Data Science

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Data Science

80+ hours of learning Includes
Machine Learning Algorithms covered by Industry experts
Supervised and Unsupervised Algorithms
Math intuition behind Algorithms
Time Series Analysis
Guided Project in both Supervised and Unsupervised Machine Learning

Course Content

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Supervised Learning 11 Topics

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Lesson Content

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1.1 Introduction to Supervised Learning

1.2 Linear and Logistic Regression

1.3 Evaluation Metrics

1.4 KNN and Naive Bayes

1.5 Decision Trees

1.6 Ensemble techniques

1.7 Bagging Algorithms

1.8 Boosting Algorithms

1.9 Support Vector Machines

2.0 Hyperparameter tuning

2.1 Time Series Analysis

Unsupervised Machine Learning 4 Topics

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1.2 Distance based and Density based Clustering

1.3 Dimensionality Reduction: PCA and tSNE