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ibm-project-01-automating-visual-inspection-with-machine-learning-ml

ibm-project-02-transform-photos-to-sketches-and-paintings-with-opencv

Traditionally, a sketch is a crude drawing or painting in which an artist records his first thoughts for a work that will later be produced with more accuracy and detail. Sketches may take on a variety of forms, including drawings, paintings, and drawings on paper.

ibm-project-03-analyzing-spreadsheet-data-with-python

Spreadsheets are computer programs that allow users to enter, view, and change information in a gridlike format. One of the most useful programs on a PC is a spreadsheet, which allows users to organize data in tabular form. A spreadsheet's primary purpose is to store numerical data and sometimes a few words of text.

ibm-project-04-build-a-personal-movie-recommender-with-django

A movie recommendation system, also known as a movie recommender system, is a way of filtering or predicting the users' film preferences based on their previous selections and behaviors. This method is powered by machine learning (ML).

ibm-project-05-classify-recipe-text-to-cuisine-using-nlp-and-logistic-regression

Northern California has plenty with lush greens, including dark purple kale and vivid pink and yellow chard. In South Korea, brilliant red kimchi greets you, while the scent of the sea pulls your attention to squids crawling close. https://www.kaggle.com/datasets/kaggle/recipe-ingredients-dataset

ibm-project-06-classification-of-yelp-reviews-using-sentiment-analysis

Social media sentiment analysis is popular. It helps companies understand their brand, product, or service. In this Guided Project, you will learn many Natural Language Processing techniques to help you understand Yelp company reviews and construct and test a classification model that divides them by polarity.

ibm-project-07-identify-stop-signs-with-transfer-learning

As part of the machine learning team for a corporation developing self-driving cars, you are working on a new stop sign detection technology. In order to determine if there is a stop sign when the car is on the road, your team proposes to capture snapshots every second, signaling the car to stop when there's a stop sign detected in the image.

image-contrast-adjustment-through-graphical-user-interface-in-opencv

The difference in brightness or color between two different aspects of an item that serves to differentiate the two aspects is referred to as contrast. The difference in color and brightness between one item and other things that are within the same field of vision is what determines contrast in the visual sense of the actual world.

important-machine-learning-deep-learning-image-processing-learning-resources.

introductory-guideline-for-data-science-machine-learning-deep-learning-image-processing-statistics

Welcome to our comprehensive guide on the exciting fields of Data Science, Machine Learning, Deep Learning, Image Processing, Statistics, Natural Language Processing (NLP), and Computer Vision! Let's explore and innovate together!

machine-learning-book-collections

Machine learning is the study and development of data-driven strategies to enhance task performance. AI includes it.

machine-learning-engineer-roadmap

A Machine Learning Engineer roadmap typically involves mastering programming languages (Python, R), mathematics (linear algebra, calculus), statistics, and deep learning frameworks (TensorFlow, PyTorch) while gaining practical experience in data preprocessing, model development, and deployment.

machine-learning-interview-questions

Machine Learning is a subset of artificial intelligence that uses algorithms to enable computers to learn from data and make predictions or decisions without explicit programming. It's widely used in applications like image recognition, natural language processing, and recommendation systems.

nlp-interview-questions

Natural Language Processing (NLP) is a field of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language. It involves tasks like text analysis, sentiment analysis, machine translation, and chatbots to facilitate human-computer communication and automate language-related tasks.

nlp-question-answering

python-problem-statement-and-solutions

Create a Python Problem Statement to challenge programmers. Specify a task, input/output requirements, and constraints. Ensure clarity and complexity to evaluate coding skills effectively.

pytorch-developers-roadmap

PyTorch is an open-source machine learning framework that provides a flexible platform for building, training, and deploying deep learning models. It is widely used for research and development in artificial intelligence, offering dynamic computation, GPU acceleration, and a rich ecosystem of libraries and tools.

sampling-methods-in-statistics-data-science-machine-learning-and-deep-learning

Sampling in statistics involves selecting a subset of individuals from a statistical population to estimate characteristics of the whole population.

simple-linear-regression-explained-in-bangla

Linear regression is a fundamental statistical technique used for modeling the relationship between a dependent variable and one or more independent variables. It assumes a linear relationship, where changes in the independent variables result in proportional changes in the dependent variable.

statistical-distributions-mathematical-insights-and-implementation-in-python-r

statistics-interview-questions

Statistics is a branch of mathematics that involves collecting, analyzing, interpreting, and presenting data. It provides tools and techniques to summarize information, make inferences, and support decision-making in various fields, from science and business to social research.

statistics-roadmap-for-data-science-and-data-analysis

Statistics is the field of study that involves collecting, organizing, analyzing, interpreting, and presenting data. It plays a crucial role in various disciplines, from science and business to social sciences and healthcare.

supervised-learning-a-comprehensive-guide

Supervised learning is a fundamental concept in machine learning, a subfield of artificial intelligence (AI). It is a type of machine learning where an algorithm learns from labeled training data to make predictions or decisions without being explicitly programmed.

supplemental-materials

Explore AI with resources like 📚 books, 🎧 podcasts, and 🖥️ online courses! Join forums 💬, attend workshops 🛠️, and read journals 📖 to boost your knowledge! 🚀✨🧠

supplemental-materials-for-deep-learning-and-ai-specialization-course

The Deep Learning and AI Specialization course offered by aiQuest Intelligence provides a comprehensive program designed to teach cutting-edge artificial intelligence, neural networks, and deep learning techniques. This course is aimed at equipping you with the skills needed to tackle real-world AI challenges.

tensorflow-developers-roadmap

TensorFlow is an open-source machine learning framework developed by Google. It provides a versatile platform for creating and deploying machine learning models, particularly neural networks, enabling tasks like image recognition, natural language processing, and more.

textomentalnet-a-neural-network-for-sentiment-analysis-of-cancer-patient-mental-health-posts

ultimate-data-science-code-resources

ultimate-data-science-resources

🚀 Welcome to the Unlimited Data Science Resources community! Dive into a wealth of knowledge with curated tutorials, courses, and insights. Elevate your data science journey with boundless learning opportunities! 📊✨

understanding-convolutional-layers

Convolutional layers are a type of neural network layer primarily used in deep learning models for processing data that has a grid-like topology, such as images.