A terminal spreadsheet multitool for discovering and arranging data

This project analyzes and visualizes the Used Car Prices from the Automobile dataset in order to predict the most probable car price

Advanced data wrangling for python

Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and suggested a best model to predict the final sale price of a house. Seaborn is used to plot graphs and scikit learn package is used for statistical analysis.

Python Data Analytics, Machine Learning & Natural Language Processing

通过Python对OpenStreetMap的数据集进行整理和清洗。

course website for data science tools 1

A collection of projects as part of the Python for Data Science program at GreyAtom EduTech Pvt Ltd

Udacity Data Analyst NanoDegree Data Wrangling course project

Research Lab Script in R

This is to wrangle and analyze data from WeRateDogs Twitter archive.

Data Analysis: A/B Testing; Data Visualization; Data Wrangling; Numpy; Pandas; Practical Statistics; Python; SQL.

Predicting price and customer satisfaction: Airbnb data

This is an exercise on the use of python for data wrangling based on the book "Python for Data Analysis" by Wes McKinney

Aggregate data in R using simple SQL commands

Gather data from Twitter API and provide insights

This repo contains the code to download data and then extract it, if needed, and store it in a pickle file.

Data Wrangling with MongoDB class code

Repository containing self built case studies and analysis leveraging most of the phases in the entire executable data science chain end to end, ranging from harvesting of resources to building cutting edge deep dive data models.

Analysis of NOAA storm database with R to determine most severe types of weather event

🏡 🚥 Python - SQL / Wrangling and cleaning up the OpenStreeMap data from San Francisco area and running queries on it using SQL

Some materials I used to Train basics of R