ipynb-notebook
There are 54 repositories under ipynb-notebook topic.
leonvanbokhorst/NoteBooks-Statistics-and-MachineLearning
Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
Norod/my-colab-experiments
A repository for sharing ipynb's of my experiments with ML. Some notebooks are 'old' by now and might no longer work 'out of the box'.
jirutka/ipynb2html
Convert Jupyter (IPython) Notebooks to static HTML
mkearney/rmd2jupyter
Convert Rmd (rmarkdown) to ipynb (Jupyter notebook)
OmmmmooooO/wavelet101
A simple tutorial of wavelet, STFT and FFT
nishi1612/Modelling-and-Simulation
CS302 Modelling and Simulation Weekly Assignments in python based on modelling different systems - SARS, Malaria, SIR
isweluiz/data-science
Python for data science
MeitarBach/nba-individual-predictions-lstm
NBA players individual performance perdictions using Neural Networks. Comparison between LSTM and Feed Forward Architectures. Created by Meitar Bach, Mai Elenberg and Lior Ben-Ami
s-valent/jupyterlab-app
An app for macOS that launches and displays jupyter lab. No need to keep terminal open for that anymore!
Anyesh/KNN-notebook
Jupyter Notebook for KNN Algorithm.
diptangsu/Python-decorators
Where and how to use decorators in python.
Elijas/movie-review-sentiment-polarity-classifier
Training a classifier to differentiate between positive and negative movie review sentences in the "sentence polarity dataset v1.0"
sanjayan1734/19CSE305-Sem-V-term-project
19CSE305 Term project
anikchand461/SalaryAi
SalaryAi is a machine learning-powered web application that predicts employee salaries based on input features like age, gender, education level, job title, and years of experience. Built with FastAPI, it includes a sleek frontend interface and uses U.S. salary data for predictions.
bandirevanth/Google-ML-CrashCourse
My course-work and implementations...
Bluelord/Kaggle_Courses
Kaggle learn course tutorial and exercises notebook
Dwijraj/Natural-Language-Processing
Beginning with NLP
ortizfram/Time-Series-analysis-101
Python · Store Sales - Time Series Forecasting
ps0305/Python-3-Bootcamp
Python BootCamp
semereab-merry/Machine-learning-projects
Collection of data science projects. Each sector takes to kaggle page where you can find the codes along with explanations and analysis.
sflender/deep-learning-test
Exploring deep learning on Cooley
tottaz/torbjorns-iphyton-notebooks
This is a collection of sample iPhyton Notebooks, these can be used with Google Cloud Datalab
yashuv/NumPy-for-Data-Science
A well structured practical deep dive into functional programming in NumPy.
super-sg/Data-Analysis-and-Modeling-Mini-Projects
This is a repository where i will be adding any small scale data analysis project i do ~o((>ω< ))o~
yasmeensayeed/ML-project-prediction-dataset-salary-using-SVM-model
ML-project-prediction-dataset-salary-using-SVM-model
harishy0406/SkillBridge
🚀An AI-powered career assistant that recommends jobs and courses based on your skills, education, and region. 💬 Features a multilingual AI chatbot and interactive Streamlit dashboard for smart career guidance.
joeywhelan/search-scoring
Demonstration of use of SCORE_FIELD with Redis Search scoring
kelvinweijun/CO2-Emission-vs-Renewable-Energy-Analysis
Data analysis project to explore the correlation between greenhouse gas emissions and the use of renewable energy globally and regional
Kimulegen/matematica-aplicada
Ejercicios de Matemática Aplicada 2024_2_PV_MAT2121_24220631_PCT
mahi6148/KAN-BASED-VGG-11
This repository contains code for classfying images from KAN based VGG11 model with prototypical networks.
NishuMehta/Retail-Sales-Analysis
Analyzing a retail dataset to uncover trends in sales performance, customer behavior, and regional patterns, analysis using Python and Power BI.
reek02/Indian-Weather-Data-Analysis
Interactive Python & Streamlit app visualizing 2009–2019 Indian weather trends across eight major cities.
sahal-mulki/learning-pytorch
My .IPYNB notebooks made while learning PyTorch.
yamneg96/fraud-detection-code
A complete pipeline to detect fraudulent transactions using e-commerce and credit card data.