Matplotlib Python Tutorial
Learn data visualization with Matplotlib in Python. Master various plot types including line, bar, scatter, histogram, and pie charts to effectively represent and analyze data.
Pandas Python Tutorial - Python Programming
Learn Pandas for efficient data manipulation and analysis in Python, covering series, dataframes, indexing, and essential functions for data science projects.
Numpy Python Tutorial - Python for Beginners
Comprehensive tutorial on NumPy library for Python, covering array creation, manipulation, mathematical operations, and matrix handling. Ideal for beginners seeking to enhance data processing skills.
Central Limit Theorem - Probability and Statistics for Beginners
Comprehensive tutorial on Central Limit Theorem, covering sampling, population, implementation in Python, hypothesis testing, and error types. Ideal for beginners in probability and statistics.
Machine Learning Full Course - Learn Machine Learning
This video will act as a Machine Learning Full Course, which will help you start as a beginner and take your Machine Learning skills to an advanced level.
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’.
Linear Regression Full Course
This “Linear Regression” Tutorial by Great Learning would help you to comprehensively learn all the underlying concepts of Linear Regression.
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.
JDBC in Java
Learn to connect Java applications with databases using JDBC. Master the architecture, drivers, and implementation steps to create full-fledged applications with database integration.
Selenium with Python
Learn to integrate Selenium with Python for automated testing, including WebDriver usage, locators, PyTest, and practical applications like WhatsApp bot automation and web scraping.
Crash Course in PHP
Learn PHP fundamentals including syntax, variables, control statements, functions, and arrays in this comprehensive tutorial for web development beginners.
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.
Dev C++ Tutorial for Beginners
Learn to use Dev C++, a free IDE for Windows and console applications. Covers installation, features, editor, shortcuts, and sample program demo.
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.
Java Interview Questions
Comprehensive guide covering 100 essential Java interview questions for beginners and experienced developers, including coding challenges and detailed explanations.
JavaScript Interview Questions
Comprehensive guide covering 70 essential JavaScript interview questions, from basics to advanced topics like data types, arrays, functions, and OOP concepts.
Python Pandas Tutorial
Master Python Pandas for data manipulation and analysis. Learn DataFrames, Series, indexing, and aggregation operations to efficiently handle numerical tables and time series data.
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.