Github data science projects pdf file is the presentation for the assignment The notebook files were completed as part of the assignment and all data is hosted online except for the data for the dashboard project so that is provided in the repository Some files like the Plotly Dashboard and the Folium Visualizations need This repository contains the files of Internshal Data Science Training Project. Our project-based pedagogy allows you to learn while Here, I will be sharing the projects that I complete as part of Avery Smith's 30-day data science challenge, where I aim to complete 30 data science projects in 30 days. " basic to intermediate data science projects. Explore a collection of resources and projects in Computer Science, covering algorithms, data structures, programming languages, and emerging technologies. I usually include images that are relevant to my project, and you can easily find any image for free online Data Science Projects with Python uses a case study approach to gaining valuable insights from real data with machine learning. Each lesson includes pre-lesson and post-lesson quizzes, written instructions to complete the lesson, a solution, and an assignment. 557 GB. The template offers guidelines, structure, and best practices for effectively documenting and presenting your projects in these domains. From exploratory data analysis to advanced machine learning models, this repository is your go-to resource for honing your data science skills and tackling real-world challenges. It aims to provide insights through data-driven solutions and predictive modeling. It shows the analysis of pitstop duration, laptime duration as well as race by race points analysis for the year 2023. Data science project consisting of 4 parts: 1-Web Scraping Welcome to the Data Science Projects Repository! This repository contains three distinct projects, each demonstrating fundamental data science techniques, insights, and analyses on real-world datasets. ly This repo contaoins the projects I've done over the course of time for praticing my EDA and Data Science Skills. If you’re looking for inspiration for your next data science project, look no further than the Big List of Data Science Use Cases repo. Project Includes Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. - VinitDhage/Data-Science Contribute to robsalgado/personal_data_science_projects development by creating an account on GitHub. Discover the ultimate Data Science Repository—your go-to resource for mastering Data Science. You signed out in another tab or window. These are open source data science projects. I'd like to share some practices that I have come to adopt in my projects, which I hope will bring some organization to your projects. While the Benchmark notebook is the notebook provided in the course, 'My Solution' notebook contains my solution to the problem. This repository contains the projects/assignments for courses in the IBM Data Science Professional Certificate on Coursera. master Install dependencies using requirements. You signed in with another tab or window. ├── data │ ├── processed │ └── raw api data-science machine-learning r sql deep-learning analytics numpy excel plotly databases pandas data-visualization python3 predictive-modeling data-cleaning r-programming Resources Readme A carefully curated selection of real-world data science projects designed for both beginners and seasoned practitioners. Includes an ETL pipeline for data processing, a ML pipeline to train the About. These are as follows: What is Data Science? Tools for Data Science; Data Science Methodology; Python for Data Science and AI; Databases and SQL for Data Science; Data This repository houses a comprehensive README template tailored for projects encompassing artificial intelligence, machine learning, and data science. gitignore customized for this project ├── LICENSE <- Your project's license. This repository highlights various algorithms, statistical techniques, and real-world problem-solving approaches using Python, R, and other tools. The Data folder contains the This list is continuously updated. Master Generative AI with 10+ Real-world Projects in 2025! 📊 Elevate Your Data Game: Exploring Data Science, Visualization, and Machine Learning in One Place! 🤖 Uncover insights, create impactful visuals, and dive into the world of AI with hands-on projects and resources. Welcome to my GitHub data science project repository! I'm a student passionate about data science and analytics. Each project will focus on a different topic or technique, and will showcase my skills in data analysis, machine learning, and data visualization. Deep Learning: Neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), etc. Jun 14, 2020 · Enhance your chances of getting hired with these 8 ambitious data science projects sourced from GitHub. The data set was provided by EURO 6000 and consists in a csv file with 10. Data scientists perform data analysis and preparation, and their findings inform high-level decisions in many organizations The project title should be concise and self-explanatory so that the user can easily remember your project. The jupyter nortebooks contained in this repo are IBM notebook templates but the code contained is that of the author. Contribute to robsalgado/personal_data_science_projects development by creating an account on GitHub. Some projects are mainly focused on data cleaning and some on data visualizaion, and yes some even contain both, for This repository comprises of the projects and assignments that i have completed during my tenure at Great Lakes for the course program PGP-AIML. A curated list of applied machine learning and data science notebooks and libraries across different industries. │ ├── 0_external <- Data Sep 1, 2024 · From cutting-edge computer vision frameworks to powerful NLP models to ambitious robotics projects, GitHub is an endless treasure trove of data science and machine learning innovation. You'll be able to understand why do we use Data Science & what it can do with the data. Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge from structured and unstructured data. You'll find a variety of data-driven projects that span data analysis, machine learning, and more. Langchain Open AI Project. I'm exhilarated to share that I have successfully completed WorldQuant's Data Science Program, a transformative journey that has broadened my skills and knowledge in the field of data science! 🎓 Final Capstone Project for IBM Data Science Professional Certification - GitHub - vikthak/IBM-AppliedDataScience-Capstone-FINAL: Final Capstone Project for IBM Data Science Professional Certification - This folder includes my end-to-end machine learning projects and some similar practices. ├── . 1 Basic Python Analyzed music preferences of users across different cities to find listening trends and patterns. A series of small projects that test the understanding of python's data science and visualization tools and libraries - OTogano/Python-Data-Science-Capstone-Project This repo contains project done by me in the course of tools in data science which is part of BSC degree in Programming and Data Science from IIT Madras - deep87we/TOOLS-IN-DATA-SCIENCE This repository contains articles, GitHub repos and Kaggle kernels which provides data science and machine learning projects with code. Whether you're a student, self-learner, or someone looking to This repo is purely the mini projects along with the tutorials which I've completed under a course on Data Science with Python. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. . More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. A template for data science projects. These walkthroughs help you build complete end-to-end projects that can go into your portfolio. These projects span a wide range of applications, from healthcare and finance to e-commerce and gaming. A Collection of Data Science/ML Projects. These are Hospital Quality Analysis, Pollution Analysis, Analysis of Household Electric Power Consumption, Personal Activity Monitor, Visualization of Covid 19 spread, and Heart Rate Analysis. - mma-github/data-science Algorithm: A series of repeatable steps for carrying out a certain type of task with data. - Understanding of machine learning models - Regression, SVM, Decision Trees, Random Forest, SVM - Exploring data with visualization libraries - Traning models with different approaches - GridSearch and Data Science Portfolio. These top Data Science Projects cover a range of applications, from machine learning and predictive analytics to natural language processing and computer vision. Projects are prepared in iPyhon Notebook format. Multiple linear regression - predicting demand for shared bikes Welcome to my Data Science Projects Repository! This repository contains my data science projects, showcasing my skills and expertise in the field. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with This Portfolio is a compilation of all the Microsoft Azure AI, Data Science and Data Analysis projects I have done for self-learning and hobby purposes. This project is a practical data science exploration that combines Python, machine learning, and data visualization to analyze and predict weather trends. Feb 7. The Big List of Data Science Use Cases. Ideal for learners and enthusiasts looking to enhance their knowledge and skills in the field More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. Mar 4, 2025 · Explore top GitHub data science projects and github machine learning projects for beginners that offer diverse applications and challenges Sep 1, 2024 · In this post, we‘ve curated a list of the 15 most compelling data science and machine learning projects on Github in 2024. Now each product has certain attributes that set it apart from other products. Kidney Disease Classification. 📊 Data Science This repository is a portfolio of my data science projects completed during the TripleTen bootcamp, showcasing hands-on skills in data wrangling, visualization, model training, and deployment. You switched accounts on another tab or window. This repository also includes the lab work thatwas done during the classes and even those that were given as assessments. Performed data manipulation in Python. Housing in Mexico The top 10 BCA final year projects include e-commerce website development, online survey and feedback systems, web scraping and data mining. This project is made for Visual Studio Code (vscode) but can be used in any IDE This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. Please ping if any link doesn't work. This repository is a compilation of over 30 capstone projects, each a stepping stone in my journey to becoming proficient in Data Science and AI/ML. gitignore <- GitHub's excellent Python . Reload to refresh your session. I hope this curated list of the 30 best projects has inspired you to dive in and start exploring and contributing to the open-source ML community. Each project demonstrates different aspects of data analysis, machine learning, and data visualisation :) Comprehensive repository of Data Science projects spanning Machine Learning, Deep Learning, and Natural Language Processing. md <- The top-level README for developers using this project. Using the OpenWeatherMap API, we fetch real-time weather data for multiple cities, analyze key metrics like temperature and humidity, and apply machine learning techniques to predict future GitHub is where people build software. txt. Machine Learning: Supervised learning, unsupervised learning, reinforcement learning, etc. Contribute to alexdiem/data-science-template development by creating an account on GitHub. The goal of this respository is to show some projects I developed in my career over the years. Contribute to Principles-of-Data-Science/Project1 development by creating an account on GitHub. As with data structures, people studying computer science learn about different algorithms and their suitability for various tasks. 775 rows, 36 columns and 3. Disaster Message Classifier: A multilabel classification model to predict the categories of a disaster message. You can watch the project walkthroughs on Youtube. ├── Pipfile <- The Pipfile for reproducing the analysis environment ├── README. Hey, thanks for coming! Below you will be able to take a look at the different projects that I have been working on during the last time. GitHub is where people build software. - KalyanM45/Data-Science-Project-Readme-Template This is the final project for the Data Scientist Nanodegree, where our goal is to predict churn for a fictional streaming service called Sparkify. This repository hosts the final assignment and final project for the Advanced Machine Learning exam, as part of the Master’s degree in Data 6 days ago · Having done a number of data projects over the years, and having seen a number of them up on GitHub, I've come to see that there's a wide range in terms of how "readable" a project is. Data Science Projects with Python uses a case study approach to gaining valuable insights from real data with machine learning. GitHub community articles Repositories. Contribute to Jcharis/data-science-projects development by creating an account on GitHub. The goal is to make a repository where anyone can contribute their research,projects and solution that is useful for everyone and can help in their journey of learning Data Science. 9 5 Web Scraping Projects with Python https://bit. (Stack Overflow,2022) IBM Data Science Community - Master the art of data science with the IBM data science community. The project's folder structure would look like this: . End-to-End ML Project Implementation with Dockers, GitHub Action. Files in this repo are as follows: Exploratory data analysis - Loan defaulter analysis. Whether you're a student, self-learner, or someone looking to Nov 3, 2024 · Tons of real-world data science projects 🏆 5 Must — Have Portfolio Projects In Every Data Engineer’s Github — (Part II) Account Setup and Project Setup. To associate your repository with the data-science 100 Data Science projects for anybody who is interested in doing research and want to learn about data science by building projects and coding them. - GitHub - sapanz/Applied-Data-Science-with-Python---Coursera: This project contains all the assignment's solution of university of Michigan. 2 Exploratory Data Analysis Pinpointed grocery shopping trends and patterns using EDA to propose marketing and product placement strategies. I have successfully completed a 16-week and 8 end-to-end, applied data science projects of the Applied Data Science Lab module at WorldQuant University. This project contains all the assignment's solution of university of Michigan. There are a mix of Machine Learning and visualization projects, using R and Python. You will practice hands-on in the IBM Cloud using real …. ly/3gwJIMr 10 20 Machine Learning Projects on Future Prediction with Python https://bit. From beginner-friendly guides to advanced projects, this collection offers tutorials, tips, and tools to enhance your skills and build impactful solutions in real-world scenarios. 3 Here you can find all the 8 projects of WorldQuant's Data Science Program along with my certification. As a data scientist and IT student, I use it to showcase my skills in Python, SQL, machine learning, deep learning, and data visualization. Each project demonstrates different aspects of data analysis, machine learning, and data visualisation :) A carefully curated selection of real-world data science projects designed for both beginners and seasoned practitioners. ; It covers a This project is made from data taken from various resources largly from kaggle and official formula 1 website. This repo consists of some Data Analysis and ML projects done in R Studio. Demonstrates practical applications of algorithms and tools on real-world datasets. Enjoy! Argentina COVID-19 Analysis R Programming End-to-end Machine Learning project with R - Here is a full data science project that covers data collection, cleaning, visualization, machine learning and validation. - You can take pull request and contribute. Note: Data used in the projects is for demonstration purposes only. Unsupervised Learning - Clustering method with R - An introduction to an array of unsupervised learning algorithms: Hierachical clustering, k-means, and Factor Analysis. DataCamp Data Science Projects has 83 repositories available. In this capstone project, we will predict if the SpaceX Falcon 9 first stage will land successfully using several machine learning classification algorithms. You can use this template to structure your Python data science projects. Explore my diverse collection of projects showcasing machine learning, data analysis, and more. Azure Cloud Advocates at Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science. Contribute to aappist/Data--Science---project development by creating an account on GitHub. Dive in, to discover insights and techniques in data science. Top 10 BCA Projects . StackOverflow Community - A community where you can ask questions about data science. Specific data structures often play a role in how certain algorithms get StackOverflow Community - A community where you can ask questions about data science. To associate your repository with the data-science The data scientists at BigMart have collected sales data for 1559 products across 10 stores in different cities for the year 2013. Follow their code on GitHub. All Links are tested and working fine. This file was sampled into a representative subset of data points to work with a manageable amount of data in order to build and run analysis and data manipulation more quickly, while still producing accurate findings that finally were applied to the main data set. Run notebooks as usual by using a jupyter notebook server, Vscode etc. The mini-projects included scientific computing, data wrangling, machine learning and natural language processing with Python. 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 This repository documents my daily challenges, projects, and learning in data science. This repository will include a variety of data science projects, such as: Data Analysis: Exploratory data analysis (EDA), statistical analysis, etc. The projects cover a variety of domains, including predictive modeling, classification, regression, and time series forecasting. Dive into real-world examples to enhance your skills and understanding of data science. Welcome to the "Data-Science-Mini-Projects" repository! This collection serves as a curated list of links to individual GitHub repositories, each containing a unique mini-project related to Data Science. Reach out for collaborations and feedback. In this repository, I'll be sharing a collection of projects I've worked on to showcase my skills and knowledge in the field. edyoda/data-science-complete-tutorial: For extensive instructor led learning; Advanced Data Science - YouTube; Data ScienceTutorial for Beginners | Kaggle; donnemartin/data-science-ipython-notebooks Nov 17, 2024 · Explore cutting-edge data science projects with complete source code for 2025. Usage of such modules Nov 3, 2024 · 10. 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 Deep Learning Project with Deployment, MLOps, and DVC [Chicken Disease Classification] Audio Classification Projects (Part 1) (Part 2) (Part 3) (Part 4) End-to-End ML Project with MLFLOW. Jun 15, 2022 · GitHub is a great place to work on a Data Science project. You can check the code out and also learn from these projects. I am grateful for the opportunity to contribute to meaningful projects and look forward to applying these skills in future endeavors. This repo consists of all courses of IBM - Data Science Professional Certificate, providing with techniques covering a wide array of data science topics including open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. Add a cover banner to the top of your Readme to catch the attention of your readers. To associate your repository with the data-science The Codsoft Data Science Internship has been an enriching experience, providing me with the skills and knowledge to tackle real-world data challenges. End To End Generative AI Projects This repository contains some data science portfolio projects for academic, self-improvement and hobby purposes. "A collection of data science projects, including machine learning models, data analysis, and visualizations. Whether you are a beginner looking to gain hands-on experience or an experienced practitioner Welcome to my Data Science Projects Repository! This repository contains my data science projects, showcasing my skills and expertise in the field. Mainly it's used to process data into some meaningful series. Oct 2, 2023 · GitHub is where people build software. This section will present a collection of data science project ideas for beginners and newbies in Python and Data Science. The projects range from fundamental machine learning algorithms to advanced neural networks and generative models, showcasing a hands-on approach to learning and applying AI/ML concepts. Analyzes the Titanic dataset to identify factors influencing passenger survival. 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. I have also used linear regression model for the prediction of 2024 🚀 Welcome to Data Science! Dive into the world of data science with our comprehensive collection of projects, code, and datasets. It is based on Cookie Cutter Data Science It also contains the capstone project folder, which contains the final data science project for the course. Focuses on data More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. Below is the list of Data Science projects you can work on! You can also enroll in courses from Omdena School for additional information and practical applications. Project 1: Exploratory Data Analysis. │ ├── data │ ├── 0_raw <- The original, immutable data dump. (IBM,2022) Reddit Data Science Community - A place for data science practitioners and professionals to discuss and debate data science career Welcome to the Beginner Level Data Science Projects repository! This collection is designed to provide aspiring data scientists and beginners in the field with a hands-on, practical approach to learning key concepts and techniques. The Problem statement is explained in the pdf in the repo. The main steps in this project include: Data collection, wrangling, and formatting Exploratory data analysis Interactive data visualization Explore a collection of resources and projects in Computer Science, covering algorithms, data structures, programming languages, and emerging technologies. Jan 7, 2022 · More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. 651. Ideal for learners and enthusiasts looking to enhance their knowledge and skills in the field Welcome to some case studies of data science projects - (Personal Projects). udacity pyspark pyspark-mllib data-science-capstone sparkify This repository contains files, notebooks, and data used for live project walkthroughs on Dataquest. Organized by project, each directory contains code, datasets, documentation, and resources. Contribute to HighScientist/Data-Science development by creating an account on GitHub. It is convenient to adopt a good project structure having support of git when starting with a project for data analysis and machine learning. This structure is crafted to guide every data science professional and enthusiast through a streamlined workflow, right from raw data ingestion to deployment of the final model API. Artificial Neural Network Approach in Churn Analysis using PyTorch Data Science Projects. The professional certificate contains 9 courses. The Denis O'Byrne IBM Data Science Capstone Project. vyhph akmylq fkhbswt hndg xreowy efz ijxj kjhwzn qfpxc xqxx zbaxsoe zdn epiylst vdj ysq