Python Data Mining Course

"Python Data Mining Course" I. Installation of Python and crawlers introduction
"Python Data Mining Course" two. Kmeans clustering data analysis and Anaconda introduction
"Python Data Mining Course" three. Kmeans clustering code implementation, operation and optimization
"Python Data Mining Course" four. Decision tree DTC data analysis and IRIS data set analysis
"Python Data Mining Course" five. Linear regression knowledge and prediction of diabetic cases
"Python Data Mining Course" six. Numpy, Pandas and Matplotlib package basics
"Python Data Mining Course" seven. PCA dimensionality reduction operation and subplot mapping
"Python Data Mining Course" eight. Association rules mining and apriori implementation shopping recommendations
"Python Data Mining Course" nine. Regression model linearregression Simple analysis of oxide data
"Python Data Mining Course" 10. Pandas, Matplotlib, PCA drawing Practical Code Supplement
"Python Data Mining Course" 11. Visual analysis of Pandas and matplotlib combined with SQL statements
"Python Data Mining Course" 12. Pandas, matplotlib combined with SQL statement comparison Chart analysis
"Python Data Mining Course" 13. Wordcloud Word cloud configuration process and frequency analysis
"Python Data Mining Course" 14. SciPy call Curve_fit to implement curve fitting

"Python Data Mining Course" 15. Matplotlib Call the Imshow () function to draw the heat map

Python Data Mining Course