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- Course
- Machine Learning
- Machine Learning
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Machine Learning Introduction
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Machine Learning Algorithms
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Supervised Learning
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Linear Regression and Logistic Regression
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K-Nearest Neighbour (KNN)
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Decision Tree
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Naïve Bayes Classifier
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Unsupervised Learning
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Advanced Machine Learning Concepts
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Random Forest – Ensemble
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Support Vector Machine (SVM)
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Natural Language Processing (NLP)
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Artificial Neural Network (ANN)
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Tensorflow overview and Deep Learning Intro
Linear Regression and Logistic Regression
- Theory of Linear Regression
- Hands on with use Cases