Kaggle Kernels (Python, R, Jupyter Notebooks)

[Python] A Jupyter notebook illustrating methods for analyzing a historical lottery results dataset. The example demonstrates assessing linear relationships between variables, incorporating astronomical data, and visualizing number distributions.

SO2 Emission Prediction from Diesel Engines with Quantum Technology (5G). A worldwide study has been conducted on the emission values of SO2 gases released from diesel engines in the world.

A basic machine learning model built in python jupyter notebook to classify whether a set of tweets into two categories: racist/sexist non-racist/sexist.

Demonstrating usage of Python and R in Jupyter Notebooks for data cleaning, manipulation, exploration, visualization, and modeling.

This repository contains detailed notes and annotations regarding the python notebooks in the Machine Learning A-Z Udemy Course.

Colab notebook solutions of Data scientist competition conducted at Dyuksha

Predicting Valorant game winners using machine learning.

Notes on Biostatistics. cpg and codes . this is a biostatistics book

Notebooks for studying some machine learning models

Various Jupyter Notebooks for a Kaggle Competition

Notebook to analyze Lending Club's loan data (2020)

Interactive ML syllable counter.

Smart pricing tool for cars on craigslist

This is jupyter notebook for House Price Prediction advanced problem in Kaggle

This repository consists of machine learning notebooks and pre-requisites for model-building.

This is a machine learning project for predicting employee Attrition also known as employees Chun for predicting the employees who will leave and stays with a company

Predict Diabetes Progression: A linear regression model to predict diabetes progression using patient attributes. Collaborate to improve predictions. Jupyter Notebook implementation.

This notebook utilizes historical data from taxi trips in New York to train a model that predicts the customers' tip amount.

In this notebook, I'm using this dataset called 'flight-price-prediction', which contains the traveller information.In this notebook, I'm trying to run a dummy variable regression model at first, and after that, I'm trying to build a supervised ML Model with higher accuracy of predation.