Best machine learning portfolio github. Instant dev environments Sep 27, 2016 · Benefits for You.

Table of contents. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. " GitHub is where people build software. Additionally, there are many new data sources of non-traditional data. Original Projects; My External Links; Posts; Courses and Certifications To associate your repository with the portfolio-optimization topic, visit your repo's landing page and select "manage topics. g building and training models and model selection, become familiar with the libraries in python that are popular for machine learning, and practice verbalizing findings and ideas. Reload to refresh your session. Examples of this are the use of NLP to capture the sentiment of the market through the live feed of news and tweets, or the harnessing of satellite Introduction. 1%. This article focuses on portfolio weighting using machine learning. Here you can find the notebooks of my projects in the area of Data Science and Machine Learning. This project focuses on optimizing stock portfolios using various financial theories and machine learning models. This e-portfolio collates all of my work in this module as well as my reflection. May 31, 2024 · You signed in with another tab or window. Real-Time Facial Recignition - Simple face and eye detection using OpenCV. - ml-tooling/best-of-ml-python Sep 11, 2023 · A tag already exists with the provided branch name. This repository serves as a showcase of my skills, experience, and the exciting projects I've worked on. Heart Disease Prediction: A model to classiy if a person has a potential threat of having a problem related to heart using Supervised Machine Learning Classification Algorithm and complex visulization techiniques with a relaiable score of accuracy. Welcome to my Machine Learning-Data Analysis Portfolio! I'm Nouman, a passionate data enthusiast with a keen interest in machine learning and data science. Paper Source. Delve into a diverse collection of projects showcasing machine learning and data analysis. In MLP (also known as vanilla neural network), we have an input vector that is fully connected along with associated weights to the hidden layer, which is again connected to another hidden layer and so on until we get to the Jan 14, 2017 · Set up your git name by typing git config --global user. Essentially, it adds a penalty (parameterised by gamma) on small weights, with a term that looks just like L2 regularisation in machine learning. Add this topic to your repo. Contribute to 17439608/Pre_designed_Portfolio_for_Stock_Price_Prediction_based_on_Machine_Learning development by creating an account on GitHub. In these projects, I want to apply and test the machine learning theories that I've learned, e. You can host all the code from your projects there. To associate your repository with the artificial-intelligence-projects topic, visit your repo's landing page and select "manage topics. Most of the codes are presented in Jupyter Notebooks. Jupyter Notebook 99. name YOUR_NAME. Jupyter Notebook 100. We use several conventional Machine Learning techniques to solve it, namely CVXpy, CVXpy-layers, Proximal and Projected Gradient Descent. Implementation of Linear Full Posterior Bandits for portfolio optimization This corresponds to the Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling paper, published in ICLR 2018. To associate your repository with the machine-learning-projects topic, visit your repo's landing page and select "manage topics. A collection of machine learning demos. Contribute to salman-moh/portfolio development by creating an account on GitHub. Other 0. One year later, I was voted the data community's favorite blogger and awarded Upwork's Top-Rated status. A repository containing some data science, machine learning, Power BI and Tableau projects completed for academic, self-learning, and professional purposes. Machine learning project to predict possible outcomes of 2022 world cup matches: This is a project for the purposes of curiosity and machine learning study, with the aim of developing a model capable of predicting possible outcomes of the 2022 World Cup matches, until reaching the result of the Welcome to my data analytics / science portfolio. Contribute to atabti/Machine-Learning-Portfolio development by creating an account on GitHub. - GitHub - krishnavamshikorpal/Machi A portfolio for practicing machine learning with classic projects. I've been writing about machine learning, freelancing, and, personal branding since 2020. Welcome to my data analytics / science portfolio. A collection of data science projects ranging from data analysis and exploration to machine learning and prediction models using Jupyter Notebooks. This course will enable you mastering machine-learning approaches in the area of investment management. - Robert-Zacchigna/Portfolio Add this topic to your repo. 🏆 A ranked list of awesome machine learning Python libraries. portfolio of machine learning projects completed by me in PG Diploma and some are self projects from Kaggle competition, Analytics job hackthon and Dphi Tech. 5 million times worldwide with various articles being translated into Chinese. Contribute to dlfelps/ml_portfolio development by creating an account on GitHub. We fit a least squares regression (with elastic net regularisation). It includes modules for factor analysis, mean-variance optimization, machine learning strategies for stock prediction, the Black-Litterman model for adjusting portfolio weights based on machine learning predictions, and portfolio statistics calculations. Python机器学习项目实战. By the end of this specialization, you will have acquired the tools required for making You signed in with another tab or window. Contribute to Hannah-Abi/Machine-Learning--Project-Portfolio development by creating an account on GitHub. numpy, pandas, and tensorflow are required. Focus: Each project has a well-defined purpose and end point. Here, you will find a collection of projects, code samples, and documentation that highlight my expertise in developing AI/ML models and solutions. Languages. Contribute to kevintoner/machineLearningPortfolio development by creating an account on GitHub. Most Machine Learning Engineer roles don’t require web dev knowledge. Feel free to explore the topics and case studies listed below. Also we could use manage a bigger portfolio, or find/create new factors to use as input variable for the deep learning model. Machine Learning. Data Science/Machine Learning portfolio. Here, 20 Machine Learning projects solved and explained with the Python programming language for self-study. Contribute to jwsoh07/machine-learning-portfolio development by creating an account on GitHub. Once you've done this, git is setup and configured. You signed in with another tab or window. I am grateful of the 30-day free trials and discounts given by Udacity during the difficult times of #COVID19, encouraging programming enthusiasts like myself to enjoy the time of #STAYHOME. . This book aims to present the benefits of portfolio management, statistics, and machine learning applied to live trading with MetaTrader 5. Welcome to my AI/ML Engineer Portfolio repository! This repository serves as a showcase of my skills, projects, and experience in the field of Artificial Intelligence (AI) and Machine Learning (ML). Machine Learning Foundations: A Case Study Approach: Certificate of the "Machine Learning Foundations: A Case Study Approach" Coursera course, created from the University of Washington (6 weeks of study). The notebooks to this paper are Python based. Building up a collection of completed machine learning projects can keep you focused, motivated and be leveraged on future projects. Aug 25, 2022 · But if you don’t, no worries. '. Contribute to JenAlchimowicz/Machine-Learning-Portfolio development by creating an account on GitHub. I think the potential for software to enhance medical education is substantial, especially given the promises of machine learning. Follow GitHub links for code and documentation. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. In the Classify Song Genres machine learning project, you will be using the song dataset to classify songs into two categories: 'Hip-Hop' or 'Rock. Contribute to YeJiu97/machine-learning-bookcamp-build-a-portfolio-of-real-life-projects development by creating an account on GitHub. To associate your repository with the data-science-portfolio topic, visit your repo's landing page and select "manage topics. These are various pieces of software I have written that pertain to either medical education or machine learning research. Replace YOUR_NAME with your full name, like John Smith . md at Jan 1, 2024 · 🚀 Machine Learning Portfolio. Machine Learning Portfolio 💥. You switched accounts on another tab or window. Keywords(Image, Deep learning, DenseNet, EfficientNet, Transfer Learning, Data augmentation, K-Fold, EDA, TPU, Tensorflow) TensorFlow 2. Small projects constrained in effort and resources can keep velocity high. Welcome to my Machine Learning Portfolio! I am Muhammad Abdullah, a Machine Learning Engineer passionate about leveraging data and cutting-edge technologies to solve complex problems. To associate your repository with the data-science-projects topic, visit your repo's landing page and select "manage topics. Next, we need to create an account on GitHub, then configure git to work with GitHub: Create a GitHub account. Computer Vision | Object Detection. It has been designed by two thought leaders in their field, Lionel Martellini from EDHEC-Risk Institute and John Mulvey from Princeton University. Machine learning algorithms in Python. Jan 27, 2023 · A machine learning portfolio is a collection of personal projects and learning experiences demonstrating your ability to apply machine learning principles to real-world problems. The Journal of Financial Data Science, Spring 2020, 2 (1) 10-23. py. The hope is that this paper will organically Machine-Learning-Portfolio This repository displays the current projects that I have worked on related to Data Science, Machine Learning, and AI. Overview of my projects. Classify Song Genres from Audio Data. This repository is updated regularly with new projects and coursework. This is the second in a series of articles dealing with machine learning in asset management. Contribute to HaojieChu/Machine-Learning-based-Stock-Price-Prediction-and-Portfolio-Optimization development by creating an account on GitHub. A good Portfolio of Projects will show that you can apply those Machine Learning skills in your work. Machine learning Experiment portfolio. Machine Learning Projects. Implemented using Python programming and Jupyter Notebook, the project follows a systematic workflow, analyzing and interpreting customer segments for insights XJTLU SAT301 FYP Code. COURSE 3: Python and Machine Learning for Asset Management. A tag already exists with the provided branch name. Organized by project, each directory offers comprehensive access to code, datasets, detailed documentation, and resources. In this project I predict English and Welsh house prices in 2015 from historical data (1995-2014) using only the length of the lease, type of property (flat, terrace etc) and if the house is in London. Nov 28, 2020 · The best way to showcase your Machine Learning skills is in the form of Portfolio of Data Science and Machine Learning Projects. The next best place to host your machine learning portfolio is GitHub. To associate your repository with the portfolio-management topic, visit your repo's landing page and select "manage topics. Sep 5, 2020 · Contribute to TommyBetz/Stock_Portfolio_Performance_Optimization_with_Machine_Learning_public development by creating an account on GitHub. Repository containing portfolio of machine learning projects completed by me. 01 Machine Learning for Trading: From Idea to Execution; 02 Market & Fundamental Data: Sources and Techniques; 03 Alternative Data for Finance: Categories and Use Cases; 04 Financial Feature Engineering: How to research Alpha Factors; 05 Portfolio Optimization and Performance Evaluation; Part 2: Machine Learning for Trading: Fundamentals Kurtis Pykes. To associate your repository with the portfolio-optimization topic, visit your repo's landing page and select "manage topics. Portfolio for Data Mining and Machine Learning. Saved searches Use saved searches to filter your results more quickly Utilizing AI and machine learning techniques (KMeans Clustering, Elbow Method, PCA), it automates the process, of identifying patterns, similarities, and relationships in customer data. 🌐 About Me Add this topic to your repo. Natural language processing is a way of mining the text to understand what the topics are within a business area. Hi, I'm Kurtis Pykes. A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis and machine learning to predict housing prices in New York Tri-State Area. My portfolio features the following projects: Text reading complexity prediction with transformers ; 溺 Image-to-text translation of chemical structures with deep learning Fair machine learning in credit scoring applications ; Click "read more" to see project summaries. To associate your repository with the python-machine-learning topic, visit your repo's landing page and select "manage topics. The pieces of my Machine Learning experiences are already quite scattered, so here is a place that brings them all together in one place. This is a repository consisting of projects for the Udacity Machine Learning Engineer Nanodegree Program. Updated weekly. Find and fix vulnerabilities Codespaces. My content has been viewed more than 1. Repository for my machine learning projects. . Contents. This is a collection of fully operational machine learning projects developed as part of the Udacity's Machine Learning Engineer Nanodegree Program, the Deep Learning Nanodegree Program and the LinkedIn Learning Advance Your Skills in Deep Learning and Neural Networks learning path. I learned how to predict house prices based on house-level features (Regression), analyze sentiment from user reviews (Classification This paper investigates various machine learning trading and portfolio optimisation models and techniques. MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools. Dive in to uncover insights and explore techniques in data science. Instant dev environments Sep 27, 2016 · Benefits for You. Host and manage packages Security deep-learning-portfolio-optimization. The Data Science and Machine Learning for Asset Management Specialization has been designed to deliver a broad and comprehensive introduction to modern methods in Investment Management, with a particular emphasis on the use of data science and machine learning techniques to improve investment decisions. 0 Question Answering [ Link for the complete project repository ] - Wenlin-He/Machine-Learning-for-Stock-Market-Analysis-and-Portfolio-Optimization This study applies Random Forest classifiers to historical stock data from 2007 to 2016 for Google, Nvidia, Apple, and Microsoft, employing technical indicators to predict market movements. This portfolio showcases some of the projects I have worked on to analyze, visualize, and train models on various datasets like Iris Dataset and famous Titanic Dataset etc. Host and manage packages Security The is an attempt to predict the values a lotto RNG spits out, specifically the Baba Ijebu Lotto in Nigeria. CNN is a deep learning algorithm that differs from traditional multi-layer perceptrons(MLP) in a couple of smart ways. Portfolio for CS 4375 - Intro to Machine Learning. For the test portfolio of 20 securities, gamma ~ 1 is sufficient To associate your repository with the financial-machine-learning topic, visit your repo's landing page and select "manage topics. - mmapphk3/Machine-Learning-Module-e-Portfolio This Repository contains portfolio of Machine Learning projects for academic, self learning and work purposes, presented in the form of iPython Notebooks. - Machine-Learning-Portfolio/README. Contribute to Phylleyes/Machine-Learning-Exp-Portfolio development by creating an account on GitHub. AI Portfolio Manager - optimizing distribution of asset allocation by means of reinforcement learning. It also gives employers an idea of what you’re capable of in terms of implementation and design. My machine learning portfolio. QuantConnect Code. You signed out in another tab or window. 2. 0%. Knowledge Base: The corpus of completed projects provide a Banks, hedge funds, and fintech are increasingly automating their investments by integrating machine learning and deep learning algorithms into their decision-making process. For those not using QuantConnect: Further instructions can be found in main. Code and data are made available where appropriate. 9%. It is defined as attempting to minimize the variance of a diversified investment’s returns. By last count there are about 15 distinct trading varieties and around 100 trading strategies. Contribute to rgoubault/machine-learning-portfolio development by creating an account on GitHub. In this thesis, we consider the problem of Markowitz Portfolio Optimization. Your business and portfolio will have hundreds or thousands of documents relevant to project best-practice in your sector. It may be necessary to try several gamma values to achieve the desired number of non-negligible weights. Contribute to HarshMulani/Machine-Learning-Portfolio development by creating an account on GitHub. Contribute to Kapoot/Machine-Learning-Portfolio development by creating an account on GitHub. Contribute to LimitMax/Machine-learning-Portfolio development by creating an account on GitHub. To associate your repository with the developer-portfolio topic, visit your repo's landing page and select "manage topics. Contribute to e-abtahi/Machine_Learning_Portfolio development by creating an account on GitHub. The machine-learning-portfolio topic hasn't been used on Contribute to JHawke16/Machine-Learning-e-Portfolio development by creating an account on GitHub. I am an experienced "traditional" software engineer switching to a career as a Machine Learning Engineer. The dataset consists of approximately 24 million records in CSV format. This is a fun project to predict the winning lottery numbers of the aforementioned Lotto organization using their winning numbers from the past 180 days. Topics python finance machine-learning research trading investing portfolio-optimization quantitative-finance algorithmic-trading portfolio-management financial-machine-learning Working on a completely new dataset will help you with code debugging and improve your problem-solving skills. This repo is built to store my practicing projects. Contribute to modwedar/machine-learning-portfolio development by creating an account on GitHub. Machine Learning, Deep Learning projects . e-Shadowing Transcriber: an application for enhancing the medical e-Shadowing experience Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization. We provide an implementation in QuantConnect; QuantConnect is a platform that provides free backtesting and data. A portfolio website which describes my career journey, experiences, skill sets and projects I have worked on portfolio machine-learning personal-website portfolio-website data-science-portfolio machine-learning-portfolio Welcome to my Machine Learning Portfolio! Here, you'll find a collection of projects and case studies showcasing my expertise in various machine learning algorithms and applications. Contribute to kgavec/Machine_Learning_Portfolio development by creating an account on GitHub. - Issues · Wenlin-He/Machine-Learning-for-Stock-Market-Analysis-and-Portfolio-Optimization This study applies Random Forest classifiers to historical stock data from 2007 to 2016 for Google, Nvidia, Apple, and Microsoft, employing technical indicators to predict market movements. fx fm ni ek af ek wg oz kf yy