data science github portfolio

Springboard Data Science Career Track Repository for Python, SQL, Data Wrangling, Inferential Statistics, Machine Learning, Mini Exercises/Projects, and 2 Capstone Projects. Predicted US (2016) election results in realtime as the voting results of each region becomes available. If you liked what you saw, want to have a chat with me about the portfolio, work opportunities, or collaboration, shoot an email at contact@sajalsharma.com. If you’re a more experienced Git user, feel free to follow that workflo… Presented in the form of Jupyter Notebooks. It is updated regularly. As a researcher, I have developed strong skills in statistical analysis and communication. Go ahead and navigate back to the forked copy on your GitHub Profile. Please contact me on … For this example, we’ll just make the edits directly from GitHub. Ken_Portfolio. Fitted power-law and log-normal distribution to US baby names data since 1960. Regressed states with results against polling data and predicted results for the remaining states. Resume; LinkedIn; Medium; News Sentiment and Topic Analysis on WTI Crude Oil Future Prices. - mariohage/Springboard-Data-Science-Portfolio 2018-10-25. It takes a deeper dive into your projects than your resume, but is less technical and overwhelming than your github repos. I'm trying to beef up my Github/portfolio, but I'm not sure exactly what I should be shooting for. If nothing happens, download Xcode and try again. About me. Plotted the emotions over the day and over the week and analysed the interesting results. A portfolio enables you to network with other data science professionals and leaders in the field. A collection of personal data science and computational biology and projects. Presented in the form of iPython Notebooks, and R markdown files (published at RPubs). Data Science Portfolio Repository containing portfolio of data science projects completed by me for academic, self learning, and hobby purposes. You signed in with another tab or window. For example, let’s say I have the following Python script, taken from the scikit-learn examples: I now make a checkpoint using git, and add some more lines to the code. In the projects section of a resume, people often leave links to their GitHub where the code is stored for their projects. If nothing happens, download the GitHub extension for Visual Studio and try again. If nothing happens, download Xcode and try again. This portfolio is a compilation of notebooks which I created for data analysis or for exploration of machine learning algorithms. Use bootstrapping techniques to find a distribution of the power-law parameters. Data Science Portfolio. 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 … If you liked what you saw, want to have a chat with me about the portfolio, work opportunities, or collaboration, feel free to contact me on: - … Cientista De Dados graduando em Ciência Da Computação. Repository containing portfolio of data science projects completed for academic, self learning, and professional purposes. Richard Careaga. Example data science portfolio. The projects are either written in R (R markdown) or Python (Jupyter Notebook). retrieved from Tweets of result announcement and extracted time of announcement for each region. If the skills section on your resume lists Python, R, SQL, Machine Learning, Deep Learning and you’re wondering why you get rejected every time, keep reading. Click on the projects to see full analysis and code. The projects are either written in R (R markdown) or Python (Jupyter Notebook). GitHub - sgprmr/Data-Science-Portfolio: Portfolio of data science projects completed by me for Data Science course (IBM Data Science Professional Certificate), self learning, and hobby purposes. What does a good Github/portfolio for Data Science look like? All you have to do now is repeat the process. 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. You can find a general portfolio here. This site shows where Richard Careaga’s data science skills stand in mid-2018. Data pipelines with Apache Airflow. If nothing happens, download GitHub Desktop and try again. Data Science portfolio. Cross language Information Retrieval: Cross language information retrieval system (CLIR) which, given a query in German, searches text documents written in English. Data Science Portfolio Follow. Github is a great page for portfolio with codes and pages in one place to showcase one’s work. Data Science Portfolio Repository containing portfolio of data science projects completed by me for academic, self learning, and hobby purposes. Learn how to craft and tailor your Data Science resume to get noticed by Hiring Managers. Tools: scikit-learn, Pandas, Seaborn, Matplotlib, Pygame. A portfolio is good for bookkeeping. Harshit Tyagi. You now have one beautiful project in your portfolio. Inferential Statistics: Do men or women oppose sex education? Geovane Melo. A repository of the projects I worked on or currently working on. Created a tool that estimates data science salaries (MAE ~ $ 11K) to help data … In the past few posts in this series, we’ve talked about how to build a data science project that tells a story, how to build an end to end machine learning project, and how to setup a data science blog. Its intent is to provide prospective employers with concrete evidence of my abilities to do the work of a data sciencist. A repository of the projects I worked on or currently working on. You can also have writeups and markdown there. Presented in the form of iPython Notebooks, and R markdown files (published at RPubs). You can just as easily clone a local copy and make the edits directly from your machine. Work fast with our official CLI. Data Science Portfolio. Regressed regions with results against polling data and predicted results for the remaining regions. In this video I show you how to quickly build a data science portfolio website using github pages. By: Leonard. All you need is a GitHub account and a little knowledge of … Portfolio OUTLINE OVERVIEW. Predicted UK (2017) election victories as the voting results as it happened. Work fast with our official CLI. I am an Immunologist with experience in molecular biology and data analysis with R and Python. Presented in the form of iPython Notebooks, and R markdown files (published at RPubs). Project 1: Data Science Salary Estimator. A collection of Data Engineering projects and blog posts. Used 'qdap' package to analyze the emotion of the Tweets. Baby Name and Twitter Analysis, Twitter Sentiment Daily and Weekly Fluctuations, Exchange Rate Analysis During UK Election - Under Construction, Used LSTM to fit five years of Beijing weather data, Constructed anomaly scores from the difference between model prediction and real data, Investigated time periods with high anomaly scores, Results confirms that high anomaly scores corresponds with extreme weather (floods, heavy rain, firework celebration, etc). download the GitHub extension for Visual Studio, 2016 General Election Poll Analysis.ipynb, 3-Way Sentiment Analysis for Tweets.ipynb, Added Linear and Logistic Regression micro projects, Cross Language Information Retrieval.ipynb, Stock Market Analysis for Tech Stocks.ipynb, Titanic Dataset - Exploratory Analysis.ipynb, Supervised Learning: Finding Donors for CharityML, Unsupervised Learning: Creating Customer Segments, Reinforcement Learning: Training a Smartcab to Drive, Deep Learning: Digit Sequence Recognition using CNNs, Scalable Walkability Analysis of Melbourne, 2016 US General Election Poll Data Analysis, Behavioral Risk Factor Surveillance System(BRFSS) 2013: Exploratory Data Analysis. You signed in with another tab or window. Crawled Twitter to find 20000 random user and fitted power law distribution to users' friends count and followers count. Some of the … A Github profile is a powerful signal that you are a competent data scientist. A data science portfolio is a great way to showcase your skillset in lieu of work experience. 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. A separate category is for separate projects. It is updated regularly. 3-way Sentiment Analysis for Tweets: 3-way polarity (positive, negative, neutral) classification system for tweets, without using NLTK's sentiment analysis engine. download the GitHub extension for Visual Studio, Anomaly Detection on Beijing pm2.5 data using LSTM - Under Construction, Exchange Rate Analysis During US Election, Power-law or Log-normal? GitHub lets … GitHub is built around a technology called git, a distributed version control system. Lexical diversity is a measure of how many different words that are used in a text. Repository containing portfolio of data science projects completed by me for academic, self learning, and hobby purposes. Data-Science-Wiki. I also dabble in all other kinds of technology. science portfolio that showcases your skills and helps you land that job. 1 Purpose. Portfolio of data science projects completed by me for academic, self learning, and hobby purposes. Please contact me on Linkedin if you are looking to hire a data scientist. In the below code, we: 1. This repo is a list of DevOps guides, scripts and tutorials. Data scientists must to know a lot — machine learning, computer science, statistics, mathematics, data visualization, communication, and deep learning. If nothing happens, download GitHub Desktop and try again. This is the perfect level for recruiters and data science managers. Use Git or checkout with SVN using the web URL. This will essentially showcase their skills and projects. Monte Carlos simulation used to simulate the winner of the election. Data Visualization: Corruption and Human Development, Moneyball: Analysing and replacing lost players, ML with Decision Trees and Random Forests, Movie Recommendations using Recommender Systems. Downloaded economic indicators data using World Bank API, and cleaned data, Downloaded search query of next and last year in Google for each country, Fitted linear regression between GDP and future orientation. Ch… Discussion. Photo by JOSHUA COLEMAN on Unsplash Repeat. Click on the projects to see full analysis and code. Learn more. Compared simulated results with exchange rates fluctuations to see if market is efficient. This is the config file for changing the settings to your site. You can use it to keep a record of your completed projects, including datasets, codes, and sample output files. Note: Data used in the projects (accessed under data directory) is for demonstration purposes only. Navigate to the _config.yml file. This may sound intimidating, but all it means is that it lets you create checkpoints of your code at various points in time, then switch between those checkpoints at will. Building a simple portfolio is easier than you would expect. masedos.github.io Data science portfolio by Fernandes Macedo Ribeiro. Learn more. A portfolio gives you the ability to share a high level overview of your data science projects. Today I decided to build a github.io site. For a more visually pleasant experience for browsing the portfolio, check out sajalsharma.com Image by Author, Webpage Link: https://kaustubhgupta.github.io/ After all the mess, the action could generate an HTML file which with the help of Github pages can be deployed, and there you have your self-updating portfolio hosted for free!Now to automate this whole process of adding new entries, I came up with Github action. Create a Minimalism GitHub Page for Your Data Science Portfolio in 30 Minutes 9 minute read 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. Brisbane, QLD, Australia; Email LinkedIn GitHub Power BI Portfolio: Dashboard reporting of Finance, Sales, Procurement, Bank, IT, HR, Product and Manufacture department 4 minute read Introduction. How to Build an Awesome Data Science Portfolio. Maintaining a GitHub data science portfolio is very essential for data science professionals and students in their career. Lexical Diversity 7 minute read On this page. Portfolio. Aluno do sétimo periodo do curso de Ciência Da Computação na faculdade Anhanguera de Nitéroi. There is a … For a more visually pleasant experience for browsing the portfolio, check out sajalsharma.com Nesse repositório estarei publicando meus projetos de Ciência de Dados, utilizando majoritariamente a linguagem Python. For a more visually pleasant experience for browsing the portfolio, check out sajalsharma.com. If nothing happens, download the GitHub extension for Visual Studio and try again. Parsed a few GB of Tweets to select all the tweets in UK and in English. Tools: Pandas, Folium, Seaborn and Matplotlib. Use Git or checkout with SVN using the web URL. Let’s start by modifying the contents on the homepage. 1. ... GitHub: Having a good GitHub ... not the sole litmus test of one’s data science skillset. Zijing’s data science project portfolio. A portfolio helps you showcase your data science skills.

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