Machine Learning & AI with Python | Mathematics & Statistics

سرفصل های دوره

Learn the core mathematical concepts, Probability, Statistics, Data Science, Data Analytics, Machine and Deep Learning

1. Introduction

1. Introduction to Machine Learning with Python

2. Importing

1. Machine Learning Introduction

2. Analytics in Machine Learning

3. Big Data Machine Learning

4. Emerging Trends Machine Learning

5. Data Mining

6. Data Mining Continues

7. Supervised and Unsupervised

3. Basics of Statistics Sampling

1. Sampling Method in Machine Learning

2. Technical Terminology

3. Error of Observation and Non Observation

4. Systematic Sampling

5. Cluster Sampling

4. Basics of Statistics Data types and Visualization

1. Statistics Data Types

2. Qualitative Data and Visualization

5. Basics of Statistics Probability

1. Machine Learning

2. Relative Frequency Probability

3. Joint Probability

4. Conditional Probability

5. Concept of Independence

6. Total Probability

6. Basics of Statistics Random Variables

1. Random Variable

2. Probability Distribution

3. Cumulative Probability Distribution

7. Basics of Statistics Distributions

1. Bernoulli Distribution

2. Gaussian Distribution

3. Geometric Distribution

4. Continuous and Normal Distribution

8. Matrix Algebra

1. Mathematical Expression and Computation

2. Transpose of Matrix

3. Properties of Matrix

4. Determinants

9. Hypothesis Testing

1. Error Types

2. Critical Value Approach

3. Right and Left Sided Critical Approach

4. P-Value Approach

5. P-Value Approach Continues

6. Hypothesis Testing

7. Left Tail Test

8. Two Tail Test

9. Confidence Interval

10. Example of Confidence Interval

10. Hypothesis Tests-Types

1. Normal and Non Normal Distribution

2. Normality Test

3. Normality Test Continues

4. Determining the Transformation

5. T-Test

6. T-Test Continue

7. More on T-Test

8. Test of Independence

9. Example of Test of Independence

10. Goodness of Fit Test

11. Example of Goodness of Fit Test

11. Regression

1. Co-Variance

2. Co-Variance Continues

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