Crop-Prediction-Analysis-and-Visualization

To analyse the given dataset and to create a model for that particular dataset along with hypothesis testing

Technologies used

• Python3
• Matplotlib-pyplot
• Searborn
• Sklearn
• Pandas
• Numpy
• Scipy-stats

Task done

Data Science Process

1. Data collection

2. Data cleaning

3. Data tranformation

4. Exploratory data analysis

   • Handling Outlier
   • Scatterplots
   • Histogram
   • Boxplot
   • Bargraph

5. Model building

   • Linear Regression Model

Hypothesis Testing

• Z test : for large sample
• t test : for small sample and if std deviation is unknown
• Anova : comparision between different columns