The 2024 Data Science & Machine Learning Courses Bundle for $39

Expires September 05, 2124 07:59 PST Buy now and get 85% off . Data Science | The Power of ChatGPT in Python & Data Science. KEY FEATURES. Unleashing the Power of ChatGPT in Python for Data Science. Explore the transformative power of ChatGPT in Python and data science. ChatGPT is a powerful tool that data scientists can use to enhance their work. With its natural language processing capabilities, ChatGPT can provide quick and accurate answers to a wide range of data mining questions, making it an indispensable resource for those working in this field.. . This course demonstrates how to integrate ChatGPT into your data science workflow, enhancing your ability to analyze data, generate insights, and automate tasks. Whether you're building predictive models, cleaning data, or visualizing results, learn how to leverage ChatGPT to streamline processes and add a new dimension of intelligence to your data-driven projects.. . 4.5/5 average rating: ★ ★ ★ ★ ★ ★ What you'll learn. Access 36 lectures & 5 hours of content 24/7 Integrate ChatGPT with Python for enhanced data science workflows Use ChatGPT for data cleaning, preprocessing, and analysis Implement ChatGPT in building and refining predictive models Automate repetitive data science tasks using ChatGPT Generate insights and visualize data with the help of ChatGPT Enhance your data-driven decision-making with AI-powered assistance Explore real-world applications of ChatGPT in data science projects Improve productivity and efficiency in your Python-based data science tasks Who is this course for. Data scientists and analysts looking to enhance their Python workflows Python developers interested in integrating AI with data science Beginners in data science seeking to learn how AI can streamline tasks Professionals aiming to automate and improve data-driven decision-making Anyone curious about leveraging ChatGPT for data analysis and model building Students and educators wanting to explore innovative tools in data science . . PRODUCT SPECS. Important Details. Length of time users can access this course: lifetime Access options: desktop & mobile Redemption deadline: redeem your code within 30 days of purchase Experience level required: all levels Certificate of Completion ONLY Updates included Closed captioning NOT available NOT downloadable for offline viewing Have questions on how digital purchases work? Learn more here . Requirements. A working computer (Windows, Mac, or Linux) Python programming language knowledge THE EXPERT. Oak Academy | Long Live Tech Knowledge. 4.4/5 Instructor Rating: ★ ★ ★ ★ ★ ★ . Oak Academy is a group of tech experts who have been in the sector for years and years. Deeply rooted in the tech world, they know that the tech industry's biggest problem is the "tech skills gap" and their online course is their solution. They specialize in critical areas like cybersecurity, coding, IT, game development, app monetization, and mobile. Thanks to their practical alignment, they are able to constantly translate industry insights into the most in-demand and up-to-date courses.. . Machine Learning Python with Theoretically for Data Science. KEY FEATURES. Master Machine Learning with Python: From Basics to Advanced. Explore the world of machine learning and gain the skills needed to build predictive models, create neural networks, and apply advanced algorithms. This course covers essential technologies and concepts behind AI, including predictive text and virtual assistants. Learn to use Python and R programming languages to develop foundational machine learning skills, and stay ahead in the rapidly evolving field. With hands-on exercises and real-world examples, you'll understand how machine learning is applied across industries, from data science to web development. Whether you're a beginner or an experienced developer, this course will guide you through the fundamentals of machine learning and help you advance your career in technology.. Why do we use a Python programming language in Machine learning?. Python is a general-purpose, high-level, and multi-purpose programming language. The best thing about Python is, that it supports a lot of today’s technology including vast libraries for Twitter, Data Mining, Scientific Calculations, design, Back-End servers for websites, Engineering Simulations, Artificial Learning, Augmented reality, and whatnot! Also, it supports all kinds of App development.. . 4.7/5 average rating: ★ ★ ★ ★ ★ ★ What you'll learn. Access 26 lectures & 4 hours of content 24/7 Gain introductory knowledge of Machine Learning Understand Machine Learning terminologies Install Anaconda Distribution for Windows, macOS, or Linux Get an overview of Jupyter Notebook & Google Colab Differentiate Classification vs. Regression in Machine Learning Evaluate Machine Learning Model Performance: Classification Error Metrics Evaluate Machine Learning Model Performance: Regression Error Metrics Understand the Linear Regression Algorithm in Machine Learning Implement Linear Regression Algorithm with Python Understand the Bias-Variance Trade-Off Understand the Logistic Regression Algorithm in Machine Learning Implement Logistic Regression Algorithm with Python Who is this course for. Beginners interested in learning machine learning and data science Developers looking to transition into machine learning Data scientists wanting to deepen their understanding of Python Anyone curious about machine learning concepts and algorithms Professionals aiming to apply machine learning to their current work Students seeking a comprehensive introduction to machine learning with practical examples PRODUCT SPECS. Important Details. Length of time users can access this course: lifetime Access options: desktop & mobile Redemption deadline: redeem your code within 30 days of purchase Experience level required: all levels Certificate of Completion ONLY Updates included Closed captioning NOT available NOT downloadable for offline viewing Have questions on how digital purchases work? Learn more here . Requirements. Basic knowledge of Python Be able to operate & install necessary software on your computer THE EXPERT. Oak Academy | Long Live Tech Knowledge. 4.4/5 Instructor Rating: ★ ★ ★ ★ ★ ★ . Oak Academy is a group of tech experts who have been in the sector for years and years. Deeply rooted in the tech world, they know that the tech industry's biggest problem is the "tech skills gap" and their online course is their solution. They specialize in critical areas like cybersecurity, coding, IT, game development, app monetization, and mobile. Thanks to their practical alignment, they are able to constantly translate industry insights into the most in-demand and up-to-date courses.. . Kaggle: Get The Best Data Science, Machine Learning Profile. KEY FEATURES. Kaggle: Your Gateway to Data Science and Machine Learning Mastery. This course, “Kaggle - Get The Best Data Science, Machine Learning Profile,” is designed to guide you through the platform step by step, enhancing your skills and boosting your career in this rapidly growing field.. . Kaggle, a subsidiary of Google LLC, is an essential online community for data scientists and machine learning practitioners. It offers a platform to explore and build models, collaborate with other professionals, and participate in various industry challenges. Whether you're interested in predictive texting, virtual assistants, or advancing your career in data science, Kaggle provides the tools and resources to help you succeed. With access to over 50,000 public datasets and a customizable Jupyter Notebooks environment, Kaggle is ideal for anyone looking to deepen their data science and machine learning expertise. . 4.3/5 average rating: ★ ★ ★ ★ ★ ★ What you'll learn. Access 19 lectures & 3 hours of content 24/7 Navigate and utilize the Kaggle platform for data science & machine learning Learn techniques for exploring & building models using Kaggle's web-based data science environment Know strategies for collaborating with other data scientists & machine learning engineers Participate in Kaggle competitions & solve real-world data science challenges Learn best practices for using Jupyter Notebooks on Kaggle, including access to free GPUs Leverage over 50,000 public datasets & 400,000 public notebooks for your projects Improve your data science profile & increase your chances of landing a high-ranking position in Kaggle competitions Who is this course for. Aspiring data scientists looking to build and enhance their skills Machine learning practitioners seeking to gain hands-on experience with real-world challenges Developers interested in transitioning into data science and machine learning Professionals wanting to improve their data science profile and resume with Kaggle experience Individuals curious about data science and eager to start their learning journey with Python and Kaggle Students and researchers aiming to expand their knowledge and practical skills in data analysis and model building Anyone interested in leveraging Kaggle’s resources and community to advance their career in data science PRODUCT SPECS. Important Details. Length of time users can access this course: lifetime Access options: desktop & mobile Redemption deadline: redeem your code within 30 days of purchase Experience level required: all levels Certificate of Completion ONLY Updates included Closed captioning NOT available NOT downloadable for offline viewing Have questions on how digital purchases work? Learn more here . Requirements. Any device with basic specifications THE EXPERT. Oak Academy | Long Live Tech Knowledge. 4.4/5 Instructor Rating: ★ ★ ★ ★ ★ ★ . Oak Academy is a group of tech experts who have been in the sector for years and years. Deeply rooted in the tech world, they know that the tech industry's biggest problem is the "tech skills gap" and their online course is their solution. They specialize in critical areas like cybersecurity, coding, IT, game development, app monetization, and mobile. Thanks to their practical alignment, they are able to constantly translate industry insights into the most in-demand and up-to-date courses.. . Deep Learning with Python. KEY FEATURES. Deep Learning: From Basics to Advanced Concepts. In this course, you will embark on a comprehensive journey through Deep Learning. Designed for anyone interested in Machine Learning and Deep Learning, the course starts with foundational concepts in Python and the Numpy library. You'll explore the history of Machine Learning before diving into core concepts such as workflows, models, algorithms, and neural networks. From there, the course advances to Artificial Neural Networks, Keras, TensorFlow, Convolutional Neural Networks, Recurrent Neural Networks, and LTSM. You'll also explore Transfer Learning before applying your knowledge to exciting projects. This course guides you from the basics to advanced Deep Learning with hands-on examples, ensuring a thorough understanding of this cutting-edge field.. What you'll learn. Access 59 lectures & 10 hours of content 24/7 Grasp the fundamental concepts of Python and the Numpy library Get an overview of AI, Machine Learning & Deep Learning Learn the history &evolution of Machine Learning Understand the Turing Machine and Turing Test Know the core logic & principles of Machine Learning Explore Machine Learning models and algorithms Study data gathering and pre-processing techniques Choose the right algorithm & model Train & test Machine Learning models Know model evaluation & performance metrics Learn about Artificial Neural Networks (ANN) basics, including: Definition and purpose of ANN Anatomy and structure of Neural Networks Tensor operations and their role in ANN The functioning and engine behind Neural Networks Gain practical experience with Keras and TensorFlow Who is this course for. Beginners interested in building a solid foundation in machine learning and deep learning. Aspiring data scientists looking to start a career in data science. Python developers aiming to expand their skills into deep learning. Enthusiasts eager to understand advanced machine learning concepts and techniques. Students studying data science or artificial intelligence seeking practical knowledge. Professionals in tech or related fields looking to transition into machine learning roles. PRODUCT SPECS. Important Details. Length of time users can access this course: lifetime Access options: desktop & mobile Redemption deadline: redeem your code within 30 days of purchase Experience level required: all levels Certificate of Completion ONLY Updates included Closed captioning NOT available NOT downloadable for offline viewing Have questions on how digital purchases work? Learn more here . Requirements. Any device with basic specifications THE EXPERT. Oak Academy | Long Live Tech Knowledge. 4.4/5 Instructor Rating: ★ ★ ★ ★ ★ ★ . Oak Academy is a group of tech experts who have been in the sector for years and years. Deeply rooted in the tech world, they know that the tech industry's biggest problem is the "tech skills gap" and their online course is their solution. They specialize in critical areas like cybersecurity, coding, IT, game development, app monetization, and mobile. Thanks to their practical alignment, they are able to constantly translate industry insights into the most in-demand and up-to-date courses.. . Machine Learning Project: Heart Attack Prediction Analysis. KEY FEATURES. Boost Your Machine Learning Skills with a Real Hands-On Heart Attack Prediction Project. This course provides a comprehensive introduction to machine learning and data science, featuring a practical project focused on predicting heart attacks. It begins by teaching fundamental machine learning concepts and techniques, such as model training, data analysis, and algorithm development. You’ll explore how to build and refine predictive models using Python and its libraries.. . Through a real-world heart attack prediction project, you will apply your skills to process and analyze data, uncover hidden patterns, and make accurate predictions. This course offers practical experience in creating and managing machine learning models and provides insight into the growing field of data science.. . 4.7/5 average rating: ★ ★ ★ ★ ★ ★ What you'll learn. Access 50 lectures & 7 hours of content 24/7 Get an introduction to machine learning & data science Work on a practical heart attack prediction project Learn about model training techniques Study data processing & analysis Understand algorithm development & refinement Use Python libraries for data science Build & manage predictive models Explore real-world data science applications Who is this course for. Beginners new to machine learning and data science seeking foundational knowledge and practical skills. Experienced developers aiming to enhance their machine learning expertise with hands-on projects. Data enthusiasts interested in understanding and applying predictive modeling techniques. Career changers looking to enter the data science field with real-world project experience. Students wanting to apply theoretical knowledge to practical data science problems. PRODUCT SPECS. Important Details. Length of time users can access this course: lifetime Access options: desktop & mobile Redemption deadline: redeem your code within 30 days of purchase Experience level required: all levels Certificate of Completion ONLY Updates included Closed captioning NOT available NOT downloadable for offline viewing Have questions on how digital purchases work? Learn more here . Requirements. Knowledge of Python programming language Knowledge of data visualization libraries like Seaborn and Matplotlib in Python Knowledge of basic Machine Learning Be able to operate & install software on a computer THE EXPERT. Oak Academy | Long Live Tech Knowledge. 4.4/5 Instructor Rating: ★ ★ ★ ★ ★ ★ . Oak Academy is a group of tech experts who have been in the sector for years and years. Deeply rooted in the tech world, they know that the tech industry's biggest problem is the "tech skills gap" and their online course is their solution. They specialize in critical areas like cybersecurity, coding, IT, game development, app monetization, and mobile. Thanks to their practical alignment, they are able to constantly translate industry insights into the most in-demand and up-to-date courses.. . Complete Machine Learning & Data Science with Python | A-Z. KEY FEATURES. Discover Data Science with Hands-On Machine Learning Examples. Data science professionals are increasingly in demand across various fields, from government security to dating apps. With businesses and government departments relying on big data to thrive and serve their customers better, the need for skilled data scientists is on the rise.. . If you're eager to learn one of the most sought-after skills by employers, curious about diving into Data Science with Python, or an experienced developer looking to transition into the field, this course is for you.. . This course provides practical, step-by-step instructions with hands-on projects to help you understand and apply machine learning concepts effectively. You'll learn the fundamentals of machine learning, explore libraries like Scikit-Learn, and develop skills to analyze data, create visualizations, and implement machine learning algorithms. The course is tailored for everyone, from complete beginners to professionals seeking a refresher.. . 4.5/5 average rating: ★ ★ ★ ★ ★ ★ What you'll learn. Access 62 lectures & 8 hours of content 24/7 Know what Machine Learning is & its terminologies Identify & apply evaluation metrics to assess machine learning model performance Distinguish between classification & regression tasks and their respective applications Evaluate classification model performance using metrics such as accuracy, precision, recall, and F1 score Assess regression model performance through metrics like mean absolute error, mean squared error, and R-squared Understand the concept of supervised learning and how it utilizes labeled data for model training. Apply cross-validation techniques to assess model generalization & understand the bias-variance trade-off in model complexity Use Matplotlib & Seaborn for data visualizations Implement machine learning algorithms & workflows using the SciKit Learn library Apply linear regression techniques to model & analyze the relationship between dependent and independent variables Utilize logistic regression to classify binary outcomes based on predictor variables Who is this course for. Beginners in data science who need a structured introduction to the basics of machine learning and Python programming. Aspiring data scientists seeking practical experience and foundational knowledge in machine learning. Experienced developers looking to transition into data science or enhance their machine learning skills. Professionals considering a career change into data science, with a focus on practical, hands-on learning. Python enthusiasts interested in applying Python for machine learning and data analysis. PRODUCT SPECS. Important Details. Length of time users can access this course: lifetime Access options: desktop & mobile Redemption deadline: redeem your code within 30 days of purchase Experience level required: all levels Certificate of Completion ONLY Updates included Closed captioning NOT available NOT downloadable for offline viewing Have questions on how digital purchases work? Learn more here . Requirements. Basic knowledge of Python Be able to operate & install necessary software on your computer THE EXPERT. Oak Academy | Long Live Tech Knowledge. 4.4/5 Instructor Rating: ★ ★ ★ ★ ★ ★ . Oak Academy is a group of tech experts who have been in the sector for years and years. Deeply rooted in the tech world, they know that the tech industry's biggest problem is the "tech skills gap" and their online course is their solution. They specialize in critical areas like cybersecurity, coding, IT, game development, app monetization, and mobile. Thanks to their practical alignment, they are able to constantly translate industry insights into the most in-demand and up-to-date courses.. . Python Programming: Machine Learning, Deep Learning | Python. KEY FEATURES. Go from Zero to Hero in Python 3. Python instructors at Oak Academy specialize in everything from software development to data analysis, and are known for their effective, friendly instruction for students of all levels. Whether you work in machine learning or finance or are pursuing a career in web development or data science, Python is one of the most important skills you can learn Python's simple syntax is especially suited for desktop, web, and business applications.. . This course offers a thorough introduction to Python programming, machine learning, and deep learning, including practical applications in data analysis, artificial intelligence, and project development. Designed for beginners and experienced developers alike, it covers a broad range of topics, ensuring you build a strong foundation in Python and its applications in data science.. . 4.5/5 average rating: ★ ★ ★ ★ ★ ★ What you'll learn. Access 69 lectures & 10 hours of content 24/7 Start with the basics of Python & the Numpy library, setting a solid groundwork for more advanced topics Understand the history and core concepts of machine learning, including workflow, models, and algorithms Dive into the structure and function of neural networks, including hands-on practice with Keras and TensorFlow Explore Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Long Short-Term Memory (LSTM) networks Learn about transfer learning techniques to leverage pre-trained models for your own projects Apply your knowledge through engaging Python projects and bootcamps, reinforcing your learning with practical examples Who is this course for. Beginners interested in exploring machine learning and deep learning. Data science enthusiasts looking to understand AI concepts and practical applications. Python programmers aiming to integrate machine learning into their projects. Experienced developers seeking to deepen their knowledge of machine learning frameworks. Professionals from various fields (such as marketing, finance, and engineering) who want to leverage machine learning techniques for their work. Anyone looking to enhance their skills with hands-on projects in AI and data science. PRODUCT SPECS. Important Details. Length of time users can access this course: lifetime Access options: desktop & mobile Redemption deadline: redeem your code within 30 days of purchase Experience level required: all levels Certificate of Completion ONLY Updates included Closed captioning NOT available NOT downloadable for offline viewing Have questions on how digital purchases work? Learn more here . Requirements. Python Coding skills are a plus Math skills will boost your understanding Basic knowledge of Python Be able to operate & install necessary software on your computer THE EXPERT. Oak Academy | Long Live Tech Knowledge. 4.4/5 Instructor Rating: ★ ★ ★ ★ ★ ★ . Oak Academy is a group of tech experts who have been in the sector for years and years. Deeply rooted in the tech world, they know that the tech industry's biggest problem is the "tech skills gap" and their online course is their solution. They specialize in critical areas like cybersecurity, coding, IT, game development, app monetization, and mobile. Thanks to their practical alignment, they are able to constantly translate industry insights into the most in-demand and up-to-date courses.. . Data Science & Machine Learning Fundamentals [Theory Only]. KEY FEATURES. Core Theories in Data Science and Machine Learning. Machine learning is a branch of artificial intelligence (AI) and computer science that focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. You can develop the foundational skills you need to advance to building neural networks and creating more complex functions through the Python and R programming languages. Machine learning helps you stay ahead of new trends, technologies, and applications in this field.. . This theoretical course is designed to provide a comprehensive understanding of the core principles and concepts behind data science and machine learning algorithms. It focuses on the foundational theories that underpin data science, machine learning, and deep learning, without delving into hands-on programming.. . 4.5/5 average rating: ★ ★ ★ ★ ★ ★ What you'll learn. Access 21 lectures & 2 hours of content 24/7 Learn about the fundamental theories & logic driving data science practices Understand the theoretical aspects of machine learning, including algorithms, models & their applications. Gain knowledge about deep learning concepts &how they extend traditional machine learning techniques Learn about data collection & preprocessing methods from a theoretical perspective Explore advanced topics including reinforcement learning & their theoretical underpinnings Know frameworks & models guiding data science practices Who is this course for. Individuals interested in understanding the theoretical foundations of data science and machine learning Students and professionals seeking a deeper grasp of algorithms and models used in data science Those who want to enhance their theoretical knowledge before applying practical skills Beginners who want a strong theoretical background before diving into hands-on projects Researchers and academics looking for a comprehensive overview of data science concepts and principles PRODUCT SPECS. Important Details. Length of time users can access this course: lifetime Access options: desktop & mobile Redemption deadline: redeem your code within 30 days of purchase Experience level required: all levels Certificate of Completion ONLY Updates included Closed captioning NOT available NOT downloadable for offline viewing Have questions on how digital purchases work? Learn more here . Requirements. Basic knowledge of Python Be able to operate & install necessary software on your computer THE EXPERT. Oak Academy | Long Live Tech Knowledge. 4.4/5 Instructor Rating: ★ ★ ★ ★ ★ ★ . Oak Academy is a group of tech experts who have been in the sector for years and years. Deeply rooted in the tech world, they know that the tech industry's biggest problem is the "tech skills gap" and their online course is their solution. They specialize in critical areas like cybersecurity, coding, IT, game development, app monetization, and mobile. Thanks to their practical alignment, they are able to constantly translate industry insights into the most in-demand and up-to-date courses.. . Pandas Python Programming Language Library from Scratch A-Z. KEY FEATURES. Learn Pandas for Data Science, Machine Learning, and Deep Learning. Pandas is a powerful Python library essential for data analysis and manipulation, particularly in data science and machine learning. This comprehensive course is designed to take you from the basics to advanced techniques in Pandas, guiding you through every aspect of the library.. . Starting from scratch, you’ll learn how to effectively use Pandas for data cleaning, exploration, and visualization. You'll gain practical skills in handling large datasets, performing data transformations, and analyzing data for meaningful insights. Whether you’re new to data analysis or looking to deepen your understanding of Pandas, this course will provide you with a robust foundation.. . By the end of the course, you'll be equipped to use Pandas confidently in real-world projects, enhancing your ability to analyze and interpret data efficiently. Ideal for data scientists, machine learning practitioners, and anyone interested in mastering data analysis with Python.. . 4.8/5 average rating: ★ ★ ★ ★ ★ ★ What you'll learn. Access 25 lectures & 2 hours of content 24/7 Understand the fundamentals of the Pandas library for Python Learn essential data manipulation techniques using Pandas Acquire skills in data cleaning & preprocessing for effective analysis Gain proficiency in working with data frames & series Explore advanced techniques for data aggregation & grouping Integrate Pandas with other data science libraries such as NumPy & Matplotlib Develop techniques for handling missing data Master data visualization using Pandas & associated libraries Apply Pandas to real-world data science & machine learning problems Who is this course for. Beginners interested in learning data analysis with Python Data scientists looking to enhance their skills with Pandas Machine learning practitioners needing advanced data manipulation tools Analysts who want to streamline their data processing workflows Python developers aiming to integrate Pandas into their projects Anyone seeking practical experience with data science techniques and tools PRODUCT SPECS. Important Details. Length of time users can access this course: lifetime Access options: desktop & mobile Redemption deadline: redeem your code within 30 days of purchase Experience level required: all levels Certificate of Completion ONLY Updates included Closed captioning NOT available NOT downloadable for offline viewing Have questions on how digital purchases work? Learn more here . Requirements. Basic knowledge of Python programming language Basic knowledge of Numpy Library Basic knowledge of Mathematics THE EXPERT. Oak Academy | Long Live Tech Knowledge. 4.4/5 Instructor Rating: ★ ★ ★ ★ ★ ★ . Oak Academy is a group of tech experts who have been in the sector for years and years. Deeply rooted in the tech world, they know that the tech industry's biggest problem is the "tech skills gap" and their online course is their solution. They specialize in critical areas like cybersecurity, coding, IT, game development, app monetization, and mobile. Thanks to their practical alignment, they are able to constantly translate industry insights into the most in-demand and up-to-date courses.

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