Kaggle Competition. Using available data set provide analysis of the Titanic disaster.
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Updated
Jul 6, 2017 - R
Kaggle Competition. Using available data set provide analysis of the Titanic disaster.
Pokemon data analysis
Basic machine learning projects and algorithm implementation in Python3
This repository contains the solution to project "Explore US Bikeshare Data" for Udacity Data Analyst Nanodegree
Used Pandas and Python plotting libraries - Matplotlib & Bokeh to analyze and visualize data of a clinical trial to test four potential treatment drugs and their possible effects on tumor volume, metastasis and survival rate | UT Data Analysis and Visualization Nov 2019 - May 2020
Matlab scripts that facilitate analysis of a variety of spectroscopic and microscopic data related to methods relevant to my phd in biophysics.
Our dataset is the emissions and fuel efficiency data provided for all vehicles tested for the last 30 years by the United States of America Environmental Protection Agency available to the public.
This repo contains all the code and datasets of my #gripseptember2021 internship by sparks foundation All the initial files are on the main branch
This is the final course of IBM Data Science Capstone Project.
The Bureau of Transportation Statistics provides CSV raw data to download. This dataset reports flights in the United States, including carriers, arrival and departure delays, and reasons for delays, from 2004 to 2019.
Analysis on Kaggle dataset on Indian Cuisines
Economic environment analysis using Power BI
ANZ Virtual Project
San Francisco has one of the highest crime rates throughout the whole nation. The goal is to analyze the SFPD 2016 incident records and determine what are some possible improvements that can lower the crime rates in the future.
R is a freely distributed software package for statistical analysis and graphics, developed and managed by the R Development Core Team, (CRAN). It provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, and graphical techniques, and is highly extensible.
Use Machine learning to predict the price of a car based on several characteristics. The objective is to build a model to understand the factors that drive the car of the price. This will help your automobile company launch their new car in the market effectively by pricing it better.
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