Machine Learning Course
Machine learning (ML) is a branch of artificial intelligence (AI) and computer science that focuses on the using data and algorithms to enable AI to imitate the way that humans learn, gradually improving its accuracy.
Machine Learning is the field of study that gives computers the capability to learn without being explicitly programmed. ML is one of the most exciting technologies that one would have ever come across. As it is evident from the name, it gives the computer that makes it more similar to humans: The ability to learn. Machine learning is actively being used today, perhaps in many more places than one would expect.
Skilled Instructors
Flexible Learning
Interactive Content
Hands-on Experience
Personalized Learning Paths
Career Support
Course Modules
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Getting started with Machine Learning
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An Introduction to Machine Learning
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Classification of Machine Learning
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Categorizing based on Required Output
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Examples of Machine Learning
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Benefits and Challenges of Machine Learning
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Introduction to Data in Machine Learning
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Best Python libraries for Machine Learning
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Difference Between Machine Learning and Artificial Intelligence
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Understanding Data Processing
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Data Handling in Python
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Getting started with Classification
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Machine Learning for classification
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Classification Types
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Classification Algorithms
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Linear Classifiers
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Logistic Regression
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Support Vector Machines
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Stochastic Gradient Descent
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Non-linear Classifiers
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K-Nearest Neighbours
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Decision Tree Classification
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AdaBoost
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Supervised Vs Unsupervised learning
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Gaussian Mixture Model
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Fuzzy Clustering
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K means Clustering – Introduction
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Agglomerative and Divisive clustering
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Reinforcement Learning & Algorithms
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PRINCIPAL COMPONENT ANALYSIS
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Linear Discriminant Analysis
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Chi-Square Test
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Parameters for Feature Selection
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Underfitting and Overfitting in Machine Learning
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Live Projects
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Deployments