Pinned Repositories
desktop-calculator
E-news-Project
An online news portal aims to expand its business by acquiring new subscribers. Every visitor to the website takes certain actions based on their interest. The company plans to analyze these interests and wants to determine whether a new feature will be effective or not. Companies often analyze users' responses to two variants of a product to decide which of the two variants is more effective. This experimental technique is known as a/b testing that is used to determine whether a new feature attracts users based on a chosen metric. Suppose you are hired as a Data Scientist in E-news Express. The design team of the company has created a new landing page. You have been assigned the task to decide whether the new landing page is more effective to gather new subscribers. Suppose you randomly selected 100 users and divided them equally into two groups. The old landing page is served to the first group (control group) and the new landing page is served to the second group (treatment group). Various data about the customers in both groups are collected in 'abtest.csv'. Perform the statistical analysis to answer the following questions using the collected data.
Flask-Docker-Nginx-uWSGI
Full-Stack-Django-React
mrm_api
React-ReactRouter-Flux
react-redux
nakatuddesuzan's Repositories
nakatuddesuzan/E-news-Project
An online news portal aims to expand its business by acquiring new subscribers. Every visitor to the website takes certain actions based on their interest. The company plans to analyze these interests and wants to determine whether a new feature will be effective or not. Companies often analyze users' responses to two variants of a product to decide which of the two variants is more effective. This experimental technique is known as a/b testing that is used to determine whether a new feature attracts users based on a chosen metric. Suppose you are hired as a Data Scientist in E-news Express. The design team of the company has created a new landing page. You have been assigned the task to decide whether the new landing page is more effective to gather new subscribers. Suppose you randomly selected 100 users and divided them equally into two groups. The old landing page is served to the first group (control group) and the new landing page is served to the second group (treatment group). Various data about the customers in both groups are collected in 'abtest.csv'. Perform the statistical analysis to answer the following questions using the collected data.
nakatuddesuzan/Flask-Docker-Nginx-uWSGI
nakatuddesuzan/desktop-calculator
nakatuddesuzan/Full-Stack-Django-React
nakatuddesuzan/mrm_api
nakatuddesuzan/React-ReactRouter-Flux
nakatuddesuzan/react-redux
nakatuddesuzan/ah-backend-odin
nakatuddesuzan/download-web-image
nakatuddesuzan/EasyVisa
Machine Learning model to facilitate the process of visa approvals
nakatuddesuzan/Foodhub-Project
This project required analysis of data to give recommendations to the food hub business
nakatuddesuzan/IAHTerminal
nakatuddesuzan/INNS-Hotels-Project
A predictive model that can predict which hotel booking is going to be canceled in advance, and help in formulating profitable policies for cancellations and refunds.
nakatuddesuzan/Learning-Nodejs
nakatuddesuzan/level-up
nakatuddesuzan/Naive-Bayes-Classifier
Bayes' Theorem, Naive Bayes Classifier, Gaussian Naive Bayes
nakatuddesuzan/Netflix-Movies-Recommender
This recommender system is designed on the approach of content-based filtering. The content based filtering method for this project is based on the actors, directors, titles and genres of the movies.
nakatuddesuzan/Nth-Highest-salary-Leetcode
nakatuddesuzan/pymongo-flask-app
nakatuddesuzan/PySpark-Application
PySpark, Mlib, Apache Spark, Spark SQL
nakatuddesuzan/rebound
Command-line tool that instantly fetches Stack Overflow results when an exception is thrown
nakatuddesuzan/Recell
Uses Machine Learning(Linear Regression)
nakatuddesuzan/serving-react-with-flask
nakatuddesuzan/simple-react-app
nakatuddesuzan/simple-react-native-app
nakatuddesuzan/StackOverflow-lite
nakatuddesuzan/stackoverflowlite-db
nakatuddesuzan/Trade-and-Head
Analyze the stocks data, grouping the stocks based on the attributes provided, and sharing insights about the characteristics of each group. Skills and Tools EDA, Kmeans Clustering, Hierarchical Clustering, Cluster Profiling
nakatuddesuzan/USCC-Front-End
nakatuddesuzan/using-scrapy