What are the most extreme game outcomes? How does the game affect television viewership? How have viewership, TV ratings, and ad cost evolved over time?

💾 Bulk Data Duplicator (bdd)

Exploratory Data Analysis of trends and patterns in the usage of a bike sharing service

Using Data Manipulation, Cleaning and Visualization Techniques on Movie Ranking Dataset from GroupLens Research

Solving Data Questions from InterviewQs

Plot Google Trends data to find the most famous Kardashian/Jenner sister.

This Jupiter notebook covers basic CRUD operations (on MongoDB) using Python, loading a MongoDB Collection into a Pandas DataFrame and loading data from a .csv, .json and a RDBMS into MongoDB.

This repository contains pre-requisite notebooks regarding Pandas Library work for my internship as a Machine Learning Application Developer at Technocolabs.

Pandas DataFrame and Series operations including Data analysis,Data wrangling/Cleaning, Data manipulation

This is a project experimenting with SQL queries in order to answer interesting questions about international debt using data from The World Bank.

The repository hosts the resources for an introduction to Pandas and data manipulation seminar. The event was hosted by IEEE University of Patras SB in Greek.

Capstone project for "Introduction to Data Science using Python" from University of Michigan, through Coursera.

Building a machine learning model to predict if a credit card application will get approved

Exploring Google Play Store apps dataset to identify key factors for app engagement and success, revealing correlations between reviews, installs, categories, ratings, and user preferences.

Basic code for loading in-built murder dataset and some functions in R Studio. Functions such as - head, tail, class, factor, levels, str, seq, dataframe. We take a CollegeGrad dataset and perform data manipulation, correlation coefficients are calculated and dataset is compared with each other and Linear regression.

The program will allow a user to create and customize a team of 6 Pokemon. For each, the user can specify the specie, the moves it will know, the item it will be holding, and the nature it will have. This is to demonstrate capabilities with data management and constructing a GUI in Python.

Machine Learning Model for Stock Investment

This repository contains the step by step solutions to the questions which were asked in Innomatics Data Science Internship | Entrance Test (Part 2 of 2) | Hackathon

Recreate John Snow's famous map of the 1854 cholera outbreak in London.

Implementation of essential Pandas functions.