Posts about Udacity

2018-04-05 00:00 Aadhaar Data and Relational Databases
2018-04-05 00:00 Advice for Data Scientist and Recap
2018-04-05 00:00 Advice, Recap & Conclusion
2018-04-05 00:00 Analyzing Data
2018-04-05 00:00 APIs
2018-04-05 00:00 Auditing the data
2018-04-05 00:00 Bayesian Inference
2018-04-05 00:00 Boosting
2018-04-05 00:00 Boosting, Post-decessor
2018-04-05 00:00 Boosting, Pre-decesor
2018-04-05 00:00 Boxplot, histogram, visualization in R sysntax
2018-04-05 00:00 Classification vs Regression
2018-04-05 00:00 Cleaning the data
2018-04-05 00:00 Coeffecient Determination
2018-04-05 00:00 Conclusion and Project for Data Wrangling
2018-04-05 00:00 Conclusion, other advice, assignment and Recap
2018-04-05 00:00 Counting Words
2018-04-05 00:00 CSV
2018-04-05 00:00 CSV Wrangling
2018-04-05 00:00 Data Formats
2018-04-05 00:00 Data Types and Scales
2018-04-05 00:00 Data Wrangling, Analyze Messy Data and Nick's Experiences
2018-04-05 00:00 Database Schema
2018-04-05 00:00 Decision Trees
2018-04-05 00:00 Definition
2018-04-05 00:00 Final Project
2018-04-05 00:00 Fundamentals
2018-04-05 00:00 How to handle missing data
2018-04-05 00:00 ID3
2018-04-05 00:00 Infinite Hypothesis Spaces
2018-04-05 00:00 Instance Based Learning and Others
2018-04-05 00:00 Intro
2018-04-05 00:00 Intro Map Reduce
2018-04-05 00:00 Intro to Data Visualization
2018-04-05 00:00 Intro to EDA
2018-04-05 00:00 Introducing Don and Rishiraj, advice on Communicate Findings
2018-04-05 00:00 Introduction and Statistic(Rigor)
2018-04-05 00:00 Introduction of Data Wrangling
2018-04-05 00:00 Introduction to pandas and Numpy
2018-04-05 00:00 Joint Distribution
2018-04-05 00:00 Joshua intro and advice, addition, Recap and Conclusion
2018-04-05 00:00 JSON Wrangling
2018-04-05 00:00 kNN
2018-04-05 00:00 Learning Theory
2018-04-05 00:00 Linear Regression, Gradient Descent, Cost Function
2018-04-05 00:00 Machine Learning
2018-04-05 00:00 More Map Reduce
2018-04-05 00:00 Neural Networks & Perceptron
2018-04-05 00:00 Non-parametric test
2018-04-05 00:00 Note from Intro to Data Science
2018-04-05 00:00 Openstreetmap Data
2018-04-05 00:00 Pac Learning
2018-04-05 00:00 Pandas and Dataframes
2018-04-05 00:00 Polynomial Regression
2018-04-05 00:00 Problem Set 2
2018-04-05 00:00 Project Intro for Titanic
2018-04-05 00:00 Queries
2018-04-05 00:00 R Basics
2018-04-05 00:00 Regression
2018-04-05 00:00 Sanity Check for Missing Values
2018-04-05 00:00 Scraping from Web
2018-04-05 00:00 Support Vector Machines
2018-04-05 00:00 t-test
2018-04-05 00:00 Tools for Neural Networks & Others
2018-04-05 00:00 Visual Encodings
2018-04-05 00:00 Visualizing Time Series Data
2018-04-05 00:00 XML Parsing
2016-01-06 10:00A/B Testing Multiple Metrics
2015-12-29 10:00A/B Testing Single Metric
2015-12-23 10:00A/B Testing Sanity Check
2015-12-16 10:00Duration of Experiment
2015-12-09 10:00Size of Experiment
2015-12-02 10:00Population of Experiment
2015-12-01 18:00Subject of Experiment
2015-11-16 18:00Variability of Metrics
2015-11-11 21:00High to Low Level Metrics A/B Testing
2015-11-09 16:50Difficult Metrics in A/B Testing
2015-11-06 21:00A/B Testing Metrics
2015-10-28 16:50Policy and Ethics in A/B Testing
2015-10-21 16:50A/B Testing Overview
2015-03-18 17:58Introduction to Statistical Distributions
2015-03-03 17:58Research Methods
2015-01-23 17:58Using MapReduce and Design Pattern
2015-01-22 17:58Hadoop and Big Data
2015-01-15 15:23Interaction and Animation with D3.js
2015-01-13 15:23Narrative Structures of Data Journalism
2015-01-12 15:23Design and Principles of Data Visualization
2015-01-11 15:23Dimple Basics
2014-12-31 15:23D3 Basics
2014-12-18 15:23Fundamentals of Data Visualization
2014-12-12 17:58validation with scikit-learn
2014-12-10 17:58evaluation with scikit-learn
2014-12-09 17:58PCA with scikit-learn
2014-12-03 17:58Feature Selection with scikit-learn
2014-12-03 17:58Text Learning with scikit-learn
2014-12-02 17:58Feature Scaling with scikit-learn
2014-12-01 17:58K-Means with scikit-learn
2014-11-29 17:58Outliers with scikit-learn
2014-11-27 17:58Regression with scikit-learn
2014-11-25 16:58Datasets and Question
2014-11-24 16:58Random Forest with scikit-learn
2014-11-21 17:58Decision Trees with scikit-learn
2014-11-20 22:23Support Vector Machine with scikit-learn
2014-11-20 17:58Wrangling with OpenStreetMap Data
2014-11-19 17:58Naive Bayes