This course gives you a basic knowledge of statistics. It is intended for students with basic knowledge of Python syntax as they will be working with NumPy and pandas modules. During the course, you will become familiar with the basic concepts and then gradually move on to more complex concepts and tasks.

Unlock the Power of Memory Manipulation. Dive deep into the fundamentals of programming with this comprehensive course designed for beginners and individuals seeking to strengthen their knowledge on pointers and references in C++. Mastering these essential concepts is crucial for unleashing the full potential of your programming skills.

C++ Loops from scratch. Master one of the fundamental building blocks for programming. This course is perfect for beginners and those looking to solidify their understanding of loops.

Explore the world of C++ functions and delve into their fundamental concepts and practical applications. Gain proficiency in declaring, using, and optimizing functions, including parameter handling, scope management, and function overloading. Learn about recursion, templates, and lambda expression for robust C++ programming. Develop the skills to create modular, efficient, and reusable functions for real-world coding challenges.

In this project, we will delve into the fundamentals of NumPy, exploring its core features and uncovering the reasons behind its significant impact on scientific computing. By understanding its architecture and capabilities, we will grasp why it is considered an essential tool for data scientists, researchers, and developers working in the realm of data analysis, machine learning, and beyond.

We will use pandas to analyze departmental data by exploring, cleaning, and manipulating the dataset. Starting with basic inspection and data cleaning, we'll perform filtering, merge datasets, apply advanced filtering using multiple conditions, and finally group the data to extract meaningful insights.

Linear Regression is a crucial concept in predictive analytics. It is widely used by data scientists, data analytics, and statisticians as it is easy to build and interpret but powerful enough for many tasks.

In machine learning, classification is used in predictive modeling to assign input data with a class label. Sounds difficult? Don't worry! Let's cope with this! Welcome to the ML!

In this project, we are going to understand how to handle Date and Times in Python.

Unlock the power of memory management. Designed seasoned programmers, this course provides a deep dive into one of the most crucial aspects of modern development and revise about pointers and references. With Smart Pointers, you'll learn how to effectively manage memory allocation and deallocation, avoiding common pitfalls like memory leaks and dangling pointers. Our expert instructors guide you through the intricacies of unique_ptr, shared_ptr, and weak_ptr, empowering you to write safer and more robust code.

In this project, we will study how to create, modify, and extract data from Excel spreadsheets using Python code.

We are going to identify fake news by analyzing text data and determining whether articles are legitimate or deceptive. We will preprocess the text data using natural language processing techniques and apply machine learning algorithms to build and evaluate classification models. By the end of the project, we aim to develop an effective tool that can accurately distinguish between real and fake news.

Logistic regression is a statistical method for analyzing a dataset in which there are one or more independent variables that determine an outcome. In this project, we will leverage logistic regression to classify data into two distinct categories. The process will involve data preprocessing, model training, evaluation, and tuning to achieve optimal performance.

Welcome to the Python Ninja Course! This engaging and interactive course is designed to introduce you to the fundamentals of Python programming through a fun and educational game. You'll guide a ninja through various challenges, using Python to control movements and interact with objects like sushi. Starting with the basics, you'll learn how to navigate the map, pick up and place sushi, and gradually progress to more complex programming concepts such as functions, loops, and conditional statements. Each chapter offers hands-on practice to reinforce your learning, culminating in exciting challenges that test your skills. Whether you're a complete beginner or looking to sharpen your coding abilities, this course provides a comprehensive and enjoyable learning experience. Join us and become a coding ninja!

Learn how to harness the power of MCP (Model Context Protocol) to connect Claude AI with your everyday tools, automate tasks, and simplify complex workflows. This course covers the foundations of MCP servers, how to set them up, and how to interact with your local environment. You'll also explore practical use cases—from integrating Google services like Gmail and Calendar, to automating Excel analysis and PowerPoint generation using Python and AI. Designed for both technical and non-technical users, this course will help you unlock real productivity gains with minimal manual effort.