491 skills found · Page 5 of 17
vishwajeetv / Stock PredictionNovice's attempt for Stock Prices Prediction & Portfolio Optimization using Machine Learning with Python & Scikit Learn
crflynn / Skrangerscikit-learn compatible Python bindings for ranger C++ random forest library
SuperKogito / Voice Based Speaker Identification:sound: :boy: :girl: :woman: :man: Speaker identification using voice MFCCs and GMM
raganmd / Touchdesigner Dominant ColorAn approach for finding dominant color in an image using KMeans clustering with scikit learn and openCV. The approach here is built for realtime applications using TouchDesigner and python multi-threading.
tgcsaba / KSigA scikit-learn compatible Python package for GPU-accelerated computation of the signature kernel using CuPy.
mgrani / LODA Lecture Notes On Data AnalysisLecture notes and excercises for data analysis in python. Includes introduction to Python, Numpy, Scipy, Scikit-Learn, SimpleCV. Topics Supervised/Unsupervised Learning, Signal Analysis, Image Analysis, Text and Web-Media Analysis
mike-perdide / Scikit Learn TutorialApplied Machine Learning in Python with scikit-learn
VISWESWARAN1998 / SklearnTrying to implement Scikit Learn for Python in C++ (Single Headers and No dependencies)
faizanbashir / Python DatascienceDocker image for python datascience container with NumPy, SciPy, Scikit-learn, Matplotlib, nltk, pandas packages installed.
dlab-berkeley / Python Text Analysis FundamentalsD-Lab's 9 hour introduction to text analysis with Python. Learn how to perform bag-of-words, sentiment analysis, topic modeling, word embeddings, and more, using scikit-learn, NLTK, gensim, and spaCy in Python.
Zurubabel / MachineLearning PortuguesArquivos das aulas de Machine Leaning em Português (python + scikit-learn - https://www.youtube.com/playlist?list=PL4OAe-tL47sb3xdFBVXs2w1BA2LRN5JU2_)
tjanez / PyMTLPyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-learn, SciPy and NumPy.
Komal01 / Phishing URL DetectionPhishing website detection system provides strong security mechanism to detect and prevent phishing domains from reaching user. This project presents a simple and portable approach to detect spoofed webpages and solve security vulnerabilities using Machine Learning. It can be easily operated by anyone since all the major tasks are happening in the backend. The user is required to provide URL as input to the GUI and click on submit button. The output is shown as “YES” for phishing URL and “NO” for not phished URL. PYTHON DEPENDENCIES: • NumPy, Pandas, Scikit-learn: For Data cleaning, Data analysis and Data modelling. • Pickle: For exporting the model to local machine • Tkinter, Pyqt, QtDesigner: For building up the Graphical User Interface (GUI) of the software. To avoid the pain of installing independent packages and libraries of python, install Anaconda from www.anaconda.com. It is a Python data science platform which has all the ML libraries, Data analysis libraries, Jupyter Notebooks, Spyder etc. built in it which makes it easy to use and efficient. Steps to be followed for running the code of the software: • Install anaconda in the system. • gui.py : It contains the code for the GUI and is linked to other modules of the software. • Feature_extractor.py: It contains the code of Data analysis and data modelling. • Rf_model.py: It contains the trained machine learning model. • Only gui.py is to be run to execute the whole software.
yinpinghui / Machine Learning机器学习笔记，来源于：李航的《统计学习方法》 周志华的《机器学习》 Peter Harrington 的《机器学习实战》 以及Python的 Scikit-Learn 开源库。
DavieObi / Indian Flight Price PredictionPredicts Indian flight prices using Python, Scikit-learn, and Streamlit. Features like airline, route, time, and stops feed a linear regression model for real-time estimates, aiding travel planning. Data preprocessing and an intuitive interface ensure accurate, user-friendly predictions.
andrewleeunderwood / Project MYMCombined computer vision techniques and convolutional neural networks to accurately classify chess pieces and identified their location on a chessboard. Tools: Python, Google Cloud, Keras, TensorFlow, OpenCV, Pillow, Scikit-learn, NumPy, Seaborn, and others
microsoft / NimbusML SamplesSamples for NimbusML, a Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.
gmiaslab / ClassificaIOThis repository contains ClassificaIO, a Python package that provides a graphical user interface (GUI) for machine learning algorithms from scikit-learn.
abhiwalia15 / Python For Data Science And Machine Learning Bootcampprogram with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning: Programming with Python NumPy with Python Using pandas Data Frames to solve complex tasks Use pandas to handle Excel Files Web scraping with python Connect Python to SQL Use matplotlib and seaborn for data visualizations Use plotly for interactive visualizations Machine Learning with SciKit Learn, including: Linear Regression K Nearest Neighbors K Means Clustering Decision Trees Random Forests Natural Language Processing Neural Nets and Deep Learning Support Vector Machines and much, much more!
rohanmistry231 / Customer Churn Analysis And ClassificationA Python-based project for analyzing customer churn using data visualization and machine learning models to predict churn probability. Employs libraries like Pandas, Scikit-learn, and Matplotlib for data preprocessing, model training, and insightful visualizations.
