Machine Learning in Python: From Zero to Hero in 10 Hours
Machine Learning & Data Science in Python with real life projects. Source codes included.
4.51 (72 reviews)
440
students
8 hours
content
Jul 2021
last update
$13.99
regular price
What you will learn
Hands-on explanation of every major Machine Learning techniques.
Model Development, Deployment and Monitoring.
Regression: Simple, Polynomial, and Multinomial
Classification: Logistic Regression, K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Decision Tree, Naive Bayes
Ensemble Modeling: Voting Classifier, Bagging, Boosting, Stacking, Random Forest
Implementation of every concepts explained in the course. Source codes are made available to you for your use.
Data Visualization with MatPlotLib and Seaborn
Use train, test and Cross Validation to choose and tune data
Feature Engineering (Reduce Noise, Outliers) and Data Preprocessing
Practical examples of How to trade-off between Bias, Variance, Irreducible errors using Ensemble Learning model and Bagging, Boosting
Understand how to implement Machine Learning at massive scale
Understand math and statistics behind Machine Learning models
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Related Topics
2540164
udemy ID
02/09/2019
course created date
18/04/2020
course indexed date
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