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

• UpdatedMar 14, 2025
• Jupyter Notebook

Deep R Programming (Open-Access Textbook)

• UpdatedNov 4, 2025

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.

• UpdatedAug 18, 2019
• Jupyter Notebook

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

• UpdatedAug 28, 2022
• Jupyter Notebook

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

• UpdatedMay 13, 2024
• Jupyter Notebook

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.

• UpdatedJul 13, 2019

• UpdatedNov 16, 2023
• Jupyter Notebook

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

• UpdatedJan 14, 2025
• R

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.

• UpdatedMar 26, 2024
• Jupyter Notebook

Hypothesis Testing in Data Analysis This repository contains a Jupyter Notebook demonstrating various hypothesis testing techniques using Python. It covers statistical tests such as t-tests, ANOVA, chi-square, and non-parametric methods, with real-world examples and visualizations.

• UpdatedFeb 21, 2025
• Jupyter Notebook

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

• UpdatedApr 28, 2024
• HTML

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

• UpdatedAug 20, 2024

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.

• UpdatedMar 3, 2025
• Jupyter Notebook

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

• UpdatedAug 3, 2024
• Jupyter Notebook

Machine Learning Workflow for Detecting Longterm Drug Effects in In Vitro Neuronal Networks on Microelectrode Arrays (presented at 13th international Meeting on Neural and Electrogenic Cell Interfacing, Vienna, 2025)

• UpdatedJul 14, 2025
• Python

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.

• UpdatedSep 9, 2024
• Jupyter Notebook

Using boxplots to investigate US hospitals healthcare costs

• UpdatedFeb 7, 2023
• Jupyter Notebook

Exploratory data analysis (univariate and bivariate) to understand the characteristics of the EEG signals. To build and compare several multiple linear regression models to predict the output signal y based on the input signals.

• UpdatedJun 27, 2025
• R

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.

• UpdatedOct 4, 2024
• Jupyter Notebook

All Statistics concepts

• UpdatedJun 23, 2024
• Jupyter Notebook