LearnDataScienceWithAbhi

Monday, May 25, 2020

Predictive Modeling - Logistic Regression and it's python implementation(Machine Learning)


Posted by LearnDataScienceWithAbhi at 8:05 AM No comments:
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Labels: accuracy, Artificial, Artificial Intelligence, AUC, Data, Data Science, Deep Learning, F1-score, Logistic Regression, Recall, ROC

Friday, May 22, 2020

Predictive Modeling : Decision Tree and it's python implementation(Machine Learning)


Posted by LearnDataScienceWithAbhi at 11:59 AM No comments:
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Labels: Artificial, Artificial Intelligence, cross validation, Data Science, Decision, Decision Tree, Deep Learning, Entropy, Ginni, Machine, Machine Learning

Sunday, May 17, 2020

Predictive Modeling: Concept of Regularization and its python implementation (Machine Learning)


Posted by LearnDataScienceWithAbhi at 10:51 PM No comments:
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Labels: Artificial, Artificial Intelligence, cross, cross validation, Data, Data Science, elasticnet, l1, l2, lasso, Machine, Machine Learning, Regression, Regularization, Ridge, validation

Friday, May 15, 2020

Predictive Model - Polynomial Regression Python implementation (Machine Learning)


Posted by LearnDataScienceWithAbhi at 8:58 AM No comments:
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Labels: Artificial, Artificial Intelligence, Bias, Deep Learning, Linear, Machine, Machine Learning, Polynomial, Polynomial Regression, Regression, Variance

Tuesday, May 12, 2020

Predictive Model – Multiple Linear Regressions for data having categorical independent variable (Machine Learning)


Posted by LearnDataScienceWithAbhi at 12:03 PM No comments:
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Labels: accuracy, Artificial, Artificial Intelligence, categorical, Data, Data Science, Deep Learning, error, Machine, Machine Learning, MAE, MSE, RMSE, variable

Sunday, May 10, 2020

Predictive Model - Multiple Linear Regression python implementation (Machine Learning)


Posted by LearnDataScienceWithAbhi at 8:04 AM No comments:
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Labels: Artificial, Artificial Intelligence, Data, Data Science, DataScience, Feature Selection, Linear, Linear Regression, Machine, Machine Learning, Multiple, Outlier, Variance Inflation factor, VIF, Z-score

Thursday, May 7, 2020

Predictive Model - Simple Linear Regression python implementation (Machine Learning)


Posted by LearnDataScienceWithAbhi at 2:17 AM No comments:
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Labels: Adjusted, Adjusted R-squared, Artificial, ArtificialIntelligence, Box plot, Boxplot, Deep Learning, Linear, Linear Regression, LinearRegression, Machine, Machine Learning, R-square

Friday, May 1, 2020

Predictive Model - Mathematics behind linear regression (Machine Learning)


Posted by LearnDataScienceWithAbhi at 11:49 AM No comments:
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Labels: Data, Data Science, DataScience, Deep Learning, Intuition, Linear, LinearRegression, Machine, Machine Learning, Mathematics, Model, Predictive, Predictive Model, PredictiveModel, Regression, Supervised Learning
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Blog Archive

  • ▼  2020 (28)
    • ►  July (1)
    • ►  June (3)
    • ▼  May (8)
      • Predictive Modeling - Logistic Regression and it's...
      • Predictive Modeling : Decision Tree and it's pytho...
      • Predictive Modeling: Concept of Regularization an...
      • Predictive Model - Polynomial Regression Python im...
      • Predictive Model – Multiple Linear Regressions for...
      • Predictive Model - Multiple Linear Regression py...
      • Predictive Model - Simple Linear Regression pyth...
      • Predictive Model - Mathematics behind linear regre...
    • ►  April (1)
    • ►  March (10)
    • ►  February (5)
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