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.
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.
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
Coursera Skills Notebook - IBM capstone Predictive Analysis
Notebook to analyze Lending Club's loan data (2020)
Interactive ML syllable counter.
Smart pricing tool for cars on craigslist
In this project, I analyzed weather data from the NCEI Global Surface Summary of Day dataset using PySpark in Jupyter Notebook. Tasks included data cleaning, statistical analysis, and forecasting for temperature, wind speed, precipitation, and extreme weather events. The project also predicts future weather patterns for Cincinnati and Florida.
Predict Diabetes Progression: A linear regression model to predict diabetes progression using patient attributes. Collaborate to improve predictions. Jupyter Notebook implementation.
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.
Stock market analysis using SK Learn and examples with Python and Jupyter Notebooks.
Analysis and previsions based in a database of the milk market
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