2 тысяч подписчиков
53 видео
Lecture-4: Gradient Descent Algorithm in Machine Learning
Lecture-26: Apply Different Classification Algorithms to predict the Diabetes using Python
Lecture-12: Bias, Variance, Over fitting and Under fitting
PGDM(AI & DS) Students of ASB present their Research papers
Lecture-34: LASSO Regression (L1-Regularization) Algorithm in python
Lecture-45: Feature Selection with Filter Methods (Drop Const, Quasi-Const and Duplicate Features)
Lecture-5: Basic project on Simple Linear Regression with python
My Students Presented their research articles at an International Conference
Lecture-40: Logistic Regression -Theory (Part-I)
Lecture-41: Logistic Regression -Theory (Part-II)
Lecture-11: Implementation of Polynomial Regression Using Python (Part-II)
Lecture-43: Principal Component Analysis (PCA) (Part-II)
Lecture-38: Wine Quality Prediction Using ML (Data Sampling Methods for Imbalanced data set)
Lecture-7: Backward Elimination Method for Feature Selection in Machine Learning by using python
Lecture-37: Wine Quality prediction Using Machine Learning
Lecture-49: Classification of Cotton Leaf Diseases Using AlexNet and Machine Learning Models
Lecture-50: ‘Model Parameters’ and ‘Hyperparameters’ in ML & DL? (Theory)
Lecture-6: Multiple liner Regression with Python.
Lecture-39: Multicollinearity & VIF (Variance Inflation Factor)
Lecture-30: LASSO Regression (L1 regularization )
Lecture-16: Evaluation Metrics -Accuracy, Precision, Recall & f1_Score
Lecture-23: Predicting missing values of Data by Linear Regression Model using python
Lecture-36: Elastic Net Regression Model Using Python
Lecture-33: Ridge Regression with python
Lecture-32: Boston House Price Prediction Using Linear Regression
Lecture-48: Boruta Feature Selection Algorithm with python
Lecture-35: Elastic Net Regression (Theory)
Lecture-47: Linear Discriminant Analysis (LDA) with Python
Lecture-24: Feature Scaling Techniques in Machine Learning
Lecture-31: Iris Flower Prediction using Machine Learning Models
Lecture-14: Machine Learning Algorithms for “Classification”
Lecture-46: Feature Selection with “Correlation” Method by Python
Lecture-44: Feature Selection In Machine Learning
Lecture-42: Dimensionality Reduction: Principal Component Analysis (PCA) (Part-I)
