Categories

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AI

APIs

Bamboo

Basics

Big data

C

Catagorical

Combining

Data Analysis

Database

Digitalization

Files

GeoPandas

Indexing

Irrigation

Machine Learning

Machine learning

Mapping

Matplotlib

Modelling

Numpy

Pandas

Pivoting

Proximity Analysis

Pyspark

Python

Reshaping

SQL

Seaborn

Soil Analysis

Soils

Transformation

Visualizations

Yield prediction

algorithm

dashboarding

data

groupby

knn

logistic regression

machine learning

matplotlib

numpy

packages

pandas

patsy

pivot_tabes

plot

plotting

scikit-learn

seaborn

statsmodels

streamlit

time_series

All posts

All posts

knn

Efficiency of knn with sample data from scikit-learn

machine learning

logistic_regression

Efficiency of logistic regression with sample data from scikit-learn

logistic regression

machine learning

Big Data Analysis

Data analysis with Pyspark

Data analysis for reporting

Data analytics workflow

Data analysis example workbook

Group operations

Data aggregation, grouping, and pivoting

Plotting and Visualization

Using data visualization libraries

Time Series

A brief overview of Time series

Modeling libries in python

A brief introduction to modeling libraries in Python

Pandas_2

Data analysis with Pandas

Data Structures

Data Cleaning

Data Wrangling

Numpy_2

Data analysis with Numpy

Files (reading and writing)

Working with files

Functions

Data Structures

Data Analysis

Sample notebook to handle any data for EDA

Machine Learning

1D and 2D partial dependent plots with RandomForestClassifier and DecisionTreeClassifier

Machine Learning

GeoPandas

Data analysis with GeoPandas

Pandas

Data analysis with Pandas

Machine learning

Machine learning

Python

Python Coding Rules

Working with APIs

Downloading data

Generating data (data visualization, representations, etc.)

Lists, for loops

IF statements

Dictionaries

User input and while loops

Functions

Classes

Files and exceptions

Tools -ML sample project

Machine learning

Visualizations with matplotlib, seaborn, ploty, altair

Soil Chemistry Dataset

Exploratory analysis

Tools - Numpy

Justin Johnson, Volodymr Kuleshov, and Issac Caswell

Tools - matplotlib

Tools - pandas

Quarto Computations

Quarto Basics

Titanic dataset analysis using Pandas and Numpy

Data Visualization

How helpful can AI be in solving the water crisis?

Machine learning

Can bamboo help to solve climate crisis?

Can AI decide when to water crops?

Machine learning

Machine learning in Agriculture

Machine learning

Yield prediction

Irrigation scheduling with Machine learning

Machine learning

Digitaliztion of Agriculture

Machine learning

Geopandas2

Data analysis with GeoPandas

Proximity Analysis

Data analysis with GeoPandas

Proximity Analysis