Decision Tree in Data Mining and Machine Learning - Algorithm Tutorial
This 'Decision Tree in Data Mining' video will help you to comprehensively learn all the concepts of decision tree such as Impurity, Gini index, and pruning.
Neural Network Tutorial - Artificial Neural Network and Backpropagation in Neural Networks
In this 'Neural Network' Tutorial, you will comprehensively learn about all the concepts of Artificial neural networks and the importance of Back-propagation in Neural Networks.
Probability and Statistics - Bayes Theorem Probability - Normal Distribution Probability
Probability Theory and Statistics are very essential when it comes to data science or predictive modeling as they form the basis for decision making. Thus it becomes, extremely important for a data scientist to be good with probability.
Deep Learning Full Course - Complete Deep Learning for Beginners
From Google’s Self Driving Car to Apple’s Siri, all of these are applications of Deep Learning. So, keeping in mind, the importance of deep learning, we have come up with this full course on ‘Deep Learning’.
Artificial Intelligence Tutorial for Beginners - AI Full Course
Keeping the importance of artificial intelligence in mind, we have come up with this full course on Artificial Intelligence.
Statistics for Machine Learning - Full Course
Comprehensive overview of statistical concepts for machine learning, covering probability, distributions, hypothesis testing, and practical implementation in R.
Exception and File Handling in Python
Learn Python file handling and exception management techniques, including reading, writing, and manipulating text files, as well as implementing error handling strategies for robust code.
Flask Python
Learn to deploy machine learning models using Flask, a Python web framework. Explore Flask's capabilities, advantages, and applications in this comprehensive tutorial.
Linked List in Python
Comprehensive tutorial on implementing linked lists in Python, covering singly, doubly, and circular lists with detailed explanations of traversal, insertion, and deletion operations.
Types of Cyber Security
Explore various cybersecurity types including network, information, application, cloud, IoT, and mobile security. Learn their importance, implementation, and industry applications.
Support Vector Machines
Comprehensive introduction to Support Vector Machines, covering theory, kernel functions, advantages, applications, and practical implementation in Python for machine learning enthusiasts.
Java Basic Programs
Learn essential Java programming concepts through hands-on examples, including string manipulation, mathematical algorithms, and array operations. Ideal for beginners seeking practical coding skills.
Machine Learning Applications
Explore text mining applications in machine learning, covering techniques, challenges, transformations, and model building using logistic regression and TF-IDF for practical implementation.
Oracle SQL Tutorial
Comprehensive introduction to Oracle SQL, covering table creation, relational models, functions, clauses, joins, and database objects. Ideal for beginners seeking practical skills in data management and manipulation.
Machine Learning Algorithms
Explore key machine learning algorithms including Linear Regression, Naive Bayes, KNN, SVM, and Random Forest. Learn their practical applications and importance in modern technology.
OpenCV Tutorial for Absolute Beginners
Comprehensive introduction to OpenCV in Python, covering installation, computer vision processes, face detection, and recognition. Includes hands-on exercises and applications in deep learning.
Digital Image Processing Using Python
Learn digital image processing with Python, covering fundamentals, computer vision, CNNs, and practical applications. Gain hands-on experience using popular libraries and explore advanced techniques in this comprehensive tutorial.
Data Science with Python Full Course
Comprehensive introduction to data science, covering statistics, Python, machine learning, databases, exploratory analysis, visualization, deep learning, and neural networks with practical examples.
Deep Learning Tutorial with Python
Comprehensive tutorial on deep learning with Python, covering essential libraries, machine learning concepts, neural networks, and computer vision with practical demonstrations and examples.
Machine Learning with Python for Beginners
Learn Python libraries, machine learning concepts, regression techniques, Naive Bayes, and deep learning fundamentals. Gain practical skills through demonstrations and examples to kickstart your machine learning journey.
Supervised Machine Learning with Tree-Based Models
Learn supervised machine learning using tree-based models. Explore decision trees and random forests, with practical Python implementations for real-world problem-solving and performance optimization.