
Created by Jose Portilla | Last updated 9/2019
Duration: 22.5 hours | Video: h264, 1280x720 | Audio: AAC, 44 KHz, 2 Ch | 3.8 GB
Genre: eLearning | Language: English + Sub | 149 lectures
What you'll 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 MatDescriptionlib for Python Descriptionting
Learn to use Seaborn for statistical Descriptions
Use Descriptionly for interactive dynamic visualizations
Use SciKit-Learn for Machine Learning Tasks
K-Means Clustering
Logistic Regression
Linear Regression
Random Forest and Decision Trees
Natural Language Processing and Spam Filters
Neural Networks
Support Vector Machines
Requirements
Some programming experience
Admin permissions to download files
Description
Are you ready to start your path to becoming a Data Scientist!
This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!
Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!
This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!
This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! Withover 100 HD video lecturesanddetailed code notebooks for every lecturethis is one ofthe most comprehensive course for data science and machine learning on Udemy!
We'll teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning:
Programming with PythonNumPy with PythonUsing pandasData Frames to solve complex tasksUse pandasto handle Excel FilesWeb scraping with pythonConnect Pythonto SQLUse matDescriptionlib and seaborn for data visualizationsUse Descriptionly for interactive visualizationsMachine Learning with SciKit Learn, including:Linear RegressionK Nearest NeighborsK Means ClusteringDecision TreesRandom ForestsNaturalLanguage ProcessingNeural Nets and Deep LearningSupport VectorMachinesand much, much more!
Enroll in the course and become a data scientist today!
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Who this course is for:
This course is meant for people with at least some programming experience
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