Using R to Explore, Analyze, and Report on Prosper Loan Data

Data Mining Case Studies

Our goal is to use descriptive analysis to ask and solve questions about the given datasets found on Kaggle. Knowing various aspects about a battle, including the house leader, the outcome, and the battle style, can we predict the outcome of a battle given only one or two facts? Kaggle data found here: https://www.kaggle.com/mylesoneill/game-of-…

Investigate the response variable (dependent variable) life expectancy in the year 2016 and use other indicators (predictor variables) of the dataset to develop a linear model which explains the life expectancies 2016.

Understanding Pandas, Importing datasets, Deriving Attributes, Performing Statistics

The following data are numbers of passengers on flights of Delta Air Lines between San Francisco and Seattle over 33 days in April and early May. 128, 121, 134, 136, 136, 118, 123, 109, 120, 116, 125, 128, 121, 129, 130, 131, 127, 119, 114, 134, 110, 136, 134, 125, 128, 123, 128, 133, 132, 136, 134, 129, 132

Data Exploration Using Python.

This is an amazing course that I took at Platzi, about descriptive statistics.

Introduction to Data Science, Probability, Statistics & Mathematics. This folder Learn the fundamentals of Python, NumPy, Pandas, and SQL for analyzing data. Draw conclusions from data with probability, descriptive and inferential statistics, and mathematics such as calculus and algebra. Data Visualization to create interactive dashboards.

My first project from Udacity's data analysis professional nanodegree program, provided by FWD scholarship.

PFDA_Assignment

🚒 🔥 Hobby data science project to analyze San Francisco's fire service.

This is an analysis of LA's crime data done to inform the LAPD on how their resources can be effectively deployed to combat crime.

This repository contains exercises on statistical analysis and probability calculations. Each question is answered with detailed explanations, covering topics like data types, probability distributions, expected values, descriptive statistics, skewness, kurtosis, confidence intervals, & hypothesis test

Statix is a Python library for making descriptive and inferential statistics accessible to your Python programs.

DsFeatFreqDist – Dataset Feature-Frequency Distributions Fitting

Testing a phenomenon of the Stroop Effect

To analyze different aspects of Diabetes in the Pima Indians tribe.