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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!
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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! With over 100 HD video lectures and detailed code notebooks for every lecture this is one of the 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 Python•NumPy with Python•Using pandas Data Frames to solve complex tasks•Use pandas to handle Excel Files•Web scraping with python•Connect Python to SQL•Use matplotlib and seaborn for data visualizations•Use plotly for interactive visualizations•Machine Learning with SciKit Learn, including:•Linear Regression•K Nearest Neighbors•K Means Clustering•Decision Trees•Random Forests•Natural Language Processing•Neural Nets and Deep Learning•Support Vector Machines•and much, much more!Enroll in the course and become a data scientist today!
Courses » Development » Data Science » Machine Learning » Python for Data Science and Machine Learning Bootcamp
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Python for Data Science and Machine Learning Bootcamp
Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!
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This course contains:
Table of contents
Description
You will learn
✓ 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 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
• Admin permissions to download files
This course is for
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