2020-12-23 Placement Data Analysis Job Placements is a crucial phase for graduate or post graduate students. The placements are dependent on a lot of factors like academics , specialization etc. This notebook is an analysis of those factors and their influence on placements. eda seaborn
2020-04-09 EDA on MPG Data using Seaborn This notebook consists of EDA on MPG data using seaborn where we extract meaning/information from data using plots and report important insights about data. This part is more about data analysis and business intelligence(BI). data visualization data science data analysis eda seaborn
2020-03-30 COVID-19: Comprehensive Data Visualization The main purpose of creating this notebook is to visualize the pandemic covid-19 and it's effects. It can be used by resource persons to get valuables insights and to build upon it. covid-19 beginner eda
2020-02-10 Exploratory data analysis in Python. In this tutorial, I will be discussing exploratory data analysis using python. exploratory data analysis data eda python tutorial
2020-01-14 Predicting NYC Taxi Ride Duration In this notebook, I analyze New York City taxi data and make predictions on taxi ride duration times. nyc pandas linear regression machine learning eda
2020-01-10 MLB Analysis: Predicting Pitcher Strikeout Rates In this notebook, I illustrate the data science life cycle through an example in which I predict MLB pitchers' 2nd half strikeout rates based on a variety of 1st half statistics. baseball modeling rmse cross validation linear regression