LearnDataScienceWithAbhi

Friday, March 27, 2020

Life Cycle of a Machine Learning(ML) project


Posted by LearnDataScienceWithAbhi at 1:39 AM No comments:
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Labels: #Artifical, #ArtificialIntelligence, #Cycle, #Data, #DataScience, #Implementation, #Intelligence, #Learning, #Life, #LifeCycle, #Machine, #Machine Learning, #ML, #project, #Science

Sunday, March 22, 2020

ANOVA test (Hypothesis Testing) and its python implementation


Posted by LearnDataScienceWithAbhi at 11:37 AM No comments:
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Labels: #ANOVA, #ArtificialIntelligence, #DataScience, #Hypothesis, #Machine Learning, #statistics, #Testing

Thursday, March 19, 2020

Chi Square Test (Hypothesis Testing) and its python implementation:


Posted by LearnDataScienceWithAbhi at 10:58 AM No comments:
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Labels: #Artifical, #ArtificialIntelligence, #Chi-squar, #chi-square test, #Hypothesis, #Intelligence, #statistics, #Testing

Monday, March 16, 2020

Statistics: t-test (Hypothesis Testing) and its python implementation


Posted by LearnDataScienceWithAbhi at 10:57 PM No comments:
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Labels: #Artifical, #ArtificialIntelligence, #Hypothesis, #Intelligence, #Learning, #Machine, #Machine Learning, #StandardDeviation, #statistics, #t-test, #Testing, #Variance

Sunday, March 15, 2020

Statistics: Z-test (Hypothesis Testing) and its python implementation


Posted by LearnDataScienceWithAbhi at 4:47 AM No comments:
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Labels: #DataScience, #Hypothesis, #Implementation, #Learning, #Machine, #Machine Learning, #Python, #statistics, #Testing, #Z-table, #Z-test

Friday, March 13, 2020

Statistics for Machine Learning : Hypothesis testing


Posted by LearnDataScienceWithAbhi at 11:46 AM No comments:
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Labels: #ANOVA, #ArtificialIntelligence, #chi-square test, #Hypothesis, #Machine Learning, #Mean, #statistics, #t-test, #Testing, #Z-test

Tuesday, March 10, 2020

Skewness , Kurtosis, Central Limit Theorem and its python demonestration


Posted by LearnDataScienceWithAbhi at 11:03 PM No comments:
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Labels: #AI, #ArtificialIntelligence, #Central, #CentralLimitTheorem, #Kurtosis, #Limit, #NormalDistribution, #Skewness, #Theorem

Sunday, March 8, 2020

Continuous Probability distribution in Machine Learning (ML) and its python implementation


Posted by LearnDataScienceWithAbhi at 9:44 PM No comments:
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Labels: #AI, #ArtificialIntelligence, #Continuous, #ContinuousProbabilityDistribution, #Distribution, #ExponentialDistribution, #GaussianDistribution, #NormalDistribution, #ParetoDistribution, #probability

Friday, March 6, 2020

Discrete Probability distribution in Machine Learning (ML) and its python implementation


Posted by LearnDataScienceWithAbhi at 5:48 AM No comments:
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Labels: #AI, #ArtificialIntelligence, #Binomial, #Data, #Discrete, #Distribution, #DL, #MachineLearning, #PoissonsDistribution, #probability, #probabilityDistribution

Sunday, March 1, 2020

Probability Distribution in Machine Learning (ML)


Posted by LearnDataScienceWithAbhi at 6:38 AM 1 comment:
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Labels: #AI, #ArtificialIntelligence, #Continuous, #Data, #DataScience, #DataTypes, #Discrete, #Distribution, #LevelOfMeasurement, #MachineLearning, #probability, #probabilityDistribution
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Blog Archive

  • ▼  2020 (28)
    • ►  July (1)
    • ►  June (3)
    • ►  May (8)
    • ►  April (1)
    • ▼  March (10)
      • Life Cycle of a Machine Learning(ML) project
      • ANOVA test (Hypothesis Testing) and its python imp...
      • Chi Square Test (Hypothesis Testing) and its pytho...
      • Statistics: t-test (Hypothesis Testing) and its py...
      • Statistics: Z-test (Hypothesis Testing) and its py...
      • Statistics for Machine Learning : Hypothesis testing
      • Skewness , Kurtosis, Central Limit Theorem and its...
      • Continuous Probability distribution in Machine Lea...
      • Discrete Probability distribution in Machine Learn...
      • Probability Distribution in Machine Learning (ML)
    • ►  February (5)
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