statistics-for-data-science | Topic

Topic: "statistics-for-data-science"

Pegah-Ardehkhani/Statistics-and-Probability-in-Python

A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python

Language: Jupyter Notebook - Size: 6.66 MB - Last synced at: 27 days ago - Pushed at: about 2 months ago - Stars: 139 - Forks: 37

gagolews/deepr

Deep R Programming (Open-Access Textbook)

Size: 119 MB - Last synced at: 20 days ago - Pushed at: 3 months ago - Stars: 106 - Forks: 3

suneelpatel/Statistics-for-Data-Science-using-Python

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.

Language: Jupyter Notebook - Size: 244 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 36 - Forks: 13

SahibzadaSalman/Machine-Learning-with-Python

This repository contains a gentle introduction to machine learning algorithms with hands on practical examples

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sagi778/ufc_fights_Predictor

Language: Jupyter Notebook - Size: 103 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

vadimtyuryaev/RegrCoeffsExplorer

A tool for visualizing the coefficients of various regression models, taking into account empirical data distributions.

Language: R - Size: 5.65 MB - Last synced at: 18 days ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

Saba-Gul/Exploratory-Data-Analysis-and-Statistical-Analysis-Notebooks

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

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suneelpatel/Statistics-for-Data-Science-using-R

Learn the core statistical concepts, followed by application of these concepts using R Studio with the a nice combination of theory and practice. Learn key statistical concepts and techniques like exploratory data analysis, correlation, regression, and inference.

Size: 395 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 1

Marrtinerz/ML-DS-Portfolio

This portfolio features all the Data Science and Machine Learning projects I have completed for academic, self-learning and hobby purposes. Additionally, it is updated regularly.

Language: Jupyter Notebook - Size: 91.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

dhrupad17/Statistics-and-Probability-for-Data-Science

This is a repository containing the notes on statistics and probability for Data Science from basics to Advance

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sarahibsen/CS499

This is a desktop Tkinter app that takes in tab delimited data and allows the user to apply statistical analysis on the data. Supports graphing.

Language: Python - Size: 656 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

Kirstinbosch/data_snoop

Documenting some of my learning journey on Github Pages

Language: HTML - Size: 268 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

BasLinders/happyhorizon_statstoolkit

An ongoing project for an online toolkit to analyze online controlled experiments. Its mission: To make inferential statistics accessible for everyone.

Language: Python - Size: 373 KB - Last synced at: 14 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

NobuhiroMoteki/Introduction-to-Statistics

Introductory self-learning text for interval estimation and hypothesis testing, which are the two-central topics in frequentist statistics

Language: Jupyter Notebook - Size: 15.7 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

jennynzhuang/Regression_Property_Valuation

Developing a Linear Regression Model for Property Valuation Data

Language: Jupyter Notebook - Size: 662 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Jonkkeyler333/EDA_dengue

Project of data analytics

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JuanRuizIng/Statistical_distributions

This repository contains the project for the course Statistics and Probability 1 from the Faculty of Engineering and Basic Sciences. The main focus of the project is the application of probability distributions such as normal, exponential, gamma, Poisson, and binomial distributions to solve real-world problems.

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AbdylGaniwu/Hypothesis-Testing-on-Heart-Disease-Data-Project

This project uses statistical hypothesis testing to examine the link between cholesterol and fasting blood sugar levels with heart disease. One-sample t-tests and binomial tests are applied to assess whether these health metrics significantly differ from expected values, focusing on their association with heart disease.

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AbdylGaniwu/Utilizing-Poisson-Distribution-for-Retail-Pharmacy-Call-Center-Insights

The Poisson Distribution models the number of events that occur within a specified time frame, such as years. Since the volume of incoming calls fluctuates from year to year, this distribution aids in determining whether the call data aligns with a Poisson process or if external factors are affecting the call volume.

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AbdylGaniwu/Poisson-Distribution-Model-for-Analysis

The Poisson distribution is a useful model for analyzing product defects, helping to estimate expected defect rates, their variability, and the likelihood of extreme cases. This understanding aids in enhancing quality control processes and minimizing defects.

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saymuntasir/Applied-Regression-Problem-Set

This repo contains all two problem set solutions of Applied Regression Course.

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josericodata/MScDataAnalyticsFirstSemesterAssignmentTwo

Summary of Assignment Two from the first semester of the MSc in Data Analytics program. This repository contains the CA2 assignment guidelines from the college and my submission. To see all original commits and progress, please visit the original repository using the link below.

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Immortal-Pi/AdvanceStatistics

All Statistics concepts

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emmaarenas/data-quality-analysis

collection of Jupyter Notebooks in both English and Spanish, dedicated to performing data quality analysis using the R programming language

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meiyulee/probability_distribution_simulator_for_Excel

Excel calculating the probability distribution simulated data

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meiyulee/solutions_on_DWtest_statistic

Book of Demythologize Durbin-Watson Test Statistic | Correct the critical values of DW statistic

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quinn0/R-Instructional-Projects

The R code authored below goes through cleaning, visualizing and modeling data as well as some useful simulations for concepts in Research Statistics and markdown reports. Some code is shell code for the participant to complete; some are examples of the completed shell code. For more advanced R methods, see Dashboards_DataScience repo

Language: R - Size: 14.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0