VJ1309

VJ1309's Stars

• Nixtla/statsforecast

  Lightning ⚡️ fast forecasting with statistical and econometric models.

  Language:Python3.9k268

• Nixtla/nixtla

  TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

  Language:Jupyter Notebook2.2k172

• unit8co/darts

  A python library for user-friendly forecasting and anomaly detection on time series.

  Language:Python7.9k859

• krishnaik06/Interview-Prepartion-Data-Science

  Language:Jupyter Notebook947637

• artefactory/streamlit_prophet

  Streamlit app to train, evaluate and optimize a Prophet forecasting model.

  Language:Python305221

• MicrosoftDocs/dynamics365smb-docs

  Welcome to the repository for the application help content for Dynamics 365 Business Central! This repo gives you access to the source files for the enduser Learn More content. It also provides a way for you to actively contribute to the current Business Central content.

  Language:HTML119197

• Sven-Bo/streamlit-navigation-menu

  Language:Python259

• khuyentran1401/Efficient_Python_tricks_and_tools_for_data_scientists

  Efficient Python Tricks and Tools for Data Scientists

  Language:Jupyter Notebook1.4k371

• h0ssein2011/Pydata_Yerevan_22

  Language:Jupyter Notebook31

• randomthought/mastering_python_pandas

  Doing the tutorial from Brandon Rhodes PyCon 2015

  Language:Python1518

• datawithdanny/sql-masterclass

  2.1k446

• KevinFasusi/supplychainpy

  Supplychainpy is a Python library for supply chain analysis, modelling and simulation. The library assists a workflow that is reliant on Excel and VBA.

  Language:JavaScript288100

• alexeygrigorev/data-science-interviews

  Data science interview questions and answers

  Language:HTML8.7k1.9k

• ageron/handson-ml2

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook27.7k12.7k

• dabeaz-course/practical-python

  Practical Python Programming (course by @dabeaz)

  Language:Python9.8k6.5k

• justmarkham/scikit-learn-tips

  :robot::zap: 50 scikit-learn tips

  Language:Jupyter Notebook1.7k433

• vinta/awesome-python

  An opinionated list of awesome Python frameworks, libraries, software and resources.

  Language:Python219k24.8k

• anurag-code/Feature-Engineering-Strategies-Repository

  feature Engineering in Detail

  Language:Jupyter Notebook26

• shreyashankar/gpt3-sandbox

  The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.

  Language:JavaScript2.9k883

• fastai/fastbook

  The fastai book, published as Jupyter Notebooks

  Language:Jupyter Notebook21.5k8.3k

• anurag-code/Survival-Analysis-Intuition-Implementation-in-Python

  Quick Implementation in python

  Language:Jupyter Notebook5354

• salabim/salabim

  salabim - discrete event simulation

  Language:Python29664

• srivatsan88/YouTubeLI

  Github repo to upload demo files of youtube videos and linkedin

  Language:Jupyter Notebook336354

• AutoViML/Auto_ViML

  Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

  Language:Python518101

• trangel/stats-with-python

  Learning statistics with Python

  Language:Jupyter Notebook5032

• abaranovskis-redsamurai/automation-repo

  Machine learning and process automation

  Language:Jupyter Notebook138115

• elena-roff/time-series-prophet

  Time Series Analysis & Forecasting of Rossmann Sales with Python. EDA, TSA and seasonal decomposition, Forecasting with Prophet and XGboost modeling for regression.

  Language:Jupyter Notebook19071

• facebook/prophet

  Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

  Language:Python18.3k4.5k

• josephmisiti/awesome-machine-learning

  A curated list of awesome Machine Learning frameworks, libraries and software.

  Language:Python65.4k14.6k

• ujjwalkarn/DataSciencePython

  common data analysis and machine learning tasks using python

  Language:Python5.2k1.5k