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97 search results found

Best Of Ml Python ⭐ 14,484

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Machine_learning_complete ⭐ 4,296

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

Orange3 ⭐ 4,279

🍊 📊 💡 Orange: Interactive data analysis

God Level Data Science Ml Full Stack ⭐ 3,211

A collection of scientific methods, processes, algorithms, and systems to build stories & models. This roadmap contains 16 Chapters, whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI

Ml Workspace ⭐ 2,816

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Awesome Python Data Science ⭐ 2,089

Probably the best curated list of data science software in Python.

General Assembly's 2015 Data Science course in Washington, DC

Amazing Feature Engineering ⭐ 485

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Stocksensation ⭐ 146

基于情感字典和机器学习的股市舆情情感分类可视化Web

Football_prediction_project ⭐ 118

This project will pull past game data from api-football, and use these statistics to predict the outcome of future premier league matches with the use of machine learning.

Ds_and_ml_projects ⭐ 110

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

How To Score 0.8134 In Titanic Kaggle Challenge ⭐ 105

Solution of the Titanic Kaggle competition

Visualizations of machine learning models and algorithms

Topometry ⭐ 69

Systematically learn and evaluate manifolds from high-dimensional data

Data Science And Machine Learning Projects Dojo ⭐ 67

collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc

Datawranglingpy ⭐ 61

Minimalist Data Wrangling with Python (Open-Access Textbook)

Deep_learning_projects ⭐ 28

<혼자 공부하는 데이터 분석 with 파이썬>의 코드 저장소

Centrifuge Toolkit ⭐ 22

Tool for visualizing and empirically analyzing information encoded in binary files

Machine Learning For Dummies ⭐ 22

Series of talks/workshops aimed at guiding newcomers through Python basics, Data Analysis and Machine Learning.

A machine learning system that predicts fpl points of players

Statistics For Data Science Using Python ⭐ 13

Sharing the solved Exercises & Project of Statistics for Data Science using Python course on Coursera by Ankit Gupta

Diamonds In Depth Analysis ⭐ 12

Given dataset of Diamonds with features such as Cut, Carat, Clarity etc. I have used libraries such as Pandas, Numpy, Matplotlib, Seaborn to Analyse and Estimate the Price of Diamonds based on the features. Using Scikit-Learn , implemented Algorithms to increase the effective R2 score.

Reddittextclassification ⭐ 12

Reddit Gender Text-Classification.

Pga Tour Data Science Project ⭐ 10

Ml Helper ⭐ 9

Python library with helpers to speed up and structure machine learning projects.

Awesome Deepnote ⭐ 9

A curated list of extensions, python packages, machine learning and collaborative notebooks ready to run in Deepnote.

Real_estate_machine_learning ⭐ 7

Modelling real estate market in Budapest using machine learning

Predicting Baseball Statistics ⭐ 7

Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn

Nba Predictive Analytics ⭐ 7

Being able to perform gameplay analysis of NBA players, NBA Predictive Analytics is a basketball coach's new best friend.

Portifolio ⭐ 7

Este repositório contém meus projetos de Data Science e Machine Learning.

Concrete Compressive Strength Prediction ⭐ 6

The aim of this project is to develop a solution using Data science and machine learning to predict the compressive strength of a concrete with respect to the its age and the quantity of ingredients used.

Datascience Notebooks ⭐ 6

Collection of Data Science Notebooks

Predicting Survival On Titanic With Machine Learning And Graphical User Interface ⭐ 6

This program consists of clean and polished Graphical User Interface (GUI) that interacts with 8 Machine Learning models and data visualization tools through the use of different Python libraries. The user can interact with the GUI through selecting which model to run on the testing data on, which then takes them to a screen displaying the prediction results of the testing data as well as the general model accuracy. The screen also includes various buttons that, when selected, display complex an

Python Libraries Roadmap ⭐ 6

I am sharing lessons in various Python Libraries from scratch to intermediate including practice sets which were useful into my journey of Data Science.

Step Detection Using Machine Learning ⭐ 6

Implements an entire machine learning pipeline to train and evaluate a Random Forest Classifier on labeled gait data for walking. Data generated during the experiment has led to helpful insights in to the problem domain.

Cheatsheets ⭐ 6

This repo contains all the cheatsheets that I found Important.

Machine learning meets natural products

Datascience ⭐ 6

Coleção de recursos sobre Ciência de Dados com Python.

Career Track Data Scientist With Python ⭐ 5

This Repo contains tools that allow us to import, clean, manipulate, and visualize data —Includes Python libraries, like pandas, NumPy, Matplotlib, and many more to work with real-world datasets to learn the statistical and machine learning techniques.

Datascience_notebooks ⭐ 5

Datacamp's Data Science Track: comprehensions, plots, pandas, hacker statistics

Streamlit Yellowbrick ⭐ 4

Streamlit component for the Yellowbrick visualization and model diagnostics library

Skewedphillips ⭐ 4

Työttömyyden ennustamisen työkalu, joka hyödyntää kuluttajahintaindeksejä. Tool for predicting unemployment with consumer price indexes and machine learning.

Machine_learning_engineer_nd009 ⭐ 4

Machine Learning Engineer Nanodegree

Python For Data Scientists ⭐ 4

This repository will offer several learning strategies and advanced study material along with the interesting use case and programs that will help jump start your journey of becoming a data scientist with python !!!

Projects completed as part of the springboard curriculum

Ml And Datascience In Practice ⭐ 3

Concepts of Intelligence Artificial :brain:, Machine Learning ⚙️, and Deep Learning 🔮 EXPLAINED 🌱 in detail and put it into PRACTICE 🌳.

Datascience Machinelearning Projects ⭐ 3

Zero to Hero in DS/ML/AI , DataScience, Machine Learning, Artificial Intelligence, Preprocessing, Visualization, Missingvalues, Noises, Modeling

Predict Sales Revenue Using Multiple Regression Model ⭐ 2

In this project you will build and evaluate multiple linear regression models using Python. You will use scikit-learn to calculate the regression, while using pandas for data management and seaborn for data visualization. The data for this project consists of the very popular Advertising dataset to predict sales revenue based on advertising spending through media such as TV, radio, and newspaper.

ARCHIVED. This repo has been replaced by kingofsnake:

Decision Tree ⭐ 2

this repository is created to learn how implement Decision Tree for classification on specific purpose

Pybox Manager ⭐ 2

Iris Dataset 3d Marbles ⭐ 2

What if every row/flower from the Iris dataset was represented as a marble in a physics simulation? Using Scikit-Learn with Blender to render the iris dataset in 3d and create a physical simulation of a marble machine to classify the dataset.

Ibm_data_science_certification_course ⭐ 2

My repository where I publish my notebooks I have used while pursuing the IBM Data Science Professional Certificate on Coursera.

Osi_prediction ⭐ 2

This repo contains an End to End Implementation of the business problem (whether a person will generate revenue from the website) using Data Science and Machine Learning

Twitter Gender Text Analysis ⭐ 2

This Project contains a vivid analysis of texts, words (using NLP) typed by Male & Female users active on Twitter. 🐦👨📝

Academic_projects ⭐ 2

This repository contains projects I have completed during my undergraduate and graduate career.

Data Science Professional course

Sales Data Analysis ⭐ 2

Analyze sales data to evaluate better performance of the sales team

Heart Disease Risk Prediction ⭐ 2

Detection of heart disease risk using machine learning methods in Python. Self-development project.

Car Price Analysis ⭐ 1

Linear Regression Model for Car Price Prediction based on one or more features.

Covertype Prediction ⭐ 1

Stock_market_data_analysis ⭐ 1

Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to assess company performance and determine buy, sell, hold. Read me & instructions available in Spanish. This is a working repo, with plans to expand the project from technical analysis to fundamental analysis.

Nature Notebook ⭐ 1

A set of notebooks that leverage classical ML algorithms and DL neural nets using TF, Keras and Theano to address a series of issues in the field of conservation and biology.

Ibm Data Science Professional Certificate ⭐ 1

IBM Data Science Professional Certificate

Prediction Using Supervised Ml ⭐ 1

PROBLEM STATEMENT : Predict the percentage of an student based on the no. of study hours. This is a simple linear regression task as it involves just 2 variables.

Privacypreservingmachinelearning ⭐ 1

Privacy preserving supervised machine learning model uses a private aggregation of teacher ensembles technique and Laplacian Noise to protect training on sensitive network traffic data.

Pima_indian_diabetes ⭐ 1

Covid 19 Live ⭐ 1

Website displaying global coronavirus data using Flask and Bootstrap

A Python Framework for Integrating Classical and Quantum Mechanical Simulation Data, Experimental Data, and Cheminformatics into a Unified Predictive Engine for Macromolecular Design

Clustering ⭐ 1

Predicting Baseball Metric Clusters: Clustering Application in Python Using scikit-learn

Machine Learning Intro ⭐ 1

Introductory project to Linear Models, Decision Trees and Ensemble Methods

Solutions to Kaggle problems.

Support Vector Regression ⭐ 1

this repository is created to learn how implement SVM for classification on specific purpose

Loan_approval_predication_using_ann ⭐ 1

Loan Approval prediction is classic problem to learn and apply lots of data analysis techniques to create best Artificial Neural Network model. Given with the data set consisting of details of applicants loan and status whether the loan application is approved or not. On the basis of Artificial Neural Network model is to create with good accuracy.

Capstone Projects ⭐ 1

Capstone-Projects

Ai Griculture ⭐ 1

Best MLH Google Cloud Platform hack at MinvervaHacks 2019 at GitHub HQ.

Auto Mpg Prediction ⭐ 1

Predict the mileage per gallon (mpg) for cars

Data Science Setup ⭐ 1

The Data Science Setup (DSS) is an open-source repository where you can find the initial setup that you need to start your data science path 🔬

Kaggle Competitions ⭐ 1

Notebooks coded for kaggle's machine/deep learning competitions.

Bootcamp Ml Python ⭐ 1

Applied Machine learning in python from Noob to Ninja

Zomato Data Analysis ⭐ 1

Zomato Data Analysis - Explore the world of Zomato restaurant data through Python and data analysis. Uncover trends and insights using Pandas for data manipulation and Matplotlib for visualization. Join us in this journey to reveal the hidden stories within the data!

Ap_p03_1402 ⭐ 1

This is a completed summer project for my Advance Programming lesson at university. The first part of project is about data analyzing on some financial markets' data, the second part is about using Python and Scipy to solve a optimization problem.

Machinelearningwebapp ⭐ 1

Software Developer Salary Predictor

E Commerce Shopper S Behaviour Understanding ⭐ 1

Understand the online shopper purchasing pattern through Machine learning

Creating Customer Segments ⭐ 1

Applied Unsupervised Learning techniques on product spending data collected for customers of a wholesale distributor to identify customer segments hidden in the data.

Customer Conversion Prediction App ⭐ 1

🚀 Revolutionize customer targeting with a predictive ML model that optimizes insurance subscription. 🎯📊

Boston Housing Analysis ⭐ 1

Boston Housing Analysis: This repo presents an in-depth analysis of the Boston Housing dataset using Linear, Lasso, and Ridge Regression models. It explores data, preprocesses features, visualizes relationships, and evaluates model performance.

Universal Eda ⭐ 1

Universal-EDA: Simplify Exploratory Data Analysis with versatile data loading & analysis tools for various datasets & CSVs.

Nataliaskrzypczak.github.io ⭐ 1

Build A Monster ⭐ 1

Built an app that allows you to build your own monster and receive a predicted challenge rating and encounter difficulty by choosing the monster's characteristics and ability ratings as well as providing your party's size and average level.

Visualising And Forecasting Stocks ⭐ 1

A web app that uses machine learning to predict stock prices. Built with Dash and yfinance. Users can enter a company stock code and a date range to see the stock data plotted. The app also allows users to view predicted stock prices based on a machine learning algorithm trained on the historical data.

Harmony_original ⭐ 1

The Harmony project

Applications Of Data Science ⭐ 1

Programming assignments to demonstrate the Applications of Data Science. These were completed as part of the Plaksha Tech Leaders Fellowship program.

Shipping Dashboard ⭐ 1

Plotly Dash Application that predicts whether a shipment will arrive late & visualizes E-Commerce shipping data with dynamic visualizations.

Data Science Projects ⭐ 1

🚀 Collection of Data Science projects and experiments for learning purposes

mltools is a set of machine learning toolkits extracted from actual projects. Its main goal is to speed up data exploration, data extraction, data cleaning conversion, and model training, allowing machine learning engineers to focus on data analysis and model selection and evaluation.

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