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 basic
02 - Object-Oriented Programming
03 - Numpy
04 - Matplotlib
05 - Panda
06 - Data Visualization - Plotly and Cufflinks
07 - Data Visualization in Pandas
08 - Seaborn
09 - In troduction to Machine Learning
10 - Linear Regression
11 - Logistic Regression Titanic Dataset
12 - KNN algorithm
14 - Decision Tree Classifier and Regressor
15 - Random Forest Classifier and Regressor
16 - K-Mean Clustering
17 - Principal Component Analysis (PCA)
18 - Ensemble Learning
19 - Learning Curve
20 - Python Interview Questions
Moreover, 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 download and use on your own projects.
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