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Data science and Machine learning demo vlr training 9059868766

3,015 views · Published 22 December 2018 · 1:18:24 · Indexed 7 October 2026

Channel: VLR Training · 2018 · Education

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Data science and Machine learning demo vlr training

HOW TO LEARN DATA SCIENCE AND MACHINE LEARNING:
What is Data Science And What is Machine Learning  9059868766 Demo By Deepak  డేటా సైన్స్ డెమో

MACHINE LEARNING COURSE CONTENT:
https://www.vlrtraining.in/data-science-course-with-machine-learning-training-hyderabad/
Machine learning (ML) is the study of algorithms and statistical models that computer systems use to progressively improve their performance on a specific task. Machine learning algorithms build a mathematical model of sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to perform the task. Machine learning algorithms are used in the applications of email filtering, detection of network intruders, and computer vision More Info https://en.wikipedia.org/wiki/Machine_learning


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PART2:  PYTHON ECOSYSTEM FOR MACHINE LEARNING

Introduction to Python, why it is best choice for current Data Science projects
Data types
Operations
Types of objects – Lists, Tuple, Dictionaries and Strings
List, Tuple, Dictionary and String manipulations
Control structures
If statements,
Loops – break, continue etc
Functional programming concepts (Lambdas, Map, Reduce, Filter &List comprehension)
Introduction on basic packages (NumPy, SciPy, Matplotlib, Pandas, Scikit-learn)
Data frames and operations on it

PART3:STATISTICS,PROBABILITY,LINEAR ALGEBRA FOR MACHINE LEARNING

Introduction to statistics
Variable types
Categorical variables
Ordinal variables
Continuous variables
Descriptive statistics
Mean
Median
Mode
Range& IQR
Variance
Standard Deviation
Correlation
Covariance
Inferential statistics
Sample and population
Sampling techniques (with and without replacement)
Stratified sampling
Hypothesis Testing
Null and Alternative Hypothesis
P value and Level of Significance
Type-I and Type-II errors
Chi-square test
Z – Test
T – Test
F- Test
ANOVA (One & Two way)
Distributions
Normal
Binomial
Bernouli
Poisson
Linear Algebra for Machine Learning
Probability for Machine Learning
Calculus for Machine Learning

https://www.vlrtraining.in/data-science-course-with-machine-learning-training-hyderabad/



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