Atul Patel

Different Oversampling techniques to handle imbalance data in machine learning | SMOTE | Part3
Different Oversampling techniques to handle imbalance data in machine learning | SMOTE | Part3
Handling Imbalanced datasets using Under-sampling techniques Part2
Handling Imbalanced datasets using Under-sampling techniques Part2
Imbalanced Dataset and issue with imbalanced dataset | what is Under sampling and Oversampling Part1
Imbalanced Dataset and issue with imbalanced dataset | what is Under sampling and Oversampling Part1
Precision Recall Curve in Machine Learning
Precision Recall Curve in Machine Learning
AUC-ROC Curve in Machine Learning
AUC-ROC Curve in Machine Learning
Accuracy, Precision, Recall, TPR, FPR, Specificity, Sensitivity, F1 Score in Machine Learning
Accuracy, Precision, Recall, TPR, FPR, Specificity, Sensitivity, F1 Score in Machine Learning
Confusion matrix, True Positive (TP), True Negative (TN), False Positive (FP),False Negative(FN)
Confusion matrix, True Positive (TP), True Negative (TN), False Positive (FP),False Negative(FN)
Log Loss or Cross Entropy Loss or Cost Function in Logistic Regression Tutorial 4
Log Loss or Cross Entropy Loss or Cost Function in Logistic Regression Tutorial 4
Maximum log likelihood Intuition of Logistic Regression Tutorial 3
Maximum log likelihood Intuition of Logistic Regression Tutorial 3
Credit Card defaulter Prediction using Logistic Regression Tutorial 5
Credit Card defaulter Prediction using Logistic Regression Tutorial 5
Logistic Regression Geometrical Intuition Tutorial 2
Logistic Regression Geometrical Intuition Tutorial 2
Logistic Regression Mathematical Intuition Tutorial 1
Logistic Regression Mathematical Intuition Tutorial 1
Categorical Feature selection using chi squared |Hands-on with Sklearn and Python part2|Tutorial 13
Categorical Feature selection using chi squared |Hands-on with Sklearn and Python part2|Tutorial 13
Categorical Feature selection using chi squared | Hands-on with Scipy and Python part1|Tutorial 12
Categorical Feature selection using chi squared | Hands-on with Scipy and Python part1|Tutorial 12
Feature Selection Embedded Method Tree Based Algorithm Random Forest |Tutorial 11
Feature Selection Embedded Method Tree Based Algorithm Random Forest |Tutorial 11
Feature Selection Embedded Method Lasso L1 Regularization|Tutorial 10
Feature Selection Embedded Method Lasso L1 Regularization|Tutorial 10
Exhaustive Feature Selection | Wrapper Method Part 3 | Tutorial 9
Exhaustive Feature Selection | Wrapper Method Part 3 | Tutorial 9
Backward Feature Selection |Sequential Backward Selection|Wrapper Method Part 2|Tutorial 8
Backward Feature Selection |Sequential Backward Selection|Wrapper Method Part 2|Tutorial 8
Forward Feature Selection |Sequential Forward Selection|Wrapper Method Part1|Tutorial 7
Forward Feature Selection |Sequential Forward Selection|Wrapper Method Part1|Tutorial 7
What is Range is Statistics|Data Science|Machine Learning
What is Range is Statistics|Data Science|Machine Learning
Lasso(L1) ,Ridge(L2) and Elastic-Net(L1/L2) Regularization hands-on python in Machine Learning
Lasso(L1) ,Ridge(L2) and Elastic-Net(L1/L2) Regularization hands-on python in Machine Learning
bias variance tradeoff in machine learning|Data Science
bias variance tradeoff in machine learning|Data Science
underfitting and overfitting in machine learning and how to overcome underfitting and overfitting
underfitting and overfitting in machine learning and how to overcome underfitting and overfitting
Bias Variance in Machine Learning|Data Science
Bias Variance in Machine Learning|Data Science
OLS Statsmodels Summary Table Explanation in details | Linear Regression Machine Learning|Data Scien
OLS Statsmodels Summary Table Explanation in details | Linear Regression Machine Learning|Data Scien
Mathematical Intuition behind Linear Regression with Sklearn|Machines Learning|Data Science
Mathematical Intuition behind Linear Regression with Sklearn|Machines Learning|Data Science
Gradient Descent Hands-on for Linear Regression | Part 2|Machines Learning|Data Science
Gradient Descent Hands-on for Linear Regression | Part 2|Machines Learning|Data Science
Gradient Descent Clearly Explanation for Linear Regression | Part -1|Machines Learning|Data Science
Gradient Descent Clearly Explanation for Linear Regression | Part -1|Machines Learning|Data Science
Linear Regression Statsmodels Library Mathematical Intuition and Hands-on
Linear Regression Statsmodels Library Mathematical Intuition and Hands-on
Verifying the Assumptions of Linear Regression using Python and Stats Library|Part 2|Machines Learn
Verifying the Assumptions of Linear Regression using Python and Stats Library|Part 2|Machines Learn