Ash2Tutorial

Strings (pt2)- Inbuilt Method Fully Explained With Examples

Strings (pt1)- Indexing and Slicing Fully Explained With Examples

2 variables - data types - type casting - input function

What is Programming Language ? Why do we use Python ?

Python: Crash Course - Part2

Python: Crash Course - Part1

2 Encoding (pt3): Target and Frequency Encoding - Theory + Code

2 Encoding (pt2): Label and 1 Hot Encoding - Scikit Learn Code

2 Encoding (pt1): Label and 1 Hot Encoding - Theory

2 Create Repository, Push Code and Delete Repository

1 Install Git and SetUp An Account

2 KMeans (Pt2) : Scikit Learn Code

2 K - Means (Pt1) : Theory + Code

1 Machine Learning Model Types: Supervised + Unsupervised + Reinforcement

1 Machine Learning Model Basics: General Idea + Overview

6 Save Model and Encoder: Saving Model and Encoder Using Joblib

2 Support Vector Machine (Pt1) : Theory + Code

3 K-Fold Cross Validation (Pt2) : Application + Code For Image Classification

3 K-Fold Cross Validation (Pt1) : Theory and Algorithm

2 Support Vector Machine (pt2) : Scikit-learn Code With Application in Iris Dataset

2 Linear Regression in single variable On Study-Hours and Scores: Scikit-Learn Code

2 Naive Bayes (pt3) : Application in Titanic Survival Classification

2 Naive Bayes (pt2) : Application in Spam Classification

2 Naive Bayes (pt1) : Full Explanation Of Algorithm

2 Random Forest (pt2): Application with code

2 Random Forest (pt1) : Full Explanation Of Algorithm

2 Decision Tree Classifier (pt1) : Understanding DT With 4 Examples

2 K Nearest Neighbor KNN : Scikit learn Code

2 K Nearest Neighbor KNN (pt1) : Understanding KNN With 5 Examples

2 K Nearest Neighbor KNN (pt2) : Understanding distance metric With 6 Examples