Computer Science

This PDF provides complete and detailed notes on SQL Fundamentals, covering concepts from beginner to advanced foundation level with practical query examples. What you will learn: Introduction to databases and SQL SQL command types (DDL, DML, DQL, DCL, TCL) Database and table creation Data types and constraints Data insertion, updating, and deletion SELECT queries with filtering and sorting Aggregate functions and grouping Joins and subqueries Indexing and transact...

This PDF provides complete and easy-to-understand notes covering the full journey of Python programming from beginner to expert level. What you will learn: Core Python concepts and design principles Advanced data structures and functional programming Object-oriented programming and error handling File handling, APIs, and database integration Data analysis using Pandas and NumPy Visualization, Machine Learning, and Deep Learning NLP and Computer Vision overview Model d...

This PDF provides complete and easy-to-understand notes on Computer Vision using OpenCV in Python, covering image and video processing techniques. What you will learn: Introduction to Computer Vision OpenCV basics and installation Image reading, resizing, and manipulation Color spaces and drawing on images Thresholding and edge detection Contours and object detection Video processing and face detection Real-world applications Python code examples for better underst...

This PDF provides complete and easy-to-understand notes on Natural Language Processing (NLP) in Python, covering key techniques used to analyze and process text data. What you will learn: Introduction to NLP and its importance Text preprocessing techniques Tokenization, stopwords removal, stemming, lemmatization Bag of Words and TF-IDF Sentiment analysis and Named Entity Recognition (NER) Real-world applications Python code examples for better understanding This docu...

This PDF provides complete and easy-to-understand notes on Deep Learning in Python, covering the fundamentals of neural networks and modern AI techniques. What you will learn: Introduction to Deep Learning Neural network structure and working Activation functions (ReLU, Sigmoid, Tanh) Forward propagation and backpropagation Loss functions and optimization techniques Deep learning libraries (TensorFlow, Keras) Real-world applications Python code examples for better und...

This PDF provides complete and easy-to-understand notes on Python Machine Learning using Scikit-learn, covering fundamental concepts and real-world applications. What you will learn: Introduction to Machine Learning Types of machine learning (Supervised, Unsupervised) Popular ML algorithms (Regression, Classification, Clustering) Data preprocessing and feature scaling Train-test split and model training Model evaluation techniques Overfitting and underfitting Real-wor...

This PDF provides complete and easy-to-understand notes on Exploratory Data Analysis (EDA) in Python, an essential step in data analysis and machine learning. What you will learn: Introduction to EDA and its importance Steps involved in data analysis Data loading and inspection using Pandas Handling missing values and data cleaning Univariate, bivariate, and multivariate analysis Correlation analysis and outlier detection Feature engineering concepts Data visualizatio...

What you will learn: Introduction to data visualization Matplotlib basics and different types of plots Line plots, bar charts, histograms, scatter plots Customizing graphs (titles, labels) Seaborn library and its advantages Real-world applications Python code examples for better understanding This document is perfect for: Engineering students Computer Science learners Beginners learning Data Analysis Students preparing for projects and placements File De...

This PDF provides complete and easy-to-understand notes on Python NumPy, a powerful library used for numerical computing and data processing. What you will learn: Introduction to NumPy library NumPy arrays and types (1D, 2D, 3D) Array operations and indexing Slicing and reshaping arrays Mathematical and statistical functions Random number generation Advantages and disadvantages Real-world applications Python code examples for better understanding This document ...

This PDF provides complete and easy-to-understand notes on Python Pandas, one of the most important libraries used for data analysis and data manipulation. What you will learn: Introduction to Pandas library Series and DataFrame concepts Reading and writing data (CSV, Excel) Data inspection and exploration Filtering and selecting data Handling missing values Grouping and merging datasets Real-world applications Python code examples for better understanding This...