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Data Mining: Instructional Materials



Kaggle - Get The Best Data Science, Machine Learning Profile

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Welcome to " Kaggle - Get Best Profile in Data Science & Machine Learning " course. Kaggle is Machine Learning & Data Science community. Kaggle, a subsidiary of Google LLC, is an online community of data scientists and machine learning practitioners. Kaggle allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges. Machine learning is constantly being applied to new industries and new problems. Whether you're a marketer, video game designer, or programmer, Oak Academy has a course to help you apply machine learning to your work. It's hard to imagine our lives without machine learning.


Complete Python for data science and cloud computing

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In this nearly 50 hours course, we will walk through the complete Python for starting the career in data science and cloud computing! This is so far the most comprehensive guide to mastering data science, business analytics, statistical tests & modelling, data visualization, machine learning, cloud computing, Big data analysis and real world use cases with Python. Data science career is not just a traditional IT or pure technical game – this is a comprehensive area, and above all, you must know why you conduct data analysis and how to deploy your results to generate values for the company you are working for or your own business. Therefore, this course not only covers all aspects of practical data science, but also the necessary data engineering skills and business model & knowledge you need in different industries. Whether you are working in financing, marketing, health companies, or you are running start-up, knowing the complete application of Python for data science and cloud computing is the must to achieving various business objective and looking insights into data.


The Complete Ensemble Learning Course 2022 With Python

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Then this course is for you! Then this course is for you! This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms, and coding libraries in a simple way. We will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science. This course is fun and exciting, but at the same time, we dive deep into Machine Learning.


Resonance as a Design Strategy for AI and Social Robots

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Resonance, a powerful and pervasive phenomenon, appears to play a major role in human interactions. This article investigates the relationship between the physical mechanism of resonance and the human experience of resonance, and considers possibilities for enhancing the experience of resonance within human–robot interactions. We first introduce resonance as a widespread cultural and scientific metaphor. Then, we review the nature of “sympathetic resonance” as a physical mechanism. Following this introduction, the remainder of the article is organized in two parts. In part one, we review the role of resonance (including synchronization and rhythmic entrainment) in human cognition and social interactions. Then, in part two, we review resonance-related phenomena in robotics and artificial intelligence (AI). These two reviews serve as ground for the introduction of a design strategy and combinatorial design space for shaping resonant interactions with robots and AI. We conclude by posing hypotheses and research questions for future empirical studies and discuss a range of ethical and aesthetic issues associated with resonance in human–robot interactions.


Scalable Machine Learning on Big Data using Apache Spark

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This course will empower you with the skills to scale data science and machine learning (ML) tasks on Big Data sets using Apache Spark. Most real world machine learning work involves very large data sets that go beyond the CPU, memory and storage limitations of a single computer. Apache Spark is an open source framework that leverages cluster computing and distributed storage to process extremely large data sets in an efficient and cost effective manner. Therefore an applied knowledge of working with Apache Spark is a great asset and potential differentiator for a Machine Learning engineer. After completing this course, you will be able to: - gain a practical understanding of Apache Spark, and apply it to solve machine learning problems involving both small and big data - understand how parallel code is written, capable of running on thousands of CPUs.


15 best data science bootcamps for boosting your career

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An education in data science can help you land a job as a data analyst, data engineer, data architect, or data scientist. The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. Data engineers and data architects spend more time dealing with code, databases, and complex queries, whereas data analysts and data scientists typically focus on analyzing, collecting, and interpreting large datasets to help guide business decisions. Here are the top 15 data science boot camps to help you launch a career in data science, according to reviews and data collected from Switchup. WeCloudData is a data science and AI academy that offers a number of bootcamps as well as a diploma program and learning paths composed of sequential courses.


Building a Predictive Model using Python Framework: A Step-by-Step Guide

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As a part of the agreement, we broke down the entire project into three stages, each consisting of a distinctive set of responsibilities. The first stage included a comprehensive understanding of our client's business values and data points. Subsequently, our data scientists refined and organized the dataset to pull out patterns and insights as needed. In the final stage, our data engineers used the refined data and developed a predictive analytics machine learning model to accurately predict upcoming sales cycles. It helped our client prepare better for the upcoming trends in the market and, resultantly, outdo their competitors.


Build 75 Powerful Data Science & Machine Learning Projects

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Implement Machine Learning Algorithms, Learn how to improve your Machine Learning Models Real life case studies and projects to understand how things are done in the real world Make robust Machine Learning models, Master Machine Learning on Python Explore how to deploy your machine learning models. According to Glassdoor, the average salary for a Data Scientist is $117,345/yr. This is above the national average of $44,564. Therefore, a Data Scientist makes 163% more than the national average salary. This makes Data Science a highly lucrative career choice.


Build 75 Powerful Data Science & Machine Learning Projects

#artificialintelligence

Implement Machine Learning Algorithms, Learn how to improve your Machine Learning Models Real life case studies and projects to understand how things are done in the real world Make robust Machine Learning models, Master Machine Learning on Python Explore how to deploy your machine learning models. According to Glassdoor, the average salary for a Data Scientist is $117,345/yr. This is above the national average of $44,564. Therefore, a Data Scientist makes 163% more than the national average salary. This makes Data Science a highly lucrative career choice.