Site menu
Section categories
PORTABLE SOFTWARE |
SOFTWARE |
SARADADDY REPACK GAMES |
PC GAMES |
KIDS GAMES |
VIDEO TUTORIALS |
MOVIES |
ANIMATED MOVIES |
e-BOOKS |
Hidden Object Games |
Dash / Time Management |
Casino Games |
MAHJONG |
Statistics
Total online: 3
Guests: 3
Users: 0
Main » 2021 November 3 » Packt Data Science and Machine Learning with Python
14:21:57 Packt Data Science and Machine Learning with Python |
Packt Data Science and Machine Learning with Python Perform data mining and Machine Learning efficiently using Python and Spark Date released : September 21, 2016 Course Length : 8 hour 52 minutes Included Code Files Language : English Size : 5,47 Gb The job of a data scientist is one of the most lucrative jobs out there today – it involves analyzing large amounts of data, and gathering actionable business insights from it using a variety of tools. This course will help you take your first steps in the world of data science, and empower you to conduct data analysis and perform efficient machine learning using Python. Gain value from your data using the various data mining and data analysis techniques in Python, and develop efficient predictive models to predict future results. You will also learn how to perform large-scale machine learning on Big Data using Apache Spark. You don’t have to be an expert coder in Python to get the most out of this course – just a basic programming knowledge of Python is sufficient. What You Will Learn Learn how to clean your data and ready it for analysis Implement the popular clustering and regression methods in Python Train efficient machine learning models using Decision Trees and Random Forests Visualize the results of your analysis using Python’s Matplotlib library Visualize the results of your analysis using Python’s Matplotlib library https://www.filefactory.com/file/5vtslejh4kvh/ https://www.filefactory.com/file/3vrljqie1tn9/ https://www.filefactory.com/file/7leubjtmpixh/ DOWNLOAD CODE FILES https://www.filefactory.com/file/5geye3z521uh/ |
|
Total comments: 0 | |