Introduction to Data Science and Machine Learning in Python - udemy course 100% Off

Hands on Approach to learn Numpy, Pandas, Data Visualization, ML, Linear Reg, Logistic Reg and K Means Clustering

What Will You Learn?
Understand what Machine Learning is
Identify applications of Machine Learning
Learn the differences between Supervised ML and Unsupervised ML
Build and apply Linear Regression Models
Apply Logistic Regression Models
Handle and work with Text, HTML and Excel Files
Apply Python for computing with Numpy
Clean and prepare data for analysis

udemy course :https://www.udemy.com/introduction-to-data-science-and-machine-learning-in-python/