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Courses & Projects

project

Getting into NumPy Basics

Getting into NumPy Basics

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.

course

Image Synthesis Through Generative Networks

Image Synthesis Through Generative Networks

Discover the artistry behind image generation using generative networks in our course. From theory to practice, delve into the world of generative networks, unlocking the secrets to crafting captivating images from data.

course

Learning Statistics with Python

Learning Statistics with Python

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.

course

Probability Theory Basics

Probability Theory Basics

Probability theory is a fundamental branch of mathematics that deals with the study of uncertainty and randomness. It provides a framework for understanding and quantifying uncertainty in various fields, including statistics, data analysis, machine learning, finance, physics, and more.

project

Departments' Revenue Analysis

Departments' Revenue Analysis

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.

course

Software Architecture Fundamentals

Software Architecture Fundamentals

Software architecture is essential for building scalable, maintainable, and high-performing software systems. This course provides a comprehensive introduction to core design principles and practices, covering both high-level and low-level concepts. We will explore key architectures and modern development techniques, gaining the skills needed to design effective solutions for real-world projects.

project

Unveiling the Power of Data Manipulation with Pandas

Unveiling the Power of Data Manipulation with Pandas

In this project, we are going to understand what Pandas is and why it is so powerful.

project

Building Image Manipulation Pipeline

Building Image Manipulation Pipeline

This project focuses on improving and mastering the essential skills of image manipulation using Python. We will perform all basic operations, from importing and displaying images to saving, resizing, and enhancing them through techniques like smoothing and erosion. Additionally, the project covers more advanced manipulations, such as scaling, rotating, shifting, and edge detection, along with drawing shapes like lines and rectangles. By the end of this project, you will have a comprehensive understanding of how to handle and manipulate images effectively using Python.

course

C++ Smart Pointers

C++ Smart Pointers

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.

course

Classification with Python

Classification with Python

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!

course

Cluster Analysis

Cluster Analysis

Gain a solid understanding of cluster analysis, a key unsupervised learning technique for uncovering patterns in unlabeled data. Explore the essentials of K-Means, Hierarchical Clustering, DBSCAN, and GMMs, and get hands-on experience with real datasets to build confidence in applying clustering to real-world problems.

project

Clustering Demystified

Clustering Demystified

In this project, we are going to understand what a cluster is and how to use it in Python.

course

Data Anomaly Detection

Data Anomaly Detection

Anomaly detection is integral to any data scientist's work: high-quality, cleaned, and well-prepared data is the key to success for almost any machine learning problem.

course

Ensemble Learning

Ensemble Learning

Ensemble Learning is an advanced machine learning technique that combines multiple models to improve overall predictive performance and decision-making when solving real-life tasks.

project

Excel Automation with Python (project)

Excel Automation with Python (project)

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

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Getting into NumPy Basics

Getting into NumPy Basics

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.

course

Image Synthesis Through Generative Networks

Image Synthesis Through Generative Networks

Discover the artistry behind image generation using generative networks in our course. From theory to practice, delve into the world of generative networks, unlocking the secrets to crafting captivating images from data.

course

Learning Statistics with Python

Learning Statistics with Python

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.

course

Probability Theory Basics

Probability Theory Basics

Probability theory is a fundamental branch of mathematics that deals with the study of uncertainty and randomness. It provides a framework for understanding and quantifying uncertainty in various fields, including statistics, data analysis, machine learning, finance, physics, and more.

project

Departments' Revenue Analysis

Departments' Revenue Analysis

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.

course

Software Architecture Fundamentals

Software Architecture Fundamentals

Software architecture is essential for building scalable, maintainable, and high-performing software systems. This course provides a comprehensive introduction to core design principles and practices, covering both high-level and low-level concepts. We will explore key architectures and modern development techniques, gaining the skills needed to design effective solutions for real-world projects.

project

Unveiling the Power of Data Manipulation with Pandas

Unveiling the Power of Data Manipulation with Pandas

In this project, we are going to understand what Pandas is and why it is so powerful.

project

Building Image Manipulation Pipeline

Building Image Manipulation Pipeline

This project focuses on improving and mastering the essential skills of image manipulation using Python. We will perform all basic operations, from importing and displaying images to saving, resizing, and enhancing them through techniques like smoothing and erosion. Additionally, the project covers more advanced manipulations, such as scaling, rotating, shifting, and edge detection, along with drawing shapes like lines and rectangles. By the end of this project, you will have a comprehensive understanding of how to handle and manipulate images effectively using Python.

course

C++ Smart Pointers

C++ Smart Pointers

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.

course

Classification with Python

Classification with Python

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!

course

Cluster Analysis

Cluster Analysis

Gain a solid understanding of cluster analysis, a key unsupervised learning technique for uncovering patterns in unlabeled data. Explore the essentials of K-Means, Hierarchical Clustering, DBSCAN, and GMMs, and get hands-on experience with real datasets to build confidence in applying clustering to real-world problems.

project

Clustering Demystified

Clustering Demystified

In this project, we are going to understand what a cluster is and how to use it in Python.

course

Data Anomaly Detection

Data Anomaly Detection

Anomaly detection is integral to any data scientist's work: high-quality, cleaned, and well-prepared data is the key to success for almost any machine learning problem.

course

Ensemble Learning

Ensemble Learning

Ensemble Learning is an advanced machine learning technique that combines multiple models to improve overall predictive performance and decision-making when solving real-life tasks.

project

Excel Automation with Python (project)

Excel Automation with Python (project)

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

project

Getting into NumPy Basics

Getting into NumPy Basics

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.

course

Image Synthesis Through Generative Networks

Image Synthesis Through Generative Networks

Discover the artistry behind image generation using generative networks in our course. From theory to practice, delve into the world of generative networks, unlocking the secrets to crafting captivating images from data.

course

Learning Statistics with Python

Learning Statistics with Python

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.

course

Probability Theory Basics

Probability Theory Basics

Probability theory is a fundamental branch of mathematics that deals with the study of uncertainty and randomness. It provides a framework for understanding and quantifying uncertainty in various fields, including statistics, data analysis, machine learning, finance, physics, and more.

project

Departments' Revenue Analysis

Departments' Revenue Analysis

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.

course

Software Architecture Fundamentals

Software Architecture Fundamentals

Software architecture is essential for building scalable, maintainable, and high-performing software systems. This course provides a comprehensive introduction to core design principles and practices, covering both high-level and low-level concepts. We will explore key architectures and modern development techniques, gaining the skills needed to design effective solutions for real-world projects.

project

Unveiling the Power of Data Manipulation with Pandas

Unveiling the Power of Data Manipulation with Pandas

In this project, we are going to understand what Pandas is and why it is so powerful.

project

Building Image Manipulation Pipeline

Building Image Manipulation Pipeline

This project focuses on improving and mastering the essential skills of image manipulation using Python. We will perform all basic operations, from importing and displaying images to saving, resizing, and enhancing them through techniques like smoothing and erosion. Additionally, the project covers more advanced manipulations, such as scaling, rotating, shifting, and edge detection, along with drawing shapes like lines and rectangles. By the end of this project, you will have a comprehensive understanding of how to handle and manipulate images effectively using Python.

course

C++ Smart Pointers

C++ Smart Pointers

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.

course

Classification with Python

Classification with Python

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!

course

Cluster Analysis

Cluster Analysis

Gain a solid understanding of cluster analysis, a key unsupervised learning technique for uncovering patterns in unlabeled data. Explore the essentials of K-Means, Hierarchical Clustering, DBSCAN, and GMMs, and get hands-on experience with real datasets to build confidence in applying clustering to real-world problems.

project

Clustering Demystified

Clustering Demystified

In this project, we are going to understand what a cluster is and how to use it in Python.

course

Data Anomaly Detection

Data Anomaly Detection

Anomaly detection is integral to any data scientist's work: high-quality, cleaned, and well-prepared data is the key to success for almost any machine learning problem.

course

Ensemble Learning

Ensemble Learning

Ensemble Learning is an advanced machine learning technique that combines multiple models to improve overall predictive performance and decision-making when solving real-life tasks.

project

Excel Automation with Python (project)

Excel Automation with Python (project)

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