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Bank Churn Prediction ⭐ 18

Bank customers churn dashboard with predictions from several machine learning models.

Datacamp Courses Megacollection ⭐ 18

70+ DataCamp Course Notes, Projects, Codes, Exercises on Python, R and SQL with full DS & ML Certification,

Paruluniversityai ⭐ 18

Artificial Intelligence Course at Parul University taught in Spring 2023 by Mr Smaranjit Ghose

YouML: A Machine Learning Toolkit

Workshops ⭐ 17

Tribe of AI workshops curriculum

Datathon Machine Learning ⭐ 13

Cree un modelo que puede predecir, a partir de ciertos datos, si un paciente va a permanecer en el hospital durante más o menos de 8 días. Los resultados fueron una precisión del 83% en la medida del recall y una precisión del 81%.

Pandas Tutorial ⭐ 12

Teaching materials for pandas and scikit-learn

Voice4rural ⭐ 12

A complete one stop solution for all the problems of Rural area people. 👩🏻‍🌾

Heart Diagnosis Engine ⭐ 12

2019년 민족사관고등학교 졸업 프로젝트

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.

Natural Language Processing Fundamentals ⭐ 12

Use Python and NLTK to build out your own text classifiers and solve common NLP problems

Jupyter_demonstrations ⭐ 11

Random jupyter notebooks on data analysis and machine learning

Pyai Github 2024 ⭐ 11

《 Python人工智能编程实践（2024年度版）》全书数据和开源代码【出版中】

Datascience ⭐ 11

Coleção de recursos sobre Ciência de Dados com Python.

Ml Kaggle Github 2022 ⭐ 11

《 Python机器学习及实践：从零开始通往Kaggle竞赛之路（2022年度版）》全书数据和开源代码

Forecasting Weather Using Machine Learning ⭐ 11

Forcasting Weather Using Multinomial Logistic Regression, Decision Tree, Naïve Bayes Multinomial, and Support Vector Machine

Scp Labs ⭐ 10

SCP Labs (Open Source Team for SuperCowPowers)

Navigating the Labyrinth of Time Series Anomaly Detection

Loan Prediction Using Machine Learning And Python ⭐ 10

To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and matplotlib

Lime Interpretable Ml ⭐ 10

An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learning algorithm - in this case a Radom Forest regressor.

Sklearn Features ⭐ 9

Helpful tools for building feature extraction pipelines with scikit-learn

Python_libraries_for_ml_and_dl ⭐ 9

Introduction to Pandas, Scikit-Learn and Keras

Ml Algorithms On Scikit And Keras ⭐ 8

Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..

Python For Data Analysis And Machine Learning ⭐ 8

This repo contains the projects made for the course of Jose Portilla on Udemy.

Data_science_introduction_with_python ⭐ 8

En este proyecto de GitHhub podrás encontrar parte del material que utilizo para impartir las clases de Introducción a la Ciencia de Datos (Data Science) con Python.

Python Analisis Modelado Datos ⭐ 8

Curso de introducción al análisis y modelado de datos con Python (pandas y scikit-learn) - https://cacheme.org/curso-introduccion-datos-pytho

Data Science Python ⭐ 8

Data Science analysis and visualization using Python.

Analiza_danych_w_jezyku_python ⭐ 8

M. Gągolewski, M. Bartoszuk, A. Cena, Przetwarzanie i analiza danych w języku Python, PWN, 2016

Randomforests ⭐ 8

Random Forest Library In Python Compatible with Scikit-Learn

Tdwi_intro_ml_one_day ⭐ 8

Hands-on Introduction to Machine Learning with Python, Pandas, Matplotlib and Scikit-Learn

Portifolio ⭐ 8

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

Jupyter Devbox ⭐ 8

A Docker DevBox for Jupyter Notebook's with a focus on Computer Vision, Machine Learning, Statistics and Visualization.

Python Libraries Roadmap ⭐ 7

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

Nba Predictive Analytics ⭐ 7

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

Data Science ⭐ 7

EDA and Machine Learning Models in R and Python (Regression, Classification, Clustering, SVM, Decision Tree, Random Forest, Time-Series Analysis, Recommender System, XGBoost)

Frankenfit ⭐ 7

A Python library for creating, fitting, and applying predictive data modeling pipelines.

Data Wrangler ⭐ 7

Wrangle messy numerical, image, and text data into consistent well-organized formats

A Python machine learning platform

Boston_housing ⭐ 7

We apply basic machine learning concepts on data collected for housing prices in the Boston, Massachusetts area to predict the selling price of a new home.

Sk Transformers ⭐ 7

A collection of pandas & scikit-learn compatible transformers for preprocessing and feature engineering 🛠

Image Classification Using Opencv And Svm ⭐ 7

Image Processing and classification using Machine Learning : Image Classification using Open CV and SVM machine learning model

Cheatsheets ⭐ 7

Here you find CheatSheets for Data Science Topics

Wine_quality ⭐ 6

This project focuses on analyzing datasets provided by Blueberry Winery, a portuguese wine producer company. Through a series of data wrangling, data cleaning, exploratory data analysis (EDA), and machine learning (ML) techniques, valuable insights were extracted from the data.

Ml Malware Classifier ⭐ 6

Machine Learning Android Malware Classifier

Inflearn New Year Event 2020 ⭐ 6

기획자와 마케터를 위한 이벤트 댓글 분석 - feat. 인프런 새해 다짐 이벤트

Machine learning meets natural products

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.

Deep Learning For Data Science ⭐ 6

Deep Learning Case Studies with Tensorflow and Keras for Beginners-Advanced: ANN, CNN, RNN, Self-Organizing Maps, Boltzmann Machines, Stacked Autoencoders

Machinelearning ⭐ 6

Machine Learning Modelling On Regression & Classification Problems

Cheatsheets ⭐ 6

This repo contains all the cheatsheets that I found Important.

Healthytrees ⭐ 6

🌿🗽Analysis of health of NYC trees with GIS, logistic regression & random forest 🏙 🌳 National Day of Civic Hacking 2016

Youtube Clickbait Detector ⭐ 6

Automatically detect clickbait Youtube videos from their metadata with a 96% F1 score.

Apparel Recommendations ⭐ 6

Content Based Filtering and Apparel Recommendations.

Datascience Notebooks ⭐ 6

Collection of Data Science Notebooks

Genesys Nlp Workshop ⭐ 6

A day-long methods workshop for the EASt GENESyS conference on Digital Youth in East Asia on 13 October 2017.

Clarusway_machine_learning_course ⭐ 6

This repository contains the Machine Learning lessons I took from the Clarusway Bootcamp between 10 Aug - 14 Sep 2022 and includes 17 sessions, 5 labs, 4 case studies, 5 weekly agendas, and 3 projects.

Datascience Foodie ⭐ 6

A project which implements the Data Science pipeline - Extracting raw data, Data Cleaning, Feature Extraction, Entity Matching, Data Matching, Data Merging and OLAP style exploration. The two entities chosen are Yelp and Zomato. Restaurant data from the same localities will be extracted from both sites and similar restaurants will be merged into one big table. OLAP style exploration will be done on that table to find out the insights from the collected data (Eg, Which is the most highly rated re

Kingofsnake ⭐ 6

Run Jupyter in a container. Includes example notebooks.

Nyt Topic Modeling ⭐ 6

Topic modeling for NYT articles.

Ncaa 2018 Mens March Madness ⭐ 6

March Madness Predictions

Anr_ml_docker ⭐ 5

This repository contains the necessary elements (code and artifacts) to build a Machine Learning container suitable to execute all the ML exercises of the AnR course.

Defect Predictor ⭐ 5

A ML model that predicts the number of bugs that might occur while reaching the QA Stage.

Pythonday Mexico 2017 ⭐ 5

Repo with all content concentrate about PythonDay Mexico. Here you could find the slides and other material presented at this event.

Datascience_notebooks ⭐ 5

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

Anomaly Detection ⭐ 5

Easy to understand classification problem from a highly skewed kaggle dataset. Solved using logistic regression and SVM, code inspired from top contributor.

Python Scientific Tools ⭐ 5

Lecture materials, Python Workshop: An Introduction to Scientific Tools

Ibm_machinelearning ⭐ 5

This repository encompasses various techniques of Regression, Classification, Clustering, Dimensionality Reduction, Deep Learning, and Recommendation Systems.

Recommended Bets By Email Mlb ⭐ 5

An advanced machine learning model utilizes a Random Forest Regressor to generate betting recommendations for Major League Baseball (MLB) games.

Nba Match Result And Score Prediction ⭐ 5

Prediction Model of NBA Match Results and Scores

Nasa Project Plastic Marine Debris Classification Machine Learning Software ⭐ 5

NASA Project; Plastic Marine Debris Classification-Machine Learning Software

Machine Learning Python Bootcamp ⭐ 5

Basic exercises on Machine Learning with Python , Reference Book : Python for Probability, Statistics, and Machine Learning by José Unpingco

Applied Data Science With Python Specialization ⭐ 5

Solutions and Notes for Coursera Specialization - Applied Data Science with Python Specialization by University of Michigan

American Express Default Prediction ⭐ 5

Machine learning solutions for the American Express credit default prediction Kaggle competition

Gameratingspredictor ⭐ 5

Quantitative Methods for Computer Science exam project. Machine learning algorithm solves multi-class classification problem of video games content rating (without playing it).

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.

Cve Search ⭐ 5

CVE-Search (name still in alpha), is a Machine Learning tool focused on the detection of exploits or proofs of concept in social networks such as Twitter, Github. It is also capable of doing related searches on Google, Yandex, DuckDuckGo on CVEs and detecting if the content may be a functional exploit, a proof of concept or simply information about the vulnerability.

Data Science Portfolio ⭐ 5

Portfolio of data science projects completed by me for self learning.Looking for job opportunity.

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