Intro to Machine Learning with PyTorch
About Course
CharityML is a fictitious charity organization located in the heart of Silicon Valley that was established to provide financial support for people eager to learn machine learning.eDiploma Credit: 2 Points
A graduate of this program will be able to:
- Use Python and SQL to access and analyze
data from several different data sources. - Build predictive models using a variety of
unsupervised and supervised machine
learning techniques.. - Perform feature engineering to improve the
performance of machine learning models. - Optimize, tune, and improve algorithms
according to specific metrics like accuracy
and speed. - Compare the performances of learned
models using suitable metrics.
Course Curriculum
Supervised Learning
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REGRESSION
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PERCEPTRON ALGORITHMS
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DECISION TREES
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NAIVE BAYES
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SUPPORT VECTOR MACHINES
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ENSEMBLE OF LEARNERS
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EVALUATION METRICS
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TRAINING AND TUNING MODELS
Neural Networks
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INTRODUCTION TO NEURAL NETWORKS
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IMPLEMENTING GRADIENT DESCENT
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TRAINING NEURAL NETWORKS
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DEEP LEARNING WITH PYTORCH
Unsupervised Learning
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CLUSTERING
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HIERARCHICAL AND DENSITY-BASED CLUSTERING
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GAUSSIAN MIXTURE MODELS
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DIMENSIONALITY REDUCTION
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