Канал: Heapify

Leetcode Solution #20 - Valid Parentheses | DSA Basics Series

Leetcode Solution #20 - Valid Parentheses | DSA Basics Series

Solve any Question of Heights and Distances - Applications of Trigonometry - Class 10 - Mathematics

Solve any Question of Heights and Distances - Applications of Trigonometry - Class 10 - Mathematics

Real Life Engineer Explains Bread Board - Understanding Practical Electronic - 101

Real Life Engineer Explains Bread Board - Understanding Practical Electronic - 101

10.2 Exercise Solutions (Q6 to Q10) - Circles - Class 10 - Mathematics - CBSE

10.2 Exercise Solutions (Q6 to Q10) - Circles - Class 10 - Mathematics - CBSE

10.2 Exercise Solutions (Q1 to Q5) - Circles - Class 10 - Mathematics - CBSE

10.2 Exercise Solutions (Q1 to Q5) - Circles - Class 10 - Mathematics - CBSE

The Ultimate Goal of School Education! - Why do Schools teach Subjects we don't Like?

The Ultimate Goal of School Education! - Why do Schools teach Subjects we don't Like?

10.1 Exercise Solutions - Circles - Class 10 - Mathematics - CBSE

10.1 Exercise Solutions - Circles - Class 10 - Mathematics - CBSE

Circles NCERT Example Questions - Chapter 10 - Class 10 CBSE - Mathematics

Circles NCERT Example Questions - Chapter 10 - Class 10 CBSE - Mathematics

Class 10 - Circles Theory & Concepts - CBSE Mathematics

Class 10 - Circles Theory & Concepts - CBSE Mathematics

Concept Understanding - Photoelectric Effect & Particle Nature of Light - Physics

Concept Understanding - Photoelectric Effect & Particle Nature of Light - Physics

Dictionaries | Syntax, Access, Operations, Indexing, Manipulation | Python for Data Analysis

Dictionaries | Syntax, Access, Operations, Indexing, Manipulation | Python for Data Analysis

Sets in python | Syntax, Declaration, Manipulation | Python for Data Analysis

Sets in python | Syntax, Declaration, Manipulation | Python for Data Analysis

Lists in Python | Python for Data Analysis | Machine Learning & Artificial Intelligence Fundamentals

Lists in Python | Python for Data Analysis | Machine Learning & Artificial Intelligence Fundamentals

Fundamentals of Machine Learning and Artificial Intelligence | Course Introduction

Fundamentals of Machine Learning and Artificial Intelligence | Course Introduction

Intuitive Question 1 - Palindromic Substrings | LeetCode question 647

Intuitive Question 1 - Palindromic Substrings | LeetCode question 647

Contest Question 1 - Find the rankings | GFG Amazon Test Series Question

Contest Question 1 - Find the rankings | GFG Amazon Test Series Question

Develop Intuition for KMP Algorithm | LPS ( Longest Prefix Suffix array)

Develop Intuition for KMP Algorithm | LPS ( Longest Prefix Suffix array)

Develop Intuition in Pattern Searching | Rabin Karp | Rolling Hash | Naive Approach

Develop Intuition in Pattern Searching | Rabin Karp | Rolling Hash | Naive Approach

Backtracking Overview | Developing Intuition

Backtracking Overview | Developing Intuition

Strings Overview - Part 1 | Developing Intuition

Strings Overview - Part 1 | Developing Intuition

Preorder Traversal of Binary Tree | Recursive and Iterative

Preorder Traversal of Binary Tree | Recursive and Iterative

Inorder Traversal of Binary Tree | Recursive and Iterative

Inorder Traversal of Binary Tree | Recursive and Iterative

Overview of Trees in DSA

Overview of Trees in DSA

Generate N numbers from given digits

Generate N numbers from given digits

Sort a Stack using Recursion

Sort a Stack using Recursion

Reverse a Stack using Recursion | Heapify

Reverse a Stack using Recursion | Heapify

Supervised RNN | Working | I/O Pairs | Long Term Dependencies | LSTM

Supervised RNN | Working | I/O Pairs | Long Term Dependencies | LSTM

Recurrent Neural Networks (RNN) | Applications

Recurrent Neural Networks (RNN) | Applications

Points about CNNs

Points about CNNs

Overfitting Problem | Regularization | Dropout

Overfitting Problem | Regularization | Dropout

CNN Architecture | Fully Connected Layer | Filters | Convolution | Stride & Padding | Pooling

CNN Architecture | Fully Connected Layer | Filters | Convolution | Stride & Padding | Pooling

Convolutional Neural Networks (CNN) | Applications | CNN v/s ANN

Convolutional Neural Networks (CNN) | Applications | CNN v/s ANN

Points about Backpropagation

Points about Backpropagation

Backpropagation for Classification | Training a Deep Learning Model

Backpropagation for Classification | Training a Deep Learning Model

Backpropagation for Regression | Training a Deep Learning Model

Backpropagation for Regression | Training a Deep Learning Model

Points about Neural Networks

Points about Neural Networks

Activation Functions | Need | Types

Activation Functions | Need | Types

Architecture of a Neural Network | Mathematical Representation

Architecture of a Neural Network | Mathematical Representation

Neural Network | Artificial Neural Network

Neural Network | Artificial Neural Network

Deep Learning | Introduction | Applications

Deep Learning | Introduction | Applications

Points about Association Analysis

Points about Association Analysis

Association Analysis | Implementation | APRIORI Algorithm

Association Analysis | Implementation | APRIORI Algorithm

Support | Confidence | Lift | Pruning

Support | Confidence | Lift | Pruning

Item Sets | Association Rules | Pruning

Item Sets | Association Rules | Pruning

Association Analysis | Introduction | Applications

Association Analysis | Introduction | Applications

Points about Dimensionality Reduction

Points about Dimensionality Reduction

Principal Component Analysis | Step by step working

Principal Component Analysis | Step by step working

Linear Transformation | Eigen Values | Eigen Vectors

Linear Transformation | Eigen Values | Eigen Vectors

Variance and Covariance

Variance and Covariance

Dimensionality Reduction | Feature Selection | Feature Extraction | PCA

Dimensionality Reduction | Feature Selection | Feature Extraction | PCA

Points about Recommender Systems

Points about Recommender Systems

Collaborative Filtering | Algorithm Implementation

Collaborative Filtering | Algorithm Implementation

Collaborative Filtering | Neighbor Selection | Algorithm Working

Collaborative Filtering | Neighbor Selection | Algorithm Working

Content Based Filtering | Algorithm Working

Content Based Filtering | Algorithm Working

Recommender Systems | Introduction | Types

Recommender Systems | Introduction | Types

Points about Clustering

Points about Clustering

DBSCAN | Density Based Clustering | Core Points | Border Points | Outliers

DBSCAN | Density Based Clustering | Core Points | Border Points | Outliers

Handling Categorical Data | Converting Categorical Data into Numerical Data | Ordinal & Nominal Data

Handling Categorical Data | Converting Categorical Data into Numerical Data | Ordinal & Nominal Data

Hierarchical v/s K-Means Clustering

Hierarchical v/s K-Means Clustering

Hierarchical Clustering - Stopping Condition | Single Linkage | Complete Linkage | Average Linkage

Hierarchical Clustering - Stopping Condition | Single Linkage | Complete Linkage | Average Linkage

Hierarchical Clustering - Introduction | Algorithm Working

Hierarchical Clustering - Introduction | Algorithm Working

Optimum value of K in K-means Clustering | The elbow curve

Optimum value of K in K-means Clustering | The elbow curve

K-Means Clustering - Introduction | Algorithm working

K-Means Clustering - Introduction | Algorithm working

Approaches to Clustering | Agglomerative | Divisive | dendrograms

Approaches to Clustering | Agglomerative | Divisive | dendrograms

Clustering | Distance Measuring Techniques | Euclidean | Manhattan

Clustering | Distance Measuring Techniques | Euclidean | Manhattan

Unsupervised Machine Learning - Intro | Clustering | Association Analysis | Dimensionality Reduction

Unsupervised Machine Learning - Intro | Clustering | Association Analysis | Dimensionality Reduction

Support Vector Machines | Linear & Non-Linear SVM | Kernel Function

Support Vector Machines | Linear & Non-Linear SVM | Kernel Function

Ensemble Learning & Random Forest | Bagging | Boosting

Ensemble Learning & Random Forest | Bagging | Boosting

CART | Decision Tree | Information Gain

CART | Decision Tree | Information Gain

ROC Curve | AUC | TPR and FPR

ROC Curve | AUC | TPR and FPR

Performance Metrics | Accuracy | Precision | Recall | F1 Score

Performance Metrics | Accuracy | Precision | Recall | F1 Score

Confusion Matrix | Evaluate Performance of a ML model

Confusion Matrix | Evaluate Performance of a ML model

Logistic Regression | Sigmoid Function | The S-curve

Logistic Regression | Sigmoid Function | The S-curve

Supervised Machine Learning | Regression | Classification

Supervised Machine Learning | Regression | Classification

Points about Linear Regression

Points about Linear Regression

Linear Regression | Correlation | R2 Value | Spurious Correlation

Linear Regression | Correlation | R2 Value | Spurious Correlation

Predictive Data Analysis | Predictive Analysis Life Cycle

Predictive Data Analysis | Predictive Analysis Life Cycle

Python Libraries for Data Analysis | NumPy | Pandas

Python Libraries for Data Analysis | NumPy | Pandas

EDA | Life Cycle | Types of Data

EDA | Life Cycle | Types of Data

Modules & Packages in Python | Modularizing | Examples | Import Statement

Modules & Packages in Python | Modularizing | Examples | Import Statement

Tuples in Python | Packing & Unpacking

Tuples in Python | Packing & Unpacking

Dictionary in Python | Syntax | Modification | Iteration

Dictionary in Python | Syntax | Modification | Iteration

Sets in Python | Syntax | Manipulation

Sets in Python | Syntax | Manipulation

Lists in Python | Syntax | Indexing | Manipulation | Iteration

Lists in Python | Syntax | Indexing | Manipulation | Iteration

Course Introduction | Target Audience | Motivation

Course Introduction | Target Audience | Motivation

Little Engineers Live Stream

Little Engineers Live Stream

What is Temperature | Class 7 Chemistry

What is Temperature | Class 7 Chemistry

What is an IR Sensor? | Basics of Electronics

What is an IR Sensor? | Basics of Electronics

Elimination Methord with Ex | Linear Equations in 2 variables

Elimination Methord with Ex | Linear Equations in 2 variables

Substitution Methord with Ex | Linear Equations in 2 variables

Substitution Methord with Ex | Linear Equations in 2 variables

Equations reducible to Linear Equations in 2 variables

Equations reducible to Linear Equations in 2 variables

Solutions of Linear Equations in 2 variables

Solutions of Linear Equations in 2 variables

Age Problems | Converting word problem into Linear Equations in 2 variables

Age Problems | Converting word problem into Linear Equations in 2 variables

Graphically represent Linear Equations in 2 variables

Graphically represent Linear Equations in 2 variables

Introduction to Linear Equations in 2 variables

Introduction to Linear Equations in 2 variables

Area of a Triangle Coordinate Geometry

Area of a Triangle Coordinate Geometry

Section Formula Coordinate Geometry

Section Formula Coordinate Geometry

Equidistant point on an Axis Coordinate Geometry

Equidistant point on an Axis Coordinate Geometry

Distance Formula Coordinate Geometry

Distance Formula Coordinate Geometry

Trigonometric Identites

Trigonometric Identites

Complimentary T Ratios

Complimentary T Ratios

Values of Trigonometric ratios at some specific angles | Create your own table of T-Ratios

Values of Trigonometric ratios at some specific angles | Create your own table of T-Ratios

Introduction to Trigonometry | What are T - Ratios | For beginners

Introduction to Trigonometry | What are T - Ratios | For beginners

Ages | Aptitude

Ages | Aptitude

Profit and Loss

Profit and Loss

Train Problems | Aptitude

Train Problems | Aptitude

Semiconductors and Energy Bands in Solids

Semiconductors and Energy Bands in Solids

Mechanism of current conductivity | Semiconductors | 12 standard Physics

Mechanism of current conductivity | Semiconductors | 12 standard Physics

Join on 3 tables, HAVING statement | DBMS SQL Query example 1 | Science Concepts

Join on 3 tables, HAVING statement | DBMS SQL Query example 1 | Science Concepts