Python for Machine Learning bootcamp

Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Duration: 19:58:34Genre: eLearning | Language: English + Subtitles | Size: 8.03 GBCreate data visualizations using matplotlib and the seaborn modules with python.

https://www.udemy.com/course/python-for-machine-learning-bootcamp/

Learn to create Machine Learning Algorithms in Python from Zero to Hero Become a professional Python Developer and get hiredMaster modern Python 3 fundamentals as well as advanced topicsLearn Object Oriented ProgrammingLearn Machine Learning with PythonLearn Function ProgrammingUse the pandas module with Python to create and structure data.Use the Jupyter Notebook Environment.Use the numpy library to create and manipulate arrays.Build an army of powerful Machine Learning models and know how to combine them to solve any problemMake powerful analysisHave a computer (either Mac, Windows, or Linux)No prior knowledge of Python is required.No previous programming experience is needed.Interested in the field of Machine Learning ? Then this course is for you !This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.This course is fun and exciting, but at the same time we dive deep into Machine Learning. It is structured the following way:01 - Python basic02 - Object-Oriented Programming 03 - Numpy04 - Matplotlib05 - Panda06 - Data Visualization - Plotly and Cufflinks07 - Data Visualization in Pandas08 - Seaborn09 - In troduction to Machine Learning 10 - Linear Regression 11 - Logistic Regression Titanic Dataset12 - KNN algorithm13 -SVM14 - Decision Tree Classifier and Regressor15 - Random Forest Classifier and Regressor16 - K-Mean Clustering17 - Principal Component Analysis (PCA) 18 - Ensemble Learning19 - Learning Curve20 - Python Interview QuestionsMoreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.And as a bonus, this course includes Python code templates which you can and use on your own projects.Anyone who wants to master Python 3Anyone looking to level up their skills and master a new programming languageAnyone who wants to get into: Machine Learning, Data Science and other hot job marketshose who know Python basics and want to master PythonAny people who want to create added value to their business by using powerful Machine Learning