Science-Technology Books

Data preprocessing and cleaning are critical steps in the machine learning workflow. This course teaches students how to handle missing data, remove duplicates, and normalize data. Techniques for feature scaling, encoding categorical variables, and d

This course focuses on advanced problem-solving techniques, equipping students with skills to tackle competitive programming and complex coding challenges.

Gain a broad understanding of data science, covering data manipulation, statistical analysis, and visualization techniques. The course introduces key concepts and tools used in data science, including Python programming, data wrangling, and explorato

Enhance your Flask skills by learning about blueprints, testing, and integrating with databases.

Study unsupervised learning techniques with a focus on clustering algorithms. This course covers k-means clustering, hierarchical clustering, and DBSCAN. Students will learn to implement these algorithms in Python, understand their applications, and

Learn the basics of HTML 5, the foundation of web development. This course covers essential HTML tags, structure, and best practices.

Explore the methods for evaluating and validating machine learning models. This course covers techniques such as cross-validation, bootstrap sampling, and performance metrics like precision, recall, and F1 score. Students will learn to identify and a

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A deep dive into the principles and techniques of deep learning. This course covers neural networks, backpropagation, and popular architectures such as CNNs and RNNs. Students will learn to implement deep learning models using frameworks like TensorF

An introduction to JavaScript, a key programming language for web development. Covers basic syntax, data types, functions, and event handling.

Delve into advanced natural language processing techniques, including transformer models, BERT, and GPT. This course covers state-of-the-art methods for text generation, translation, and sentiment analysis. Students will learn to implement advanced N

Expand your PHP skills with intermediate topics like file handling, sessions, and working with databases.

Explore how AI can be used for portfolio management. This course covers asset allocation, portfolio optimization, and risk management using AI techniques.

Build on your Python knowledge with intermediate concepts and techniques. Covers modules, file handling, and object-oriented programming.

This course covers various algorithm design techniques, emphasizing the development of efficient algorithms for complex problems.

Delve into deep learning techniques and their applications in investment. This course covers neural networks, deep reinforcement learning, and advanced deep learning models.

Learn advanced AI techniques for risk management in investment. This course covers predictive analytics, anomaly detection, and AI-driven risk mitigation strategies.

This course covers implementation and application of data structures using Java, focusing on object-oriented principles and efficient coding.

Explore advanced trading strategies enhanced by AI. This course covers high-frequency trading, sentiment analysis, and AI-driven market predictions.

Introduction to jQuery, a fast and concise JavaScript library. Learn how to simplify HTML document traversing, event handling, and animation.