Practical Machine Learning for Data Scientists
Practical AI and ML
4.78 (360 reviews)
10 727
students
13.5 hours
content
Aug 2022
last update
$74.99
regular price
What you will learn
Build solid knowledge necessary for data scientists about AI, Machine Learning and Deep Learning
Understand the basics and underlying dynamics of supervised learining models: LinearRegression, LogisiticRegression, SVM, DNN, DecisionTrees and RandomForests.
Get introduced to unsupervised learning approaches for dimensionality reduction and clustering.
Build practical Machine Learning models and pipelines using python, scikit-learn, pandas, keras and tensorflow
Solve practical problems like image classification, text classification, price prediction.
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4644516
udemy ID
16/04/2022
course created date
08/05/2022
course indexed date
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