Tag: decision trees
Intro to Machine LearningCourses / Self-paced online course
From Udacity: “Machine Learning is a first-class ticket to the most exciting careers in data analysis today. As data sources proliferate along with the computing power to process them, going straight to the data is one of the most straightforward ways to quickly gain insights and make predictions. Machine learning brings together computer science and statistics to harness that predictive power. It’s a must-have skill for all aspiring data analysts … Continue Reading
Python for Data Science and Machine Learning BootcampCourses / Self-paced online course
From Udemy: “Learn how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow, and more! What Will I Learn? Use Python for Data Science and Machine Learning Use Spark for Big Data Analysis Implement Machine Learning Algorithms Learn to use NumPy for Numerical Data Learn to use Pandas for Data Analysis Learn to use Matplotlib for Python Plotting Learn to use Seaborn for statistical plots Use Plotly for interactive … Continue Reading
SAS Learning path and resources – Business Analyst in SASCurricula / References, Learning Guides, Etc.
This is a curriculum compiled by Analytics Vidhya as a guide to learning SAS for business analytics. The curriculum is composed of the following steps: Step 0: Why learn SAS Step 1: Downloading and Installing SAS Step 2: Base SAS on sas.com Step 3: SQL Step 4: Descriptive Statistics with the Udacity Intro to Descriptive Statistics course Step 5: Inferential Statistics with the Udacity Intro to Inferential Statistics course Step … Continue Reading
DataCamp – Credit Risk Modeling in RCourses / Interactive tutorial style course
From DataCamp: “This hands-on-course with real-life credit data will teach you how to model credit risk by using logistic regression and decision trees in R. Modeling credit risk for both personal and company loans is of major importance for banks. The probability that a debtor will default is a key component in getting to a measure for credit risk. While introducing other models in this course as well, we focus on … Continue Reading
Predictive Analytics World – ChicagoConferences / Gatherings and Organizations
2017 Event: June 19-22, 2017 – Chicago, IL Co-Located with PAW Manufacturing Conference: http://www.predictiveanalyticsworld.com/mfg/2017/ From Predictive Analytics World: Predictive Analytics World is the leading cross-vendor event for predictive analytics professionals, managers and commercial practitioners. The only conference of its kind, Predictive Analytics World delivers vendor-neutral sessions across verticals such as banking, financial services, e-commerce, entertainment, government, healthcare, manufacturing, high technology, insurance, non-profits, publishing, and retail. 2017 Speakers
Predictive Analytics World – San FranciscoConferences / Gatherings and Organizations
2017 Event: May 14-18, 2017 From Predictive Analytics World: Predictive Analytics World is the leading cross-vendor event for predictive analytics professionals, managers and commercial practitioners. he only conference of its kind, Predictive Analytics World delivers vendor-neutral sessions across verticals such as banking, financial services, e-commerce, entertainment, government, healthcare, manufacturing, high technology, insurance, non-profits, publishing, and retail. Overview of PAW Conference 2017 Speakers
Data Science for Business: What you need to know about data mining and data-analytic thinkingBooks / physical books or multiple formats
Learn how to improve communication between business stakeholders and data scientists, and how to participate intelligently in your company’s data science projects. Discover how to think data-analytically, support business decision-making with data science methods.
Data Science from Scratch: First Principles with PythonBooks / physical books or multiple formats
In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.
Machine Learning: The Art and Science of Algorithms that Make Sense of DataBooks / physical books or multiple formats
With hundreds of worked examples and explanatory figures, the book explains the principles behind state-of-the-art methods for making sense of data in an intuitive yet precise manner.