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Data Analysis & Visualization: Python | Excel | BI | Tableau

Welcome to the exciting world of Data Analysis & Visualization! In today's digital age, businesses generate enormous data every day, and understanding this data is critical to success. That's where data analysts come in - responsible for connecting, cleaning & transforming data, analyzing and visualizing data, in order to help businesses make informed decisions. In this course, we will cover the essentials of analyzing and visualizing data using four powerful tools - Python, Excel, BI, and Table

Data Analysis with Pandas and Python

Analyze Data Quickly and Easily with Python's Powerful Pandas Library! Data analysis has become an integral part of the business world since data has become more abundant and accessible than ever. Professionals in different fields must understand how to systematize, differentiate, and analyze data effectively. Pandas, a Python library, has become immensely popular. Pandas is a data manipulation and analysis tool, and it allows users to handle files in various formats, including CSV, Excel, and

Data Analysis with Python, Pandas and NumPy

Data analysis is the process of examining, transforming, and modeling data to extract useful information that can support decision-making. In this regard, many data analysis tools exist, but Python is one of the most preferred languages used by data analysts to solve real-world problems. Python is a high-level programming language that has numerous benefits, including having a simple syntax, an object-oriented approach, and features that support dynamic semantics. This article focuses on the Dat

Data Manipulation in Python: A Pandas Crash Course

If you're a data scientist or anyone else whose job includes performing data analysis and data manipulation on a regular basis, you know how frustrating it can be to deal with messy, unstructured data. This is where Python libraries like Pandas come in handy. They help make data analysis and manipulation a breeze, even if your data is far from clean. Course Overview The Data Manipulation in Python: A Pandas Crash Course teaches you how to use Python and Pandas for data analysis and data manip

Data Science and Machine Learning Basic to Advanced

Are you interested in learning the ins and outs of data science and machine learning? Look no further than the "Data Science and Machine Learning Basic to Advanced" course! This all-encompassing course offers a complete introduction to the world of data science, covering all of the necessary basics before diving into the advanced concepts. With a course rating aggregate of 4.40836 and 169 reviews, it is clear that students love the content and quality of this course. What You Will Learn The c

Data Science : Complete Data Science & Machine Learning

Master Data Science and Machine Learning with this Comprehensive Course If you’re looking to develop your data science and machine learning skills, this comprehensive course could be exactly what you need. With over 20 hours of content, 11 projects, 250+ lectures, and an impressive rating aggregate of 4.42955, this course is one of the top options for individuals looking to acquire a thorough understanding of data science and machine learning. Course Overview The Data Science : Complete Data

Data Science: Deep Learning and Neural Networks in Python

If you're interested in machine learning and data science, you've probably heard of deep learning. Perhaps you're even familiar with neural networks, a subset of deep learning. But what exactly do these terms mean, and how can you utilize them in Python? Course Overview is an in-depth course that will teach you everything you need to know about building artificial neural networks using deep learning techniques. This course assumes you already have some background knowledge in the field of mac

Data Science: Machine Learning and Deep Learning with Python

Learn Data Science with Data Parsing, Data Visualization, Data Processing, Supervised & Unsupervised Machine Learning If you are interested in learning Data Science and Machine learning, then you must check this course out! This course involves everything you need to know about data science, the fundamentals of machine learning, and deep learning. The course includes a complete crash course of Python, which alone is incredibly informative and detailed. With Python being one of the fastest-growi

Data Science & Machine Learning(Theory+Projects)A-Z 90 HOURS

What is Data Science & Machine Learning (Theory+Projects)A-Z 90 HOURS course? The Data Science & Machine Learning (Theory+Projects)A-Z 90 HOURS course is a comprehensive course designed to teach the most in-demand skills in the real world. This course aims to equip students with all the necessary knowledge, concepts, and methodologies of Data Science and Machine Learning with regard to Python. In this course, students will learn statistics for Data Science, Machine Learning for Data Science, De

Data Science: Modern Deep Learning in Python

If you're looking to expand your deep learning skills, the Data Science: Modern Deep Learning in Python course is just the thing for you. This course is a continuation from the previous course offered, Deep Learning in Python. In this course, you will have the opportunity to learn about the modern libraries used in the field of deep learning, including Theano, Keras, PyTorch, CNTK, MXNet and Tensorflow. The Focus The course is more about teaching you how to understand the fundamentals, which

Deep Learning A-Z™ 2023: Neural Networks, AI & ChatGPT Bonus

The field of Artificial Intelligence is growing exponentially, and Deep Learning is a fundamental part of it. Because Deep Learning algorithms are the only ones that can solve complex problems, it’s essential to have a complete understanding of it. That’s where the course Deep Learning A-Z™ 2023: Neural Networks, AI & ChatGPT Bonus comes in. Course Description Deep Learning A-Z™ 2023: Neural Networks, AI & ChatGPT Bonus is a course that has been structured differently from other training prog

Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)

If you're already well-versed in deep learning, you would know that convolutional neural networks (CNNs) are frequently used in computer vision tasks. They can detect objects in images, classify them, and even localize them. To take your computer vision skills to the next level, you might want to try "Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)". Course Overview The course is all about advanced computer vision applications of CNNs. It covers high-level building blocks of syste

Deep Learning and Computer Vision A-Z™: OpenCV, SSD & GANs

In today's digital world, there has been an increase in the application of artificial intelligence (AI) and deep learning in many industries such as health, retail, entertainment, and much more. The use of computer vision is a significant aspect of AI that has been employed in these industries with exceptional results. Due to the widespread application of computer vision, many individuals are eager to break into the world of computer vision and leverage the technology to make the world a better

Deep Learning Bootcamp with 5 Capstone Projects

Learn Deep Learning with 5 Real-Time Capstone Projects If you're looking for a comprehensive course to start your journey in deep learning, the Deep Learning Bootcamp is an ideal option. In this course, you will learn about the different types of neural networks like artificial neural networks, convolutional neural networks, and recurrent neural networks. You will also have access to instructor support to help you with any confusion you might face on your learning path. This article will provid

Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs

If you are looking to become a pro at Deep Learning Computer Vision techniques, then the Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs online course is an excellent place to start. This course, with over 20 plus real-world projects, is designed to help you master the latest 2019 concepts in applying Deep Learning to Computer Vision. So, whether you are a beginner or an experienced computer vision developer, this course will provide a proper and complete learning path to improve yo

Deep Learning: Convolutional Neural Networks in Python

If you're interested in deep learning and computer vision, you need to dive deep into Convolutional Neural Networks (CNNs) architecture. It's one of the most powerful architectures that exist for image processing, object detection, and segmentation. Studying this architecture will give you a thorough understanding of how it works. Course Overview The Deep Learning: Convolutional Neural Networks in Python course is designed to help you hone your skills and give you a comprehensive understandin

Deep Learning for Beginners: Core Concepts and PyTorch

Get an Intuitive Understanding of Deep Learning If you have always been interested in artificial intelligence (AI), machine learning, and artificial neural networks but have lacked the technical knowledge to get started with deep learning, this course is perfect for you! The Deep Learning for Beginners: Core Concepts and PyTorch course was designed to help individuals who are interested in deep learning gain an intuitive understanding of the subject. The course assumes little prior knowledge,

Deep Learning for Beginners in Python: Work On 12+ Projects

Are you an Artificial Intelligence enthusiast looking to expand your skills and knowledge in the field? If yes, then Deep Learning for Beginners in Python: Work On 12+ Projects course is the perfect fit for you! This course offers an in-depth understanding of Deep Learning and its complexities in an easy and comprehensive manner. What the Course Offers Deep Learning for Beginners in Python: Work On 12+ Projects course aids in providing hands-on experience on various projects that include Arti

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2D Parallel Distributed Methods 3D Face Mesh Models 3D Object Detection Models 3D Reconstruction 3D Representations 6D Pose Estimation Models Action Recognition Blocks Action Recognition Models Activation Functions Active Learning Actor-Critic Algorithms Adaptive Computation Adversarial Adversarial Attacks Adversarial Image Data Augmentation Adversarial Training Affinity Functions AI Adult Chatbots AI Advertising Software AI Algorithm AI App Builders AI Art Generator AI Art Generator Anime AI Art Generator Free AI Art Generator From Text AI Art Tools AI Article Writing Tools AI Assistants AI Automation AI Automation Tools AI Blog Content Writing Tools AI Brain Training AI Calendar Assistants AI Character Generators AI Chatbot AI Chatbots Free AI Coding Tools AI Collaboration Platform AI Colorization Tools AI Content Detection Tools AI Content Marketing Tools AI Copywriting Software Free AI Copywriting Tools AI Design Software AI Developer Tools AI Devices AI Ecommerce Tools AI Email 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Model Blocks Audio to Text Augmented Reality Methods Auto Parallel Methods Autoencoding Transformers AutoML Autoregressive Transformers Backbone Architectures Bare Metal Bare Metal Cloud Bayesian Reinforcement Learning Behaviour Policies Bidirectional Recurrent Neural Networks Bijective Transformation Binary Neural Networks Board Game Models Bot Detection Cache Replacement Models CAD Design Models Card Game Models Cashier-Free Shopping ChatGPT ChatGPT Courses ChatGPT Plugins ChatGPT Tools Cloud GPU Clustering Code Generation Transformers Computer Code Computer Vision Computer Vision Courses Conditional Image-to-Image Translation Models Confidence Calibration Confidence Estimators Contextualized Word Embeddings Control and Decision Systems Conversational AI Tools Conversational Models Convolutional Neural Networks Convolutions Copy Mechanisms Counting Methods Data Analysis Courses Data Parallel Methods Deep Learning Courses Deep Tabular Learning Degridding Density Ratio Learning Dependency Parsers Deraining Models Detection Assignment Rules Dialog Adaptation Dialog System Evaluation Dialogue State Trackers Dimensionality Reduction Discriminators Distillation Distributed Communication Distributed Methods Distributed Reinforcement Learning Distribution Approximation Distributions Document Embeddings Document Summary Evaluation Document Understanding Models Domain Adaptation Downsampling E-signing Efficient Planning Eligibility Traces Ensembling Entity Recognition Models Entity Retrieval Models Environment Design Methods Exaggeration Detection Models Expense Trackers Explainable CNNs Exploration Strategies Face Privacy Face Recognition Models Face Restoration Models Face-to-Face Translation Factorization Machines Feature Extractors Feature Matching Feature Pyramid Blocks Feature Upsampling Feedforward Networks Few-Shot Image-to-Image Translation Fine-Tuning Font Generation Models Fourier-related Transforms Free AI Tools Free Subscription Trackers Gated Linear Networks Generalization Generalized Additive Models Generalized Linear Models Generative Adversarial Networks Generative Audio Models Generative Discrimination Generative Models Generative Sequence Models Generative Training Generative Video Models Geometric Matching Graph Data Augmentation Graph Embeddings Graph Models Graph Representation Learning Graphics Models Graphs Heuristic Search Algorithms Human Object Interaction Detectors Hybrid Fuzzing Hybrid Optimization Hybrid Parallel Methods Hyperparameter Search Image Colorization Models Image Data Augmentation Image Decomposition Models Image Denoising Models Image Feature Extractors Image Generation Models Image Inpainting Modules Image Manipulation Models Image Model Blocks Image Models Image Quality Models Image Representations Image Restoration Models Image Retrieval Models Image Scaling Strategies Image Segmentation Models Image Semantic Segmentation Metric Image Super-Resolution Models Imitation Learning Methods Incident Aggregation Models Inference Attack Inference Engines Inference Extrapolation Information Bottleneck Information Retrieval Methods Initialization Input Embedding Factorization Instance Segmentation Models Instance Segmentation Modules Interactive Semantic Segmentation Models Interpretability Intra-Layer Parallel Keras Courses Kernel Methods Knowledge Base Knowledge Distillation Label Correction Lane Detection Models Language Model Components Language Model Pre-Training Large Batch Optimization Large Language Models (LLMs) Latent Variable Sampling Layout Annotation Models Leadership Inference Learning Rate Schedules Learning to Rank Models Lifelong Learning Likelihood-Based Generative Models Link Tracking Localization Models Long-Range Interaction Layers Loss Functions Machine Learning Machine Learning Algorithms Machine Learning Courses Machine Translation Models Manifold Disentangling Markov Chain Monte Carlo Mask Branches Massive Multitask Language Understanding (MMLU) Math Formula Detection Models Mean Shift Clustering Medical Medical Image Models Medical waveform analysis Mesh-Based Simulation Models Meshing Meta-Learning Algorithms Methodology Miscellaneous Miscellaneous Components Mixture-of-Experts Model Compression Model Parallel Methods Momentum Rules Monocular Depth Estimation Models Motion Control Motion Prediction Models Multi-Modal Methods Multi-Object Tracking Models Multi-Scale Training Music Music source separation Music Transcription Natural Language Processing Natural Language Processing Courses Negative Sampling Network Shrinking Neural Architecture Search Neural Networks Neural Networks Courses Neural Search No Code AI No Code AI App Builders No Code Courses No Code Tools Non-Parametric Classification Non-Parametric Regression Normalization Numpy Courses Object Detection Models Object Detection Modules OCR Models Off-Policy TD Control Offline Reinforcement Learning Methods On-Policy TD Control One-Stage Object Detection Models Open-Domain 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Replicated Data Parallel Representation Learning Reversible Image Conversion Models RGB-D Saliency Detection Models RL Transformers Robotic Manipulation Models Robots Robust Training Robustness Methods RoI Feature Extractors Rule-based systems Rule Learners Sample Re-Weighting Scene Text Models scikit-learn Scikit-learn Courses Self-Supervised Learning Self-Training Methods Semantic Segmentation Models Semantic Segmentation Modules Semi-supervised Learning Semi-Supervised Learning Methods Sentence Embeddings Sequence Decoding Methods Sequence Editing Models Sequence To Sequence Models Sequential Blocks Sharded Data Parallel Methods Skip Connection Blocks Skip Connections SLAM Methods Span Representations Sparsetral Sparsity Speaker Diarization Speech Speech Embeddings Speech enhancement Speech Recognition Speech Separation Models Speech Synthesis Blocks Spreadsheet Formula Prediction Models State Similarity Metrics Static Word Embeddings Stereo Depth Estimation Models Stochastic Optimization Structured Prediction Style Transfer Models Style Transfer Modules Subscription Managers Subword Segmentation Super-Resolution Models Supervised Learning Synchronous Pipeline Parallel Synthesized Attention Mechanisms Table Parsing Models Table Question Answering Models Tableau Courses Tabular Data Generation Taxonomy Expansion Models Temporal Convolutions TensorFlow Courses Ternarization Text Augmentation Text Classification Models Text Data Augmentation Text Instance Representations Text-to-Speech Models Textual Inference Models Textual Meaning Theorem Proving Models Thermal Image Processing Models Time Series Time Series Analysis Time Series Modules Tokenizers Topic Embeddings Trajectory Data Augmentation Trajectory Prediction Models Transformers Twin Networks Unpaired Image-to-Image Translation Unsupervised Learning URL Shorteners Value Function Estimation Variational Optimization Vector Database Video Data Augmentation Video Frame Interpolation Video Game Models Video 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