Kaggle Kernels (Python, R, Jupyter Notebooks)

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.

Colab notebook solutions of Data scientist competition conducted at Dyuksha

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.

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

[Python] Jupyter's notebook illustrating several methods for analyzing a dataset with the historical results of various lotteries. The example shows how to analyze the linear relationship between individual fields, using the extension of the data set with astronomical data, and shows how to visualize the distribution of numbers at individual pos…

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

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

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

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

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.

In this notebook, I have done Data Cleaning, Data Wrangling, EDA and Feature Engineering. After that I trained the dataset using Machine Learning Algorithm Random Forest Regressor.