Видео ютуба по тегу Protorialsbysaif

Day 26: Agglomerative Clustering | Hierarchical Clustering
Day 26: Agglomerative Clustering | Hierarchical Clustering
Day 25: Clutering Algorithms | K-Means | K-Medoids
Day 25: Clutering Algorithms | K-Means | K-Medoids
Day 23: Simple and Multiple Regression | Numerical and Code example
Day 23: Simple and Multiple Regression | Numerical and Code example
Day 17: Binning & Smoothing Techniques
Day 17: Binning & Smoothing Techniques
Day 20: Feature Selection Techniques | Information Gain | Forward Selection| Backward Elimination
Day 20: Feature Selection Techniques | Information Gain | Forward Selection| Backward Elimination
Day 13: Univariate Analysis in EDA | Chart & Graphs| Matplotlib
Day 13: Univariate Analysis in EDA | Chart & Graphs| Matplotlib
Day 24: Classification Algorithms | Logistic Regression| kNN
Day 24: Classification Algorithms | Logistic Regression| kNN
Day 14: Bivariate and Multivariate Analysis | Demonstration using Matplot
Day 14: Bivariate and Multivariate Analysis | Demonstration using Matplot
Day 15: Descriptive Data Analysis with Python | Pandas|Groupby|Crosstab
Day 15: Descriptive Data Analysis with Python | Pandas|Groupby|Crosstab
Trainable Parameters and Memory Calculation in CNN
Trainable Parameters and Memory Calculation in CNN
Day 22: Introduction to Machine Learning Modeling
Day 22: Introduction to Machine Learning Modeling
Stride and Padding in CNN | Padding Types | Valid Same Full Asymetric
Stride and Padding in CNN | Padding Types | Valid Same Full Asymetric
Day 18: Normalization & Standardization | Min-Max Scaling | Z-Score Normalization
Day 18: Normalization & Standardization | Min-Max Scaling | Z-Score Normalization
Perceptron Learning Algorithm | Perceptron Learning Rule
Perceptron Learning Algorithm | Perceptron Learning Rule