Statistics is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied
#statistics #statsfordatascience #krishnaik
All the materials are available in
the below
[ Ссылка ]
Timestamp
0:00:00 Introduction
0:00:35 Descriptive Statistics
0:02:45 Inferential Stats
0:04:31 What is Statistics
0:06:54 Types of Statistics
0:11:22 Population And Sample
0:14:33 Sampling Teechniques
0:24:33 What are Variables?
0:30:54 Variable Measurement Scales
0:42:55 Mean, Median, Mode
0:57:10 Measure of dispersion with Variance And SD
1:08:05 Percentiles and Quartiles
1:15:35 Five number summary and boxplot
1:29:12 Gaussian And Normal Distribution
1:56:40 Stats Interview Question 1
2:17:10 Finding Outliers In Python
2:32:00 Probability, Additive Rule, Multiplicative Rule
2:51:26 Permutation And combination
2:56:22 p value
2:59:19 Hypothesis testing, confidence interval, significance values
3:12:22 Type 1 and Type 2 error
3:25:55 Confidence Interval
3:46:45 One sample z test
3:59:11 one sample t test
4:06:32 Chi square test
4:21:45 Inferential stats with python
4:24:37 Covariance, Pearson correlation, spearman rank correlation
4:54:59 Deriving P values and significance value
5:13:41 Other types of distribution
-----------------------------------------------------------------------------------------------------
►Data Science Projects:
[ Ссылка ]
►Learn In One Tutorials
Statistics in 6 hours: [ Ссылка ]
Machine Learning In 6 Hours: [ Ссылка ]
Deep Learning 5 hours : [ Ссылка ]
►Learn In a Week Playlist
Statistics:[ Ссылка ]
Machine Learning : [ Ссылка ]
Deep Learning:[ Ссылка ]
NLP : [ Ссылка ]
►Detailed Playlist:
Stats For Data Science In Hindi : [ Ссылка ]
Machine Learning In English : [ Ссылка ]
Machine Learning In Hindi : [ Ссылка ]
Complete Deep Learning: [ Ссылка ]
