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        • What is Measures of Frequency in Statistics?
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        • What Are Measures of Variability With Examples
        • Measures of Shape – Skewness And Kurtosis
      • INFERENTIAL STATISTICS
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          • Standard Error (SE), Standard Error of Mean, and Central Limit Theorem (CLT) 
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          • Brief Intro to T Test 
          • HYPOTHESIS TESTING 
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          • ONE WAY ANOVA 
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    • BASIC STATISTICS APPLICATION
      • Descriptive Statistics in Python
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  • DATA EXPLORATION & PREPRATION
    • DATA EXPLORATION AND PREPRATION – THEORY
      • MISCELLANEOUS METHODS 
        • CONSOLIDATION OF DATASETS 
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    • DATA EXPLORATION AND PREPRATION – APPLICATION
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            • What Is Bagging In Machine Learning – Its Types & Limitations
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          • DECISION TREES 
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          • What Is Regularized Logistic Regression In Machine Learning
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          • Support Vector Machine ( Svm ) Algorithm In Machine Learning
          • ARTIFICIAL NEURAL NETWORKS 
          • K NEAREST NEIGHBORS 
          • Naive Bayes 
      • UNSUPERVISED LEARNING MODELS
        • CLUSTERING PROBLEMS
          • Hierarchical Clustering – How Does It Works And Its Types
          • What Is Dbscan Clustering Algorithm In Machine Learning
          • K-means Clustering In Machine Learning 
        • DIMENSIONALITY REDUCTION
          • Principal Component Analysis ( PCA ) – A Detailed Overview
        • ANOMALY DETECTION
          • Unsupervised Anomaly Detection Using Python 
      • TIME SERIES ANALYSIS
        • Exponential Smoothing Method – An Overview
        • What Is Time Series Data – Types, Usage & Components
        • A Quick Introduction To Averaging Methods
        • A Quick Overview To Arima Family
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  • HOME
  • BASIC STATISTICS
    • BASIC STATISTICS THEORY
      • DESCRIPTIVE STATISTICS
        • What is Measures of Frequency in Statistics?
        • what are the Measures of Central Tendency? -Mean, Median & Mode
        • What Are Measures of Variability With Examples
        • Measures of Shape – Skewness And Kurtosis
      • INFERENTIAL STATISTICS
        • IMPORTANCE OF INFERENTIAL STATISTICS
          • Standard Error (SE), Standard Error of Mean, and Central Limit Theorem (CLT) 
          • Z scores, Z test, and Probability Distribution 
          • Brief Intro to T Test 
          • HYPOTHESIS TESTING 
        • CORRELATION COEFFICIENTS 
        • T-TESTS 
        • F TESTS
          • ONE WAY ANOVA 
          • FACTORIAL ANOVA 
          • ANOVA REPEATED MEASURES 
        • CHI-SQUARE 
    • BASIC STATISTICS APPLICATION
      • Descriptive Statistics in Python
      • inferential statistics in python
  • DATA EXPLORATION & PREPRATION
    • DATA EXPLORATION AND PREPRATION – THEORY
      • MISCELLANEOUS METHODS 
        • CONSOLIDATION OF DATASETS 
        • UNIVARIATE & BIVARIATE ANALYSIS 
        • OUTLIER TREATMENT 
        • MISSING VALUE TREATMENT 
      • FEATURE ENGINEERING 
        • FEATURE TRANSFORMATION 
        • FEATURE SCALING 
        • FEATURE CONSTRUCTION 
          • BINNING 
          • ENCODING 
          • OTHER DERIVED VARIABLES 
        • FEATURE REDUCTION 
          • FEATURE EXTRACTION 
          • FEATURE SELECTION
            • FILTER METHODS 
            • WRAPPER METHODS 
            • EMBEDDED METHODS 
    • DATA EXPLORATION AND PREPRATION – APPLICATION
      • Miscellaneous Methods In Python
  • MODELING
    • MODELING THEORY
      • SUPERVISED LEARNING MODELS
        • REGRESSION PROBLEMS
          • ENSEMBLE METHODS 
            • What Is Bagging In Machine Learning – Its Types & Limitations
            • STACKING 
            • BOOSTING 
          • LINEAR REGRESSION 
          • What Is Regularized Linear Regression In Machine Learning
          • DECISION TREES 
          • K NEAREST NEIGHBORS 
        • CLASSIFICATION PROBLEMS
          • LOGISTIC REGRESSION 
          • What Is Regularized Logistic Regression In Machine Learning
          • DECISION TREES 
          • Support Vector Machine ( Svm ) Algorithm In Machine Learning
          • ARTIFICIAL NEURAL NETWORKS 
          • K NEAREST NEIGHBORS 
          • Naive Bayes 
      • UNSUPERVISED LEARNING MODELS
        • CLUSTERING PROBLEMS
          • Hierarchical Clustering – How Does It Works And Its Types
          • What Is Dbscan Clustering Algorithm In Machine Learning
          • K-means Clustering In Machine Learning 
        • DIMENSIONALITY REDUCTION
          • Principal Component Analysis ( PCA ) – A Detailed Overview
        • ANOMALY DETECTION
          • Unsupervised Anomaly Detection Using Python 
      • TIME SERIES ANALYSIS
        • Exponential Smoothing Method – An Overview
        • What Is Time Series Data – Types, Usage & Components
        • A Quick Introduction To Averaging Methods
        • A Quick Overview To Arima Family
  • BUY OUR COURSE NOW
Read more about the article Measures of Shape – Skewness And Kurtosis
BASIC STATISTICS / DESCRIPTIVE STATISTICS

Measures of Shape – Skewness And Kurtosis

Overview Measures Of Shape as a descriptive statistic can help us to determine how numbers of data points in a data set are distributed. It helps us to find the…

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September 2, 2022
Read more about the article What Are Measures of Variability With Examples
BASIC STATISTICS / DESCRIPTIVE STATISTICS

What Are Measures of Variability With Examples

Overview  A Measures Of Variability shows the spread of scores, i.e., it aids us in identifying the variance, the degree of similarity or variation each data point is within an…

0 Comments
September 2, 2022
Read more about the article what are the Measures of Central Tendency? -Mean, Median & Mode
BASIC STATISTICS / DESCRIPTIVE STATISTICS

what are the Measures of Central Tendency? -Mean, Median & Mode

Overview Measures of Central Tendency is another majorly utilized Descriptive statistic. Measures of Central Tendency are used to summarise the data into the use of a single number that represents…

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August 31, 2022
Read more about the article What is Measures of Frequency in Statistics?
BASIC STATISTICS / DESCRIPTIVE STATISTICS

What is Measures of Frequency in Statistics?

Measures of Frequency are the earliest and the most fundamental type of descriptive statistics that could be performed on any datasets. These kinds of statistics are typically performed in Univariate…

0 Comments
August 31, 2022

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  • Unsupervised Anomaly Detection Using Python 
  • Principal Component Analysis ( PCA ) – A Detailed Overview
  • Hierarchical Clustering – How Does It Works And Its Types
  • What Is Dbscan Clustering Algorithm In Machine Learning
  • K-means Clustering In Machine Learning 
  • Support Vector Machine ( Svm ) Algorithm In Machine Learning

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