Data science case studies github

Data science case studies github. Computer Vision Case Study in image recognition to classify an image to a binary class, based on Convolutional Neural Networks (CNN), with TensorFlow and Keras in Python, to identify from an image whether it is an image of a dog or cat. - SurajDonthi/Data-Science-Case-Studies Contribute to AhmedZedan/Data-Science-for-Business-5-Real-world-Case-Studies development by creating an account on GitHub. Data science & ML on Coding Ninjas . g. Solving case studies will help you show unique and amazing data science use cases in May 22, 2023 · If you are considering foraying into a data-based profession, one of the best ways is to work on GitHub data science projects and build a data scientist portfolio, showcasing your skills and experience. txt Files) A Novice Data Scientist approach towards generating insights from Investment Case Study using Python and basic data science fundamentals - AshaiReddy/Spark-Funds-Investment-Case-Study souvikb07/Case-Studies-Data-Science- This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. Topics sql dashboard leetcode excel hackerrank kaggle powerpoint datascience machinelearning deeplearning tableau powerbi googlesheets datacamp dataanalysis casestudies datascienceindustries Data Science Portfolio of Tatev Karen Aslanyan including Case Studies and Research Projects that I have completed that solve business problems or introduce new products. Dive into a curated collection of case studies, each equipped with interview questions and detailed answers, tailored for Data Scientist preparation. Problem Statement (. Contribute to kushal-acharya/Data-Science-Case-Studies development by creating an account on GitHub. Discover the power of data science through 10 intriguing case studies, including GE, PayPal, Amazon, IBM Watson Health, Uber, NASA, Zendesk, John Deer, etc. Topics and features: provides numerous practical case studies using real-world data throughout the book; supports understanding through hands-on experience of solving data science problems using Python; describes techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programming; reviews a range of Datasets of Solving Data Science Case Studies with Python - disenodc/Data-Science-Case-Studies-with-Python The prerequisites for level 3 of this training are the basic knowledge for machine learning language like (Regression - Classification - Clustering - Association Rule). Saved searches Use saved searches to filter your results more quickly Linear regression is a linear model, e. master More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. Reload to refresh your session. These insights empower data-driven strategies, aiding in more effective resource allocation, product development, and marketing efforts. Welcome to some case studies of data science projects - (Personal Projects). (Includes: Data, Case Study Paper, Code) Tried to cover some of the case studies of concepts revolving around Data Science: Predicting the prices of Bitcoin using RNN & LSTM; Predicting promotion using Boosting & Bagging techniques on tech company data; Affinity analysis on a cosmetic company's data using Apriori and Eclat algorithm Contribute to Mansayy/Data-Science-Case-Studies development by creating an account on GitHub. Each project includes a README file containing the following information: Dataset Used This repository contains all the assignments, case studies, projects done as a part of Post Graduate Diploma in Data Science course from IIIT Bangalore. Link to the dataset: Enron Email Dataset. The data for this case study are in . To understando more about the features and the case study, please check this link. Sample Data Generation (for testing and validation) Extraction of Raw Data (from conventional sources such as csv files) Conversion of Data (from one format to another) Exploration of Data (types and features) Manipulation of Data (e. - GitHub - mhd-shadi/Data-Science-Case-Studies: Five case studies in data s Jul 25, 2024 · Focus on case studies and extended examples. Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge from structured and unstructured data. master Contribute to JitenKumar/Data-Science-Case-Studies development by creating an account on GitHub. Although there are both training and testing data sets, the testing data set will only be utilized to evaluate your final model performance. Contribute to ishu-cs/Data-Science-Case-Studies development by creating an account on GitHub. This is a shortcut path to start studying Data Science. data-science graph-algorithms case-study dijkstra Applying Data Science Methods to Real Life Business Use Cases. Artificial Neural Network Approach in Churn Analysis using PyTorch A list of working examples of Data Science Use Cases and Applications by Industry - DerekKane/Use-Cases-Data-Science. This is a compiled list of different project topics for learning purposes. . Edureka "Data Science with Python" course solutions Topics python data-science data machine-learning ai algorithms clustering linear-regression machine-learning-algorithms regression python3 supervised-learning python-3 polynomial-regression unsupervised-learning clustering-algorithm kmeans-clustering assignments edureka edurekasolutions Regular practice on Data Science, Machien Learning, Deep Learning, Solving ML Project problem, Analytical Issue. creating new columns from existing data) Visualization of Data (in plots, graphs or charts) Podcast Episode: #087 Data Engineering At Zalando Case Study Talk I had a great conversation about data engineering for online retailing with Michal Gancarski and Max Schultze. List of Projects/Case Studies. To be able to fully engage, analysts must be able to pose a question, seek out data to address it, ingest this into a computing environment, model and explore, then communicate results. Contribute to d00g1es/Data_Science development by creating an account on GitHub. Small Case Studies. Here is some information on that video. For our case study, the environment is the mountain and our Actor (the car) is constrained to a 200 second episode The Actions: Action is usually based on the environment, different environments lead to different actions based on the agent. Contribute to developedbysm/Data-Science-Case-Studies development by creating an account on GitHub. Regular boost up my knowledge. The goal is to help learner with learning resource on Data Science filed. lesson: Jalen: 17: Data Science in the Cloud: Cloud Data: This series of lessons introduces data science in the cloud and its benefits. Saved searches Use saved searches to filter your results more quickly Python is a programming language that is widely used in data science and machine learning. Credit EDA can be done in Python, leveraging powerful libraries such as pandas, matplotlib, and scikit-learn. This github repository contains the code to the case studies in the O'Reilly book Machine Learning and Data Science Blueprints for Finance. Feb 21, 2021 · 1. The main purpose of this projects is to get hands on experience on different topics. Data Science Projects with Python is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. txt Files) A tag already exists with the provided branch name. md at main · Praveen76/Data-Science-Case-studies Data Science Projects with Python uses a case study approach to gaining valuable insights from real data with machine learning. This Repo contains Case Studies for Python for Data Science. PG_DIPLOMA_IN_DATA_SCIENCE_IIIT-B_&_UPGRAD. For all those who're struggling to find a good hands-on resource (with case studies) to master their Data Science skills, Here's all what you need! - gitsuraaj/Data-Science-Series Case Studies. Unlock success in Data Science interviews with the Data Science Case Studies repository. This is a repository of Data Science case studies taken from coursers, talks, projects, ideas and etc. Case Study papers, codes, and additional resources are all included. You switched accounts on another tab or window. The repository includes code templates, case studies, and exercises to help you learn and practice data science concepts and techniques. main A tag already exists with the provided branch name. Repository of some data science & analytics case studies I worked on outside my professional boundaries. Here you will find data science related links, tutorials, blog posts, code snippets, interview prep material, case studies, and more! Have fun! The purpose of these case studies is to demonstrate how users can perform basic tasks required for any data analysis project(in school or at work) Some of these tasks include: Sample Data Generation (for testing and validation) This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. In this video we use Python Pandas & Python Matplotlib to analyze and answer business questions about 12 months worth of sales data. Feb 21, 2021 · Solving a Data Science case study means analyzing and solving a problem statement intensively. Case Study of Examination Enrollment in India for Higher Studies. A comprehensive 1 Year program taught by Industry experts and IIITB faculty; 7 case studies & projects; 400+ hours of academic learning & 30+ hours of industry mentoring Resources Contribute to AnikethRai/Case_studies_Data_science development by creating an account on GitHub. PySpark Configuration; Exploratory Data Analysis; Data Visualization; Data Preprocessing; Feature Engineer; Model Selection Five case studies in data science utilizing analysis, statistics, regression, classification, and recommendation systems. The goal of this respository is to show some projects I developed in my career over the years. A list of small case studies to educate myself in data science (databases), machine learning and deep learning. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. --> amazon. lesson: Tiffany and Maud: 18: Data Science in the Cloud Contribute to DataPlayOrg/Data-Science-Case-Studies development by creating an account on GitHub. Enhance your problem-solving skills and gain practical insights to ace your interviews. Instant dev environments Solved numerous Case studies using R. Jan 7, 2024 · Data Science Case Studies from 2023 and 2024. Hello, This is repository related to Data Science project or Case studies which I have studied so far. Data Science. Case studies include: Trends in World Health and Economics, US Crime Rates, The Financial Crisis of 2007-2008, Election Forecasting, Building a Baseball Team (inspired by Moneyball), and Movie Recommendation Systems. An open-source Data Science repository to learn and apply towards solving real world problems. Data Science Case Studies and Projects. - Sarthak1607 Downloads for my Safari Online Learning live training course Python Data Science Full Throttle: Introductory Artificial Intelligence (AI), Big Data and Cloud Case Studies - pdeitel/PythonDataScienceFullThrottle Project Case Studies. The first on our list of data science capstone project on GitHub is about exploring the Enron Email Dataset. Used R Studio for implementing them. Data scientists perform data analysis and preparation, and their findings inform high-level decisions in many organizations. Presentations of all case studies (and more) have also been recorded in my Data Science Webinar on Youtube. a model that assumes a linear relationship between the input variables (x) and the single output variable (y). This will give you an initial idea of standard data science tasks. The objective of this case study is to help a company identify fraudulent events by leveraging their data to build predictive models and by deploying a web app that can be used by their Fraud Detection team. Simply open the Jupyter notebooks you are interested in by cloning this repository and running Jupyter locally. Contribute to GDenszell/DataScienceCaseStudies development by creating an account on GitHub. We feature a series of complex, real-world extended case studies and examples from a broad range of application areas, including politics, transportation, sports, environmental science, public health, social media, and entertainment. Case Studies like : Big Basket Case Study, Mission Hospital HBR Case study. com. The VOICED (VOIce ICar fEDerico II) database is a database that includes 208 voice samples, from 150 pathological, and 58 healthy voices. Fell free to send a PR :). Contents. Data science case studies with you can see how companies across a variety of industries leveraged big data to drive productivity, profits, and more. Data Science Case Studies Topics python data-science text-mining r modeling prediction ab-testing sharpe-ratio network-analysis financial-analysis case-study gameofthrones marketing-analytics pricing-analytics ds-case-studies Case Studies of Data Science. and links to the case-study-data-science topic page so This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. - GitHub - anmolmehta/Data-Science-Case-Studies: Repository of some data science & analytics case studies I worked on outside my professional boundaries. DataScience Case Studies. About. Find and fix vulnerabilities Codespaces. Contribute to Mansayy/Data-Science-Case-Studies development by creating an account on GitHub. Data Science Case Studies. This is an iterative process that requires a blend of statistics and computing skills. You signed out in another tab or window. This study case has the purpose for implementing a classification using PySpark for estimate the probability of smoke and not smoke. AI-powered developer platform Data Science Case Studies. Contribute to ishitaac/Data-Science-and-Machine-Learning-Coding-ninjas development by creating an account on GitHub. Welcome to the Cracking the Data Science Interview Github page. Companion and Download Site for the SAS Press Book "Applying Data Science - Business Case Studies using SAS" by Gerhard Svolba. Plese Note the sequence of the files for each topic Mentioned Above for better Understanding. Case Study of Rainfall in India from 1901-2015. Spark Fund Investment; EDA Loan Analysis; Regression Model- Lead Scoring; Titanic: Machine learning More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. Topics Trending Collections Enterprise Enterprise platform. Insurance Case study and so on. Solving a Data Science case study means analyzing and solving a problem statement intensively. You signed in with another tab or window. - TatevKaren/TatevKaren-data-science-portfolio Jul 25, 2024 · Modern data science is a team sport. Contribute to eddielin-2030/100_data_science_case_studies development by creating an account on GitHub. Contribute to KareliaConsolidated/Case-Studies-Data-Science development by creating an account on GitHub. Data Science Projects with Python will help you get comfortable with using the Python environment for data science. This option lets you play around with the code. The topics covered include data exploration, data visu - Pratiikpy/Data-science-cheatsheet About. - Data-Science-Case-studies/README. Contribute to frank0434/Data-Science-in-Action-R-Tools-and-Case-Studies development by creating an account on GitHub. Five case studies in data science utilizing analysis, statistics, regression, classification, and recommendation systems. - GitHub - mhd-shadi/Data-Science-Case-Studies: Five case studies in data s Data Science Portfolio of Tatev Karen Aslanyan including Case Studies and Research Projects that I have completed that solve business problems or introduce new products. This course will start you on your journey to mastering topics within machine learning. main Here you will find a collection of resources and examples for exploring, analyzing, and manipulating data using Python. The report includes an in-depth description of my work and thought process. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. Analytics and data science business case studies to identify opportunities and inform decisions about products and features. They showed Zalando’s data platform and how they build data pipelines. Data science case study targeting hotel entry click rate, based on real-world Trivago data. Solving case studies will help you show unique and amazing data science use cases in your May 22, 2023 · Project #1: Exploring the Enron Email Dataset. VOICED Database. Detailed Case Studies. Saved searches Use saved searches to filter your results more quickly Research projects in election science at Reed College - Case Studies in Data Science: Elections Data Science Case Studies and Projects. You may refer this and add your suggestions to make my model more and more robust. It allows for powerful data manipulation and analysis, and also provides a wide range of libraries and frameworks for working with data. This repository contains practice case study projects focusing primarily on data cleaning and analytics. Just follow the steps to answer the questions, "What is Data Science and what should I study to learn Data Science?" This phase of the data science lifecycle focuses on presenting the insights from the data in a way that makes it easier for decision makers to understand. /data. GitHub community articles Repositories. I'm Data Science aspirant. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis). Ultimately, case studies bridge the gap between data science and business decision-making, enhancing a company's ability to thrive in a competitive landscape. main You signed in with another tab or window. This repo goes with my video on "Solving real world data science videos with Python Pandas!". Data Science Case Studies for computer science students. Contribute to SanketPatole/Data-Science-Case-Studies development by creating an account on GitHub. Aug 24, 2023 · Collection of short-form case studies linking to main NHSE site - GitHub - nhsengland/DataScience-CaseStudies: Collection of short-form case studies linking to main NHSE site You signed in with another tab or window. In other words, you should use cross-validation on the training data set to identify potential models, then score those models on the test data. By the end of this book, you will be able to: Think critically about data and use it to form and test a hypothesis; Choose an appropriate machine learning model and train it on your data Jun 15, 2022 · In each course, we use motivating case studies, ask specific questions, and learn by answering these through data analysis. This repository contains all the case studies and assignments which I have completed as part of Data Science program. kuhkvl gadlsp awjw lzmfq kgho keqc lfchvb asbangsh tzkuj hdwok