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- 1 lessons
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- 60 hour duration
We will walk you step-by-step into the World of Machine Learning Online Course. With every live lecture you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science. This course dives into the basics of machine learning using an approachable, and well-known programming language, Python.
In this course, we will be reviewing two main components: First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms.
This course is fun and exciting, but at the same time we dive deep into Machine Learning Online Course.
Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.
1. Flow control, List, tuples, dictionary, functions, strings 2. Introduction to Jupyter
1. Numpy 2. PANDAS 3. Scipy 4. Matplotlib , Seaborn 5. sklearn
Introduction to Supervised Learning, Unsupervised Learning and Reinforcement learning
Supervised Machine learning Algorithms
1. Support vector Machine 2. Decision trees 3. Random forest 4. Naive Bayes 5. K- Nearest Neighbor
Use cases based on supervised learnings - Recognitions, detection, classifications in different verticals of industry or business problems
Unsupervised Machine learning Algorithms
Use cases based on unsupervised learnings - segmentation, clustering, recommendations in different aspects of business solutions
1. Linear regressions 2. Logistics Regression
Use cases based on regressions - forecasting, predictions
Performance measurement parameters
1. confusion matrix 2. Precision/Recall 3. ROC curve 4. F1 score
1. PCA 2. LDA
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