I enjoy learning about AI, technology, and the brilliant mathematics that make it all work. last column to first column. 2019 10; 2019. Data Science Portfolio. A data science portfolio is a great way to showcase your skillset in lieu of work experience. A separate category is for separate projects. About; Projects; Toggle menu. Churn Prediction, R, Logistic Regression, Random Forest, AUC, Cross-Validation Github is very useful platform for displaying your data science projects. Another “sort-of” classifier that I had worked on. Churn Prediction: Logistic Regression and Random Forest . ; Explained Mathematics and derivations of why we do what we do in ML and Deep … I put the fun in functions.. Self-Organizing Maps Recurrent Neural Networks Restricted Boltzmann Machine Convolutional Neural Networks My Data Science Articles. Here is the markdown of my README with emojis. 5 Ways To Gain Real-World Data Science Experience. Your Location; LinkedIn GitHub Recent Posts. Buy Data Professor a coffee. 1. Resume; LinkedIn; Medium; News Sentiment and Topic Analysis on WTI Crude Oil Future Prices. This platform enables you to share your code with other data scientists or data science aspirants. Courses; About; ... How to Setup a Data Science Portfolio using GitHub Pages step-by-step. Here are eight ambitious data science projects to add to your data science portfolio; We have divided these projects into three categories – Natural Language Processing, Computer Vision, and others . Najee Smith. Data Science Portfolio. Some of the … Data Science Portfolio. If you are not familiar with the syntax of Github flavored markdown, here is a good resource for that. Create the data-tier. Self-taught data scientist Follow. Self-Organizing Maps Recurrent Neural Networks Restricted Boltzmann Machine Convolutional Neural Networks Artificial Neural Networks Previous; 1; 2; Next; Follow: GitHub; Github. Topic Modeling using NMF and LDA using sklearn 24 minute read Are James Bond movies the best in Thriller movies category? It takes a deeper dive into your projects than your resume, but is less technical and overwhelming than your github repos. Your Name. Lexical diversity is a measure of how many different words that are used in a text. In this video I show you how to quickly build a data science portfolio website using github pages. Zijing’s data science project portfolio. Skill Level Intermediate. About On this page. Portfolio Check out the page for the repo here. Data Science Portfolio. 1,188 Views. How a Biologist became a Data Scientist. A collection of Data Engineering projects and blog posts. Baltimore, Maryland; GitHub; Email Recent posts. Data pipelines with Apache Airflow. It’s primar i ly driven by the amount of Hype this domain has received in the past — starting from HBR’s “Data Scientist: The Sexiest Job of the 21st Century” article to the recent developer surveys that put Data Scientist as one of the most paid roles. The overall goal of the Project Portfolio is to demonstrate to a panel of faculty experts that the student is able to: Describe a broad overview of the major practice areas in data science; Collect and organize data; Identify patterns in data via visualization, statistical analysis, and data … Strategies for Learning Data Science in 2020. 1 Purpose. Contributions are welcomed. What does a good Github/portfolio for Data Science look like? How do you get a job in data science? Najee Smith. By using a named port … About; Data Wrangling Projects; Toggle Menu. Data Science Portfolio. This portfolio is a compilation of notebooks & side projects I’ve created for data analysis or for exploration of machine learning algorithms. Github is a great page for portfolio with codes and pages in one place to showcase one’s work. Enjoy this post? Show More Show Less - Data science is a field that is rapidly expanding. About; Projects; Toggle menu. Portfolio OUTLINE OVERVIEW. Data Science Portfolio. Support $3. 2018-10-25. Baltimore, Maryland; GitHub; Email Projects. Refer to this cheetsheet to add other emojis that you like to your README. Los Angeles, CA Comment. Post. Data Engineering skills and tools; Data Science skills and tools; Other skills and tools; Certifications; Publications; Bio: A Data Scientist with strong background in Data Engineering.. You can find stand-alone projects at the top. 44m 15s Duration. Data Science is one the of the few domains where every college graduate wants to get in. We can go through courses, pour through books, or sift through articles. This portfolio is a compilation of notebooks which I created for data analysis or for exploration of machine learning algorithms. Introduction. Introduction - Installing NLTK - NLTKs text corpus - Lexical diversity - Gutenberg’s children’s instructional books (bookshelf) - Vocabulary size - Remove stop words - Normalizing text to understand vocabulary - Understanding text difficulty; Introduction. Discussion. Learn how to highlight your knowledge in a way that will inform, impress, and help you get the job. Data Science Portfolio. A portfolio gives you the ability to share a high level overview of your data science projects. View On GitHub; GitHub Profile; PROFILE. by Artyom Trofimov. Plus, learn how to create a strong data science portfolio with GitHub, contribute to open-source repositories, and more. Your Name. Data Science Portfolio. These series would cover all the required/demanded quality tutorials on each of the topics and subtopics like Python fundamentals for Data Science. Introduction. I found Github issues is a perfect tool for this. Data Science Portfolio. This is the perfect level for recruiters and data science managers. All the projects are … Lexical Diversity 7 minute read On this page. The liveness probe uses the TCP socket type of probe in this example. Data science skills are crucial for today's employers, but listing data science on a resume isn't enough to prove your expertise. A portfolio is one way to show people you are that data science unicorn. Follow. Nov 06, 2020. There are multiple ways of learning data science. With this channel, I am planning to roll out a couple of series covering the entire data science space.Here is why you should be subscribing to the channel:. Let’s now discuss 3 important platforms for creating a data science portfolio. Data Science Portfolio. Build a data science portfolio that showcases your prowess in a clear and undeniable way. In the early days of my journey in data science a year ago, I spent most of my time reading articles on Towards Data Science to create my own Data Science roadmap. Portfolio contents my skill-set, list of courses and data analysis projects which I’ve been working on during my study and exploration in the Data Science field. This site shows where Richard Careaga’s data science skills stand in mid-2018. Today I decided to build a github.io site. Learn how to craft and tailor your Data Science resume to get noticed by Hiring Managers. masedos.github.io Data science portfolio by Fernandes Macedo Ribeiro. Data Science Portfolio Follow. Richard Careaga. Knowing enough statistics, machine learning, programming, etc t o be able to get a job is difficult. 19 minute read. Building your Data Science Portfolio with GitHub. Data scientists must to know a lot — machine learning, computer science, statistics, mathematics, data visualization, communication, and deep learning. I am a self-taught data analyst with a background in Chemical Engineering. Collection of useful data science topics along with code and articles in my data science blog. Its intent is to provide prospective employers with concrete evidence of my abilities to do the work of a data sciencist. Portfolio. python cols = list(df.columns) cols = [cols[-1]] + cols[:-1] df = df[cols] df I created this machine-learning-articles repo to organize my data science articles with Github issues. Data Science Portfolio. I'm trying to beef up my Github/portfolio, but I'm not sure exactly what I should be shooting for. It also demonstrates your passion for data science, and assuming that passion is genuine, you will also have a lot of fun completing your own projects and learning new data science skills through them. Facebook Marketing Project 5 minute read Data Wrangling, Plots and Models Platforms for building a data science portfolio 1. I have worked with a large variety of data sets, and have found a passion for it. delafields.github.io Jeremy Fields’s Data Science Portfolio. Now take a look at this comparison that shows the addition of a name for the port and the probes are the only changes to the data tier deployment. Self-taught data scientist Follow. Learn Data Science using Python and R. Build real-world Data Science projects on Machine Learning, Exploratory Data Analysis and Data Visualization. A brief list of skills I have acquired throughout my journey are Python, SQL, and Pytorch. Nov 06, 2020.
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