saravana325da's repositories
Make-ASM-template-from-Excel
create ASM worksheet from invpack excel, using python openpyxl
aws-machine-learning-university-accelerated-tab
Machine Learning University: Accelerated Tabular Data Class
ChawlaAvi-Daily-Dose-of-Data-Science
A collection of code snippets from the publication Daily Dose of Data Science on Substack: https://avichawla.substack.com.
code
Compilation of R and Python programming codes
data
Data Sets for Machine Learning Practice
data_science_blogs
A repository to keep track of all the code that I end up writing for my blog posts.
DataAnalysisWithExcel
GitHub repo for Dave Langer's YouTube tutorials on data analysis with Excel
excel-to-python
Examples of how Python can speed up tasks that are cumbersome in Excel
Excel_Automation_with_Python
Automate Excel with Python
Qlik-Sense-Business-Analyst-Certification-Guide
This will guide you to prepare and certified in QSBA2019 exam.
FeatureEngineeringInPySpark
This repository contains code for performing data preprocessing, EDA, visualization and feature engineering using Apache Spark Dataframes and Pandas Dataframes in PySpark and Jupyter Notebook
Hello-World-example
Practice Git using Hello world
klib
klib is an easy to use Python library of customized functions for cleaning and analyzing data.
ML_big_data
machine learning with big data
ndvistats
Jupyter Notebook com fluxo de cálculo de estatísticas zonais para polígonos selecionados utilizando geopandas, google earth engine api, rasterio, rasterstats e folium.
pandasgui
A GUI for Pandas DataFrames
pycaret
An open-source, low-code machine learning library in Python
PySpark-Pandas-PostgreSQL-Querying
Mapping queries types between PySpark, Pandas and PostreSQL. A reference guide for those transitioning from one to the other.
python_excel_book
『Pythonでかなえる Excel作業効率化』のサポートページです。
PythonNotebooks
Sources for working wiht excel files in python
Solar-Energy-Antwerp
Predicting the Solar Energy production in Antwerp and deploying it in Streamlit on Heroku
streamlit
Streamlit — The fastest way to build data apps in Python