Exploratory data analysis using R(ggplot2) … More Red Wine data analysis using R
Recommending Items to Users¶ Collaborative Filtering is a popular technique that is used for coming up with User-Item recommendations. In this example, we will use the list of which users bought which items and build an affinity score between items. When a customers buys an item, we use this affinity score to recommend other items … More Will customer buy the product?
Last weekend, I was invited for a special data meetup hosted by Udacity. The panel was headed by some of the most influential data scientists in the Bay Area. I had the pleasure of being a part of the alumni success story for my effort to complete the “Data Analyst Nanodegree” program. The event was … More Tableau Viz
Click here for the Ipython notebook import pandas In : messages = pandas.read_csv(‘smsspamcollection/SMSSpamCollection’, sep=’\t’, names = [‘labels’,’message’]) In : messages.head() Out: labels message 0 ham Go until jurong point, crazy.. Available only … 1 ham Ok lar… Joking wif u oni… 2 spam Free entry in 2 a wkly comp to win FA Cup fina… 3 ham … More Spam filter – Using NLP
This project mines the movie lens’s dataset to make a recommendation engine for the users … More Movie Recommendation engine
Use of machine learning algorithm on Enron’s email and financial data to predict fraud … More Predict fraud using Machine Learning
Project Description: Test a Perceptual Phenomenon Use descriptive statistics and a statistical test to analyze the Stroop effect, a classic result of experimental psychology. Give your readers a good intuition for the data and use statistical inference to draw a conclusion based on the results. Project Code: Ipython Notebook
This is a data visualization project using Kaggle’s Titanic dataset. … More Featured Data Project