Hello my Friends! This was my first course in Udemy for learning about python, (Udemy Python for Data Science and Machine Learning Bootcamp) and with this educator. This was an excellent first class to jump into the world of data wisdom. All of the explanations were clear, and you can tell the educator truly cares about software education. It covers all the most important motifs in machine literacy, and gives just enough theoretical knowledge to have some introductory understanding of the algorithms behind the scenes. I am formerly using some of the knowledge learned (and rehearsed!) then at work.
You need to Little bit knowledge about programming.
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What you will learn:
Python for Data Science Description:
Hey Are you ready to start your path to getting a Data Scientist!
This comprehensive course will be your companion to learning how to use the power of Python to dissect data, produce beautiful visualizations, and use important machine learning algorithms!
.Data Scientist has been ranked the number one job on Glassdoor and the average payment of a data scientist is over$ in the United States according to Indeed! Data Science is a satisfying career that allows you to break some of the world’s most intriguing problems!
This course is designed for both newcomers with some programming experience or educated inventors looking to make the jump to Data Science!
This comprehensive course is similar to other Data Science bootcamps that generally bring thousands of bones, but now you can learn all that information at a bit of the cost! With over 100 HD videotape lectures and detailed law scrapbooks for every lecture this is one of the most comprehensive course for data wisdom and machine literacy on Udemy!
We will educate you how to program with Python, how to produce amazing data visualizations, and how to use Machine Learning with Python! Then a just a many of the motifs we will be learning..
- Programming with Python
- NumPy with Python
- Using pandas Data Frames to break complex tasks
- Use pandas to handle Excel Files
- Web scraping with python
- Connect Python to SQL
- Use matplotlib and seaborn for data visualization
- Use plotly for interactive visualizations
- Machine Literacy with SciKit Learn, including
- Linear Retrogression
- K Nearest Neighbors
- K Means Clustering
- Decision Trees
- Random Timbers
- Natural Language Processing
- Neural Nets and Deep Learning
- Support Vector Machines
and much, much more!
Enroll in the course and come a data scientist moment!