Pravesh Kit
by umapravesh 
Updated: Aug 5, 2022
Solution Kit
I have developed my project using regression, NumPy, pandas, and basic ML concepts. I had completed my internships in data science and the ML domain a long months ago.
Topics/Domain
PythonDataScienceHandbookby jakevdp
37909 Version:CurrentPython Data Science Handbook: full text in Jupyter Notebooks
PythonDataScienceHandbookby jakevdp
Jupyter Notebook 37909 Version:Current License: Permissive (MIT)
Hands-on-Machine-Learningby DeqianBai
1483 Version:CurrentA series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Hands-on-Machine-Learningby DeqianBai
Jupyter Notebook 1483 Version:Current License: Permissive (Apache-2.0)
data-science-notebooksby cedrickchee
79 Version:CurrentData science Python notebooks—a collection of Jupyter notebooks on machine learning, deep learning, statistical inference, data analysis and visualization.
data-science-notebooksby cedrickchee
Jupyter Notebook 79 Version:Current License: Permissive (MIT)
Libraries
NumPyby KeithGalli
330 Version:Current
License: No License (null)Jupyter Notebook & Data Associated with my Tutorial video on the Python NumPy Library
NumPyby KeithGalli
Jupyter Notebook 330 Version:Current License: No License
regressionby sajari
354 Version:v1.0.1Multivariable regression library in Go
regressionby sajari
Go 354 Version:v1.0.1 License: Permissive (MIT)
ML-From-Scratchby eriklindernoren
22015 Version:CurrentMachine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
ML-From-Scratchby eriklindernoren
Python 22015 Version:Current License: Permissive (MIT)
Deployment Information
I had not yet completed deployments. It is slight incomplete.