Explore "Statistics" and "Probability Theory" Concepts and Their Implementations in "Python"
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Updated
Sep 5, 2023 - Jupyter Notebook
Explore "Statistics" and "Probability Theory" Concepts and Their Implementations in "Python"
Deep R Programming (Open-Access Textbook)
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.
This repository contains a gentle introduction to machine learning algorithms with hands on practical examples
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.
This repository includes all the assignments completed for the IDS702: Modelling & Representation of Data at Duke MIDS program.
Using boxplots to investigate US hospitals healthcare costs
collection of Jupyter Notebooks in both English and Spanish, dedicated to performing data quality analysis using the R programming language
The Following problems showcase different Statistical Methods used for Decision Making. The purpose of this project is to experiment and execute statistical methods, which are required to conduct data analysis, derive insights and inferences and arrive at business decisions.
Using pandas and numpy to explore London weather data to find the best time to visit.
Using matplotlib to look at distributions of flowers and flights to plan a trip.
[Statistics for Data Science] Data Science | Studi Independen | MyEduSolve X Kampus Merdeka
A tool for visualizing the coefficients of various regression models, taking into account empirical data distributions.
This repository contains a collection of Jupyter Notebooks for conducting Exploratory Data Analysis (EDA) and Statistical Analysis on various datasets.
Statistics for Data Science Assignment
Statistics for Data Science Hackathon
Statistics for Data Science Assignment
WHO LIFE EXPECTANCY: Studying the factors that affect/contribute to life expectancy and analyzing the changes over the last 15years, that is between 2000-2015.
A simple data science project/hackathon done as part of SDS course
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