A Full course on Machine Learning
A Full course on Machine Learning
  • Видео 40
  • Просмотров 20 711
Principal Component Analysis
This video explains principal component analysis as a method of dimensionality reduction. Also it explains relevant Python libraries to find PCA
Просмотров: 93

Видео

Regularization
Просмотров 473 года назад
This video explains two regularization methods called Ridge and Lasso Regression.
Model Selection
Просмотров 583 года назад
This video explains the parameters used to select a machine learning model and subsect selection method of selecting a model.
Bias Variance Tradeoff
Просмотров 893 года назад
This video explains bias-variance tradeoff in machine learning.
K-Nearest Neighbor and Naive Baye's Classifiers
Просмотров 1223 года назад
This video explains two classifier algorithms namely K-nearest neighbor and Naive Baye's Algorithm.
Multivariate LDA and Quadratic Discriminant Analysis
Просмотров 2 тыс.3 года назад
Multivariate LDA and Quadratic Discriminant Analysis
Linear Discriminant Analysis
Просмотров 7463 года назад
This video explains mathematical concepts behind LDA as classification algorithms with an example.
Evaluating Classifier Models: Logistic Regression
Просмотров 1233 года назад
This video explains performance metrics for a classifier model i.e. Accuracy, Recall, Precision, F1-Score and ROC curve.
Gradient Descent Algorithm for Logsistic Regression
Просмотров 1853 года назад
This video explains the gradient descent algorithm for the logistic regression.
Logistic Regression: Estimating Parameters
Просмотров 2,6 тыс.3 года назад
This video briefly explains the mathematical concepts behind estimating parameters for logistic regression problem.
Logistic Regression: Conditional Mean and Sigmoid Function
Просмотров 1373 года назад
This video explains two preliminary concepts called conditional mean or expected value and sigmoid function required for understanding Logistic Regression.
Multiple Linear Regression Lab
Просмотров 383 года назад
This video explains the Python implementation of Multiple Linear Regression algorithms (i) OLS using Matrix operation (2) OLS using StatsModel API (iii) ScikitLearn module
Data Pre-processing Lab
Просмотров 293 года назад
This video explains Python implementation of following preprocessing tasks 1. Data Standardization 2. Data Normalization 3. Encoding categorical variables(replace, label encoder and one hot encoding method)
Classification Introduction
Просмотров 693 года назад
In this video I define the classification in comparison with regression problem. Also giving you four reasons why regression algorithms are not useful to solve classification problems.
Handling Categorical Data in Python
Просмотров 313 года назад
This video explains Python-specific methods to handle categorical data.
Feature Scaling
Просмотров 933 года назад
Feature Scaling
Linear Regression Assumptions
Просмотров 603 года назад
Linear Regression Assumptions
Gradient Descent Algorithm for Multiple Linear Regression
Просмотров 8813 года назад
Gradient Descent Algorithm for Multiple Linear Regression
Multiple Linear Regression: An Example illustrating OLS
Просмотров 653 года назад
Multiple Linear Regression: An Example illustrating OLS
Multiple Linear Regression: Concept and Mathematics
Просмотров 1073 года назад
Multiple Linear Regression: Concept and Mathematics
Simple Linear Regression through Gradient Descent and Scikit-Learn Method
Просмотров 9383 года назад
Simple Linear Regression through Gradient Descent and Scikit-Learn Method
Simple Linear Regression modeling using Gradient Descent
Просмотров 603 года назад
Simple Linear Regression modeling using Gradient Descent
Implementing Simple Linear Regression in Python
Просмотров 763 года назад
Implementing Simple Linear Regression in Python
Evaluating Simple Regression Model
Просмотров 3353 года назад
Evaluating Simple Regression Model
Estimating Parameters for Simple Linear Regression using Ordinary Least Square Method
Просмотров 10 тыс.3 года назад
Estimating Parameters for Simple Linear Regression using Ordinary Least Square Method
Simple Linear Regression: Required Statistics Background
Просмотров 1533 года назад
Simple Linear Regression: Required Statistics Background
Simple Linear Regression: 7 Key Points to Rember
Просмотров 2673 года назад
Simple Linear Regression: 7 Key Points to Rember
Exploratory Data Analysis Part-III
Просмотров 854 года назад
Exploratory Data Analysis Part-III
Exploratory Data Analysis Part-II
Просмотров 294 года назад
Exploratory Data Analysis Part-II
Exploratory Data Analysis with Python Part-I
Просмотров 704 года назад
Exploratory Data Analysis with Python Part-I

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