2 Days Live Training on Statistics for Data Science & Machine Learning
Training TypeLive Training
Statistics for Machine Learning Course Introduction
About Statistics for Machine Learning Course
This course is designed to get an in-depth knowledge of Statistics and Probability for Data Science and Machine Learning point of view. Here we are talking about each and every concept of Descriptive and Inferential statistics and Probability. By completing this course.
Statistics for Machine Learning Course Objective
Gain the understanding of Statistical concepts for Machine Learning and Data Science point of view.
Understand the difference between descriptive statistics and inferential statistics.
Derive the Hypothesis and understand the same
Understand the probability concepts for Data Science point of view.
Understand the concepts of Permutation and combinations and how it can be tagged with probability.
Understand and use the hypothesis testing method to drive business decisions
Understand and use linear regression model and relevant key terms
Understand different distributions and its properties
Who is the Statistics for Machine Learning Course Target Audience?
This course is meant for all those students and professionals who are interested in using the Statistics and Probability for Machine Learning and Data Science.
What Basic Knowledge Required to Learn Statistics for Machine Learning Course?
There are no prerequisites
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Regression - An Introduction
Covariance and Covariance Matrix
Karl Pearson Correlation Coefficient
Spearman Rank Correlation Coefficient
R-Square and RMSE
Binomial and Bernoulli Distribution - Part 1
Significance Tests - An Introduction
Type 1 and Type 2 Errors