Download free PDF course Introduction to Data Science. In this PDF course you’ll learn the concepts, techniques and application in data science. This PDF notes focus on data analysis, statistics of machine learning and graph analysis techniques. This notes is very interesting and very helpful for beginners and the students. This notes help the students for their projects. In this notes you’ll learn the brief introduction of data science and learn why use python language in data science.
This PDF notes teach you that how to use python language in data science. You’ll learn about different python libraries and learn how to use it. You can clear your python concepts easily and practice codes by code examples. You can easily download this PDF course free of cost.
You Can Cover These Topics:
Learn Introduction to Data Science
Learn Why use Python?
Learn Fundamental Python Libraries for Data Science
Learn Descriptive Statistics
Learn Data Preparation
Estimation
Learn Statistical Interface
Measuring the Variability in Estimates
Learn Supervised Learning
Learning Curves
Learn Training, Validation and Test
Learn about Two Learning Models
Learn Regression Analysis
Learn about Linear Regression
Logistic Regression
Unsupervised Learning
Learn about Clustering
Learn Network Analysis
Learn Basic Definition in Graph
Community Detection
Learn about Recommender System
Learn How Do Recommender System Work?
Statistical Natural Language Processing for Sentiment Analysis
Learn Data Cleaning
Learn Text Representation
Learn Parallel Computing
Multicore Programming
Learn Distributed Computing
