Artificial Intelligence A to Z
August 21, 2020 2020-12-24 11:48Artificial Intelligence A to Z
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Introduction to the course
- Getting a clear idea about Machine Learning, Deep Learning, and Artificial Intelligence.
- What is Machine Learning and Application?
- What is Deep Learning and Application?
- What is Computer Vision and Application?
- What is Natural Language Processing and Application?
- What is Artificial Intelligence and Application?
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Understanding the Prerequisite of this course
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Python Crash Course
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Data Preprocessing
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Data Science using Python
- Types of Analytics
- Population and Sample
- Central Tendency Theorem
- Types of Variable
- Percentile
- Interquartile
- Interquartile Range (IQR)
- Box Plot
- Violin
- plot Variance
- Standard Deviation
- Probability Density Function (PDF)
- Cumulative Density Function (CDF)
- Normal Distribution Function
- Poison Distribution
- Bernoulli and Binomial Distribution
- Z-Score
- Co-variance
- Correlation
- Co-linearity
- Variance of Inflation Factor
- Homoscedasticity & Heteroscedasticity
- Hypothesis
- Z-Test vs. T-Test
- Sum of Square
- Error Sum of Square Regression
- Sum of Square Total
- R-Square
- ANAVO Table
- Eigen Values and Eigen Vector
- Hands-on followed by Intuition of each concept
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Regression
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Classification
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Clustering
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Ensemble Techniques
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Association Rule Learning
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: Reinforcement Learning
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Dimensionality Reduction
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Model Selection and Boosting
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Deep Learning
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Natural Language Processing
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Computer vision
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Intelligent Agent
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