Python for Data Science and Machine Learning – COMPLETE
Learn the main methods of Machine Learning, Data Science and Python in this COMPLETE course!
What you’ll learn
- Using Python for Data Science and Machine Learning
- Professional data visualization with Matplotlib
- Learn about intuitive data visualization with Plotly
- Learn how to use Seaborn for statistical analysis of data
- Using Pandas for data analysis
- Using Numpy for vector and matrix operations
- Logistic Regression
- K-Nearest-Neighbors (KNNs)
- K-means-clustering
- Support-Vector-Machines (SVM)
- Neural-Networks
- Using Spark for Big-Data
- Natural language processing and spam filter systems
- Recommendation systems (used in NetFlix, Spotify, etc.) …
- Projects with real data
- Spark and AWS
Requirements
- Programming basics
- Basic English (due to the main data sets used and Python methods being in English)
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 all the power of Python to analyze data, create great visualizations and use powerful Machine Learning algorithms!
It was planned in full partnership with Jose Portilla , one of Udemy’s most experienced tutors, with more than 300,000 students around the world.
Data scientist has been classified as the number 1 job at Glassdoor and the average salary for a data scientist is over $ 120,000 in the United States! Data Science is a rewarding career that allows you to solve some of the most interesting problems in the world! In addition, many companies in Brazil are already beginning to expand their data analytics areas.
This course is designed for beginners with some programming experience or experienced developers looking to take a leap towards data science!
This comprehensive course is comparable to other Data Science and Machine Learning courses that, in some cases, usually cost thousands of dollars, but now you can have access to this information for a fraction of the cost! With over 100 HD video lessons and detailed code notebooks for each lecture , this is one of the most comprehensive courses in data science and Machine Learning at Udemy!
Here, just a few of the topics we’ll be learning:
Programming with Python
NumPy with Python
Using panda DataFrames to solve complex tasks
Use pandas to handle Excel files
Obtaining data on the Web with Python
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
- Support Machines Vector
- Recommendation systems algorithms (NetFlix, Youtube, Amazon, Spotify)
- and much, much more!
Enroll in the course and become a data scientist today!
Who this course is for:
- This audience is aimed at those who want to learn more about Machine Learning and the main programming language focused on data analysis: Python.
