-mobile_games_a

Analyzing an A/B test from the popular mobile puzzle game, Cookie Cats.

-which_debts_are_worth_the_banks_effort-

After a debt has been legally declared "uncollectable" by a bank, the account is considered to be "charged-off." But that doesn't mean the bank simply walks away from the debt. They still want to collect some of the money they are owed. In this project, you will look at a situation where a bank assigned delinquent customers to different recovery strategies based on the expected amount the bank believed it would recover from the customer. The goal for the data scientist is to determine in this non-random assignment whether the incremental amount the bank earns exceeded the additional cost of assigning customers to a higher recovery strategy. Threshold assignments like this also one occur in medicine (above a certain temperature you get medicine), education (above a certain test score students get admitted to a special class), other areas of finance (above a certain wealth customers get different levels of service), and public sector (below a certain income someone is eligible for housing benefits). Regression discontinuity is an intuitive and useful analysis method in any situation of a threshold assignment.

amazing-python-scripts

🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.

analysis-on-nfl-players

This repository contains the notebook that was submitted to the NFL Team as part of a competition that was conducted on Kaggle.

analysis-on-political-donations

This is an analysis done on the dataset "Political Donations By American Sports Owners", available on Kaggle.

analyze_your_runkeeper_fitness_data

Import, clean, and analyze seven years' worth of training data tracked on the Runkeeper app.

analyzing-international-debt-statistics

analyzing_tv_data

In this project, I used a combination of data manipulation and visualization to explore television data. I also looked at Super Bowl Data, generating insights into game outcomes, viewership, and even halftime shows.

animation-nation

A ZTM Challenge for Hacktoberfest 2019

apnabharat-bus-booking-reservation-system

It is the system containing fully functional features from booking ticket to generating the ticket.

azure-resume

My own azure resume

bad_passwords_and_the_nist_guidlines

bigdata

This repository hosts the code/projects/demos/slides for Big Data technologies under Apache Hadoop and Apache Spark umbrella.

boat_view_prediction

This project was done as a part of the certification process. I am to predict the views a boat gets based on the given data. I used RandomForest as the base model.

book_recommendations_from_charles_darwin

Recommendation systems are at the heart of many products such as Netflix or Amazon. They generally rely on metadata (e.g., the actors or director of a movie) or on user tastes (e.g., the movies you liked before) to determine which you are most likely to enjoy. But when you are working with text-heavy datasets, you have access to a much richer resource—the whole text! In this project, I learned how to build the basis of a book recommendation system based on their content. I used Charles Darwin's bibliography to find out which books might interest you.

classify-song-genres-from-audio-data

In this notebook I classified songs into either 'Hip-Hop' or 'Rock' using decision trees and logistic Regression.

climate-change-sentiment-analysis

I performed sentiment analysis on the twitter data which is about climate change.

constellation

Project, part of learning path of Codecademy

cppbestpractices

Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.

customercheckinprediction

In this project I predict whether a customer checks into the hotel they booked or not using the features provided. I specifically used NLP model to compete the task. I also deployed the model on to the web.

data-extraction-and-nlp

dev-geeks

open source project

disney_movies_and_box_office_success

Since the 1930s, Walt Disney Studios has released more than 600 films covering a wide range of genres. While some movies are indeed directed towards kids, many are intended for a broad audience. In this project, I will analyze data to see how Disney movies have changed in popularity since its first movie release. I will also perform hypothesis testing to see what aspects of a movie contribute to its success.

exploring_history_of_lego

The Rebrickable database includes data on every LEGO set that has ever been sold; the names of the sets, what bricks they contain, what color the bricks are, etc. It might be small bricks, but this is big data! In this project, I got to explore the Rebrickable database and answer a series of questions related to the history of Lego!

exploring_the_nyc_airbnb_market

In this project, I applied data importing and cleaning skills to uncover insights about the Airbnb market in New York City. I also imported data from multiple file types and combine them to answer questions about the Airbnb market in New York. I used string cleaning and date manipulation skills to extract accurate information from the datasets. The packages and tools used here are utilized by data scientists everyday since so much of the world's data is stored in unconventional formats and is not clean or analysis-ready.

extract_stock_sentiment_from_news_headline

It used to take days for financial news to spread via radio, newspapers, and word of mouth. Now, in the age of the internet, it takes seconds. Did you know news articles are automatically being generated from figures and earnings call streams? In this project, I generated investing insight by applying sentiment analysis on financial news headlines from Finviz. Using this natural language processing technique, I have also understood the emotion behind the headlines and predict whether the market feels good or bad about a stock. The datasets used in this project are raw HTML files for the Facebook (FB) and Tesla (TSLA) stocks from FINVIZ.com, a popular website dedicated to stock information and news.

face-x

Demonstration of different algorithms and operations on faces. Star the repo⭐

facebook-clone

Using React JS this clone was created

financial-fraud-detection

first-contributions

🚀✨ Help beginners to contribute to open source projects