Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

Jupyter notebooks with examples of statistical methods and analyses using R.

Simple datasets and notebooks for data visualization, statistical analysis and modelling - with write-ups here: https://projectosyo.wixsite.com/datadoubleconfirm.

Jupyter notebooks containing explanation of Machine Learning Algorithms

This R Studio Markdown aims to analyze data from 2020 of FBI's Hate Crime Statistics with various key parameters as control variables and defend hypotheses about hate crimes and bias motivation.

notebooks

A Statistical Inquiry into 100K Di-electron Collision Events from the Compact Muon Solenoid (CMS) experiment at CERN Large Hadron Collider (LHC)

Repositorio personal de Notebooks de apuntes del curso: Estadística y herramientas computacionales para análisis de datos. Last updated: 06/27/2022

This repository will contain some of my solution notebooks for popular ML Datasets

Data science encompasses a wide range of areas, topics, and sub-domains such as Big Data, Machine & Deep learning (ETL, TensorFlow, Keras), Data Mining/Visualization (EDA), BI, Predictive Analytics, Statistical Analytics, etc.

This repository contains a collection of Jupyter Notebooks for conducting Exploratory Data Analysis (EDA) and Statistical Analysis on various datasets.

This is a Jupyter Notebook developing Simple & Stratified Random Sampling with Python for Machine Learning

This repository contains my notebooks in Kaggle profile.

Hii i created Explore-Data-Analysis using python , Jupyter Notebook

Notebook contenente l'analisi dei dati relativi alla diffusione del Coronavirus in Italia forniti dalla Protezione Civile. Notebook containing data analysis inherent covid-19 spread in Italy

This repository contains the data analysis notebook of the aspiring minds employability outcomes 2015.

Jupyter notebooks and web app that uses statistical analysis to prove climate change is real!

Python notebooks I used for active learning / test stuff out while learning statistical signal processing

A large-scale spectral counting data analysis using PAW pipeline, edgeR, R, and Jupyter notebooks