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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 stepbystep into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative subfield 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 – ObjectOriented 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
13 – SVM
14 – Decision Tree Classifier and Regressor
15 – Random Forest Classifier and Regressor
16 – KMean 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 reallife examples. So not only will you learn the theory, but you will also get some handson 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.
Interested in the field of Machine Learning ? Then this course is for you !
Course Provider: Organization
Stars 5 

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Stars 4 

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Stars 3 

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Stars 2 

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Stars 1 

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