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33 search results found

Bayesian Analysis Recipes ⭐ 510

A collection of Bayesian data analysis recipes using PyMC3

Scipy2014_tutorial ⭐ 281

Tutorial: Bayesian Statistical Analysis in Python

A Bayesian model for compositional single-cell data analysis

Pointpats ⭐ 65

Planar Point Pattern Analysis in PySAL

Ciencia De Dados Projetos ⭐ 55

Repositório para meus projetos de ciência de dados (Web scraping e automação + análise exploratória de dados + machine learning + sistema de recomendação)

Datadoubleconfirm ⭐ 50

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

Streamline ⭐ 47

Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data

Complete Data Science Roadmap ⭐ 29

Complete Roadmap For Data Science

Data Analysis Nanodegree 2.0 ⭐ 24

Udacity FWD2.0 advanced data analysis nano degree connect sessions

Springboard Data Science Immersive ⭐ 23

Hipyproject ⭐ 21

Spotify Data Analysis ⭐ 17

Fetching & Statistical Analysis of Spotify Data

Titanic_survival_exploration ⭐ 16

Udacity Machine Learning Nano degree Program Project Predicting Passenger Survival

Data Scientist In Python ⭐ 15

This repository contains notes and projects of Data scientist track from dataquest course work.

Web scraping PubMed database and paper information visualization

Trading Strategy Simulation ⭐ 14

Comparing dollar-cost averaging frequencies 🤓

Appliedstats ⭐ 12

A repo with homeworks and labs from a course on applied stats taken by me during my bachelor's degree in MIPT, Ru. Course authors: Andrii Hraboviy, @andriygav and Oleg Bakhteev, @bahleg.

Python Stats Dataviz ⭐ 9

Course materials for UMBC DATA 690 - Statistical Analysis and Data Visualization with Python.

Statistics For Data Science ⭐ 8

Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to know data in a much better way and explains the behavior of the data based upon certain factors. It has many Elements which help us to understand the data better that includes Probability, Distributions, Descriptive Analysis, Inferential Analysis, Comparative Analysis, Chi-Square Test, T Test, Z test, AB Testing etc.

Network Intrusion Detection Using Machine Learning ⭐ 8

A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

Anki_revlog_analysis ⭐ 8

Anki 复习数据处理与分析

a package to support with the statistical analysis of trajectory data

Capstoneproject_house_prices_prediction ⭐ 7

Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and suggested a best model to predict the final sale price of a house. Seaborn is used to plot graphs and scikit learn package is used for statistical analysi

Covid19rj ⭐ 7

Repositório da iniciativa COVID19: Observatório Fluminense, com dados, gráficos e relatórios sobre a evolução pandemia de COVID-19, com especial interesse no Estado do RJ.

Dnn Locate ⭐ 6

dnn-locate is a python module for discriminative features localization based on neural networks.

Iv And Woe Python ⭐ 6

This repository contains analysis of churn in telephone service company (using IV and WOE), comparison of effect size and information value and quick tutorial how to use information value module (created for this analysis).

Google Advanced Data Analytics Professional Certificate ⭐ 6

The Google Advanced Data Analytics Certificate contains information on how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data, and prepare for jobs like Senior Data Analyst and Junior Data Scientist.

Survival Analysis ⭐ 5

Survival Analysis: Intuition & Implementation in Python

Statistics For Data Science Using Python ⭐ 5

Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. Learn statistical concepts that are very important to Data science domain and its application using Python. Learn about Numpy, Pandas Data Frame.

Hep Analysis ⭐ 5

hep-analysis aims to reproduce the traditional data-analysis workflow in high-energy physics using Python.

Code, text and shiny app underlying our Brain & Language paper (Sassenhagen & Alday, 2016) on a common mistake in covariate control for statistical analysis of cognitive/linguistic experiments

Bayesianstatistics ⭐ 5

Aquí encontrarás materiales didácticos, ejercicios, conjuntos de datos y recursos para profundizar en el análisis bayesiano. Este curso está dirigido a estudiantes interesados en métodos estadísticos avanzados, análisis de datos y programación estadística.

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