Learn Python for Data Science and Machine Learning from A-Z
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Description Learn Python for Data Science & Machine Learning from A-Z In this practical, hands-on course you’ll learn how to program using Python for Data Science and Machine Learning. This includes data analysis, visualization, and how to make use of that data in a practical manner. Our main objective is to give you the education not just to understand the ins and outs of the Python programming language for Data Science and Machine Learning, but also to learn exactly how to become a professional Data Scientist with Python and land your first job. We’ll go over some of the best and most important Python libraries for data science such as NumPy, Pandas, and Matplotlib + NumPy — A library that makes a variety of mathematical and statistical operations easier; it is also the basis for many features of the pandas library. Pandas — A Python library created specifically to facilitate working with data, this is the bread and butter of a lot of Python data science work. NumPy and Pandas are great for exploring and playing with data. Matplotlib is a data visualization library that makes graphs as you’d find in Excel or Google Sheets. Blending practical work with solid theoretical training, we take you from the basics of Python Programming for Data Science to mastery. This Machine Learning with Python course dives into the basics of machine learning using Python. You’ll learn about supervised vs. unsupervised learning, look into how statistical modeling relates to machine learning, and do a comparison of each. We understand that theory is important to build a solid foundation, we understand that theory alone isn’t going to get the job done so that’s why this course is packed with practical hands-on examples that you can follow step by step. Even if you already have some coding experience, or want to learn about the advanced features of the Python programming language, this course is for you! Python coding experience is either required or recommended in job postings for data scientists, machine learning engineers, big data engineers, IT specialists, database developers, and much more. Adding Python coding language skills to your resume will help you in any one of these data specializations requiring mastery of statistical techniques. Together we’re going to give you the foundational education that you need to know not just on how to write code in Python, analyze and visualize data and utilize machine learning algorithms but also how to get paid for your newly developed programming skills. The course covers 5 main areas: 1: PYTHON FOR DS+ML COURSE INTRO This intro section gives you a full introduction to the Python for Data Science and Machine Learning course, data science industry, and marketplace, job opportunities and salaries, and the various data science job roles. Intro to Data Science + Machine Learning with Python Data Science Industry and Marketplace Data Science Job Opportunities How To Get a Data Science Job Machine Learning Concepts & Algorithms 2: PYTHON DATA ANALYSIS/VISUALIZATION This section gives you a full introduction to the Data Analysis and Data Visualization with Python with hands-on step by step training. Python Crash Course NumPy Data Analysis Pandas Data Analysis 3: MATHEMATICS FOR DATA SCIENCE This section gives you a full introduction to the mathematics for data science such as statistics and probability. Descriptive Statistics Measure of Variability Inferential Statistics Probability Hypothesis Testing 4: MACHINE LEARNING This section gives you a full introduction to Machine Learning including Supervised & Unsupervised ML with hands-on step-by-step training. Intro to Machine Learning Data Preprocessing Linear Regression Logistic Regression K-Nearest Neighbors Decision Trees Ensemble Learning Support Vector Machines K-Means Clustering PCA 5: STARTING A DATA SCIENCE CAREER This section gives you a full introduction to starting a career as a Data Scientist with hands-on step by step training. Creating a Resume Creating a Cover Letter Personal Branding Freelancing + Freelance websites Importance of Having a Website Networking By the end of the course you’ll be a professional Data Scientist with Python and confidently apply for jobs and feel good knowing that you have the skills and knowledge to back it up. Who this course is for: Students who want to learn about Python for Data Science & Machine Learning Requirements Students should have basic computer skills Students would benefit from having prior Python Experience but not necessary Last Updated 10/2021
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[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/20 - Data Science Career/139 - Networking Dos and Donts English.vtt | 5.4 KiB |
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[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/16 - Ensemble Learning and Random Forests/95 - Ensemble Learning Section Overview.mp4 | 16.07 MiB |
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[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/13 - Linear and Logistic Regression/62 - Gradient Descent.mp4 | 15.93 MiB |
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[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/14 - K Nearest Neighbors/67 - parametric vs nonparametric models.mp4 | 15.62 MiB |
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[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/20 - Data Science Career/140 - Importance of a Website.mp4 | 15.36 MiB |
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[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/15 - Decision Trees/94 - Project Predict whether income exceeds 50Kyr Overview.mp4 | 15.1 MiB |
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[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/5 - Probability & Hypothesis Testing/42 - Expected Values.mp4 | 14.71 MiB |
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[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/3 - Python For Data Science/16 - What is Jupyter.mp4 | 14.57 MiB |
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[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/2 - Data Science & Machine Learning Concepts/8 - Why We Use Python.mp4 | 13.5 MiB |
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[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/14 - K Nearest Neighbors/66 - KNN Overview.mp4 | 12.88 MiB |
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[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/19 - PCA/126 - PCA Main Applications.mp4 | 10.04 MiB |
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[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/13 - Linear and Logistic Regression/65 - Logistic Regression.mp4 | 8.89 MiB |
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[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/3 - Python For Data Science/17 - What is Google Colab.mp4 | 8.25 MiB |
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[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/14 - K Nearest Neighbors/69 - The KNN Intuition.mp4 | 8.08 MiB |
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[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/4 - Statistics for Data Science/39 - Measure of Asymmetry.mp4 | 6.75 MiB |
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[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/15 - Decision Trees/80 - adultdata.csv | 3.79 MiB |
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[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/19 - PCA/121 - PCAipynb | 3.28 MiB |
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[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/15 - Decision Trees/80 - adulttest.csv | 1.91 MiB |