regressions to enhance predictive accuracy and robustness.

Criando modelos com Python para prever a evolução do Covid-19 no Brasil

Explore a comprehensive collection of Python programming for diverse data analysis and data science projects. This repository covers data exploration, visualization, statistical analysis, machine learning, NLP, and model deployment. Perfect for enthusiasts looking to delve into practical examples and advanced techniques.

The most common thyroid disorder is hypothyroidism. Hypo- means deficient or under(active), so hypothyroidism is a condition in which the thyroid gland is underperforming or producing too little thyroid hormone.. Recognizing the symptoms of hypothyroidism is extremely important.

Jupyter notebooks, accompanying the FinDS Python repo: contains code examples and results for 30+ financial data science projects

A taxi company called Sweet Lift has collected historical data on taxi orders at the airport and they need to predict the number of taxi orders for the next hour.

In this project, we aim to predict whether a particular customer will switch to another telecom provider or not, a process referred to as churning and not churning in telecom terminology.

This project involves a case study of a real estate company with a dataset containing property prices in the Delhi region. The goal is to optimize the sale prices of properties based on important factors such as area, bedrooms, parking, etc.

Analysis will help Jamboree in understanding what factors are important in graduate admissions and how these factors are interrelated among themselves. It will also help predict one's chances of admission given the rest of the variables.

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

This repository contains a collection of labs that explore various machine learning algorithms and techniques. Each lab focuses on a specific topic and provides detailed explanations, code examples, and analysis. The labs cover clustering, classification and regression algos, hyperparameter tuning, data-preprocessing and various evaluation metrics.

Python Scripts and Jupyter Notebooks for Prof. Robert Wrobel's Applied Business Statistics course at Webster University and anybody else who wants to learn!

Data Science DRY OOP Umbrella Library

Statistical Modeling with Python

This repo contains the project jupyter notebooks and data files to view and re-run my analysis of the flight data.

Forecast Bitcoin daily closing prices using a Python repository featuring regression and time series models. From Linear and Polynomial Regression to ARIMA, gain insights into cryptocurrency trends. Visualize historical data, evaluate models with key metrics, and analyze residuals for validation

Projets du parcours Data Analyst OpenClassrooms